1. SQL Server 2008 & 2008 R2 End of support
Microsoft Data Amp
9/18/2018 7:51 AM
SQL Server 2008 & 2008 R2 End of support
Speaker Name
Title
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

2. When will end of support happen?
SQL Server 2008 and 2008 R2 will no longer be supported starting on July 9, 2019.
Current support level
End mainstream
End extended
SQL Server 2014
Currently supporting all versions
July 9, 2019
July 9, 2024
SQL Server 2012
SQL Server 2012 SP2+ is in extended support which includes security updates, paid support, and requires purchasing non-security hotfix support
July 11, 2017
July 12, 2022
SQL Server 2008 and SQL Server 2008 R2
SQL Server 2008 and 2008 R2 are in extended support which includes security updates, paid support, and requires purchasing non-security hotfix support
July 8, 2014
SQL Server 2005
SQL Server 2005 support ended on April 12, 2016
April 12, 2011
April 12, 2016
Learn more about the SQL Server support lifecycle: support.microsoft.com/lifecycle/

3. What does end of support mean for SQL Server 2008 & 2008 R2?
No security
updates
Compliance concerns
Higher
maintenance costs
There will be no access to critical security updates, opening the potential for business interruptions
As support ends, your organization may fail to meet to meet compliance standards and industry regulations
Maintaining legacy servers, firewalls, intrusion systems, etc. gets expensive quickly

4. Security
At the end of support for SQL Server 2008 and SQL Server 2008 R2, there will be no more security updates and hotfixes from Microsoft, opening the door to potential business interruptions.
Don’t take the risk of losing precious data or having issues with your business applications performance because of potential weaknesses of your environment by not upgrading!
Without security updates you may fail to comply with standards and regulations that can seriously hamper your ability to:
Protect against hackers, malware with root access to machines, man in the middle scenarios, and government subpoenas
Securely purge for customer data, leaving it vulnerable to access by outside parties
Utilize E2E data protection across SQL Server and frequently used together services

5. Compliance
At the end of support for SQL Server 2008 and R2, your system may cease to be compliant with regulatory standards.
Failure to be compliant can lead to business complications, penalties and fines across several industries.
Regulatory compliance standards may no longer be met at end of support, such as:
PCI-DSS for credit card transactions
HIPAA for medical patient privacy
GLBA for financial institutions
GDPR for companies who do business in the EU

6. GDPR enforcement begins May 25, 2018
What is the GDPR?
General Data Protection Regulation (GDPR) is a comprehensive new privacy law that gives residents of the European Union (EU) greater control over their “personal data” (which is precisely defined by the GDPR) and requires organizations to maintain appropriate security of personal data. Failure to comply with the GDPR could result in significant penalties.
How much can companies be fined for noncompliance?
Companies can be fined up to €20m or 4% of annual global turnover, whichever is greater, for failure to meet certain GDPR requirements.
When will the GDPR come into effect?
The European Parliament approved and adopted the GDPR in April 2016 and enforcement will begin May 25, 2018
GDPR is multinational!
When it comes to GDPR compliance, it’s not just European organizations affected, those outside of the EU who process data in connection with the offering of goods and services to, or monitoring the behavior of, EU residents.
At the end of support for SQL Server 2008 and R2, your systems may no longer be compliant with upcoming GDPR regulations.
GDPR non-compliance can result in fines for organizations who do not adequately protect consumer data.
Download the GDPR e-book

7. MICROSOFT SQL BASED TECHNOLOGY supports GDPR Security compliance
Discover
Right to Erasure
Right to Data Portability
Manage Documentation
Privacy by Design
Protect Data Security
Data Transfer
Metadata queries Helps you search and identify personal data using queries
Data governance Using Windows permissions administrators can manage and govern access to personal data
Transparent Data Encryption Secure personal data through encryption at the physical storage layer using encryption-at-rest
Full text queries Using full-text queries against character-based data in SQL Server tables
Role-based access control Apply role-based access control to help manage authorization policies in the database, and to implement the separation of duties principle
Always Encrypted Prevent unauthorized, high-privileged users from accessing data in transit, at rest, and while in use
Extended properties Helping facilitate data classification using the Extended Properties feature to create data classification labels and apply them to sensitive personal data
Row-level security Prevent access to rows in a table (such as those that may contain sensitive information) based on characteristics of the user trying to access the data
Row-level security and Data Masking Protect personal data using Row-Level Security and Dynamic Data Masking features, which limit sensitive data exposure by masking the data to non-privileged users or applications.
SQL Queries and Statements Identify and delete target data
Master data services Keep personal data complete and ensure that requests to edit, delete, or discontinue the processing of data are propagated throughout the system
Vulnerability assessment
Scan databases for insecure configurations, exposed surface area, and additional potential security issues
Report Documentation
Breach Response and Notification
SQL Server Audit Verify changes to data that occur in a SQL Server table
Always On Availability Groups Maximize the availability of a group of user databases for an enterprise
SQL Server Audit Maintain audit trails
SQL Database Threat Detection Get help detecting anomalous database activities indicating potential security threats to the database
Reports that can serve as a security assessment for your database. These reports can also be used as part of a Data Protection Impact Assessment (DPIA)
SQL Server Audit Understand ongoing database activities, and analyze and investigate historical activity to identify potential threats or suspected abuse and security violations
SQL Server Audit Gain useful input for performing a DPIA
MICROSOFT SQL BASED TECHNOLOGY supports GDPR Security compliance
Discover: identify what personal data you have and where it resides
Protect: establish security controls to prevent, detect, and respond to vulnerabilities and data breaches
Control: manage how personal data is used and accessed.
Report: action data subjects requests and keep required documentation

8. WHY YOU SHOULD UPGRADE TO SQL SERVER 2017

9. more than an upgrade with SQL server 2017
With SQL Server 2017, your business doesn’t just receive an updated database. SQL Server 2017 is the industry leading data platform that provides built-in security, enhanced performance, and analytics to modernize your business. Now available also on Linux, SQL Server 2017 is the first commercial database with AI built-in and out-of-the-box.
Transform your enterprise applications with a complete and robust mission critical data platform by upgrading your current SQL Server to SQL Server 2017.
SQL
#1 OLTP performance¹
#1 DW performance¹
#1 price/performance¹
#1 price/performance in TPC-H non-clustered as of 9/1/
#1 TPC-H non-clustered benchmark as of 9/1/
#1 TPC-E performance as of 9/1/

10. SQL Server 2017 supports your GDPR security needs
Track personal data
Separation of duties
Encryption everywhere
Audit capabilities
Consistent programmability experience
Easily query databases to uncover personal data
Tag data with sensitivity labels using Extended Properties
Securely authenticate to your database and apply granular authorization policies
Restrict access to users using Dynamic Data Masking and Row-Level Security
Encrypt data whether at rest, in transit or in client applications
Track and log database events to identify potential threats or security violations
Use continuously learning algorithms to identify unusual or suspicious activity
Track and report on all database activities with granularly configurable auditing
Developers and application partners can build to a single programming surface
Scale across SQL editions and the cloud
SQL Server 2017 features
SQL Server 2016 SP1
Auditing for SQL Database and SQL Server audit
Temporal tables
SQL Query Language
Dynamic Data Masking (DDM)
Row-Level Security (RLS)
SQL Server authentication
Transparent Data Encryption
Always Encrypted
SQL Database Threat Detection

11. The evolution of the Microsoft data platform
Server & Tools Business
9/18/2018
The evolution of the Microsoft data platform
Modern DB platform
Mission
critical
Performance and productivity
Self-service BI
Cloud-ready
Mission critical and cloud performance
Docker & Linux
SQL Server 2000
XML ● KPIs
SQL Server2005
Management studio ● Mirroring
SQL Server 2008
Compression ● Policy-based mgmt. ● Programmability
SQL Server 2008 R2
PowerPivot (In-Memory) ● SharePoint integration ● Master data services
SQL Server 2012
AlwaysOn ● In-Memory ColumnStore ● Data quality services ● Power View ● Cloud
SQL Server 2014
In-memory across workloads ● Performance & scale ● Hybrid cloud optimized ● HDInsight service ● Cloud BI
SQL Server 2016 & 2017
Industry leading performance ● End-to-end mobile BI ● AI built-in ● Choice of language & platform ● Easy migration to the cloud
© 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.
The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

12. The Evolution of SQL Server
Increased performance and functionality – release over release
SQL Server 2016 & 2017
SQL Server 2014
Build modern applications using the language of your choice, on-premises and in the cloud, now on Windows, Linux and Docker containers. Take advantage of breakthrough scalability, performance, and availability for mission- critical, intelligent applications and data warehouses.
Least vulnerable database over the last seven years
Real-time analytics at up to 1M prediction/second
Turn raw data into meaningful reports that can be delivered to any device – at one-fourth the cost of other self-service solutions.
SQL Server 2012
Build mission-critical apps using high-performance, in- memory technology across OLTP, data warehousing, BI and analytics workloads without having to buy expensive add-ons or high- end appliances.
x faster transactions
100x query performance gains
Enhanced security and scalability
Hybrid backup and disaster recovery
According to Forrester, the payback period for SQL Server 2014 is only 9.5 months.
Forrester TEI Study 2014
SQL Server 2008 R2
A new standard for mission critical databases & end-to- end business intelligence with cloud-ready technologies & solutions.
“SQL Server 2012 delivers an ROI of up to 189% with a 1 year payback period“
Forrester TEI Study 2012
SQL Server 2008
Comprehensive, integrated data management & business intelligence with award-winning analytics.
PowerPivot: Named one of eWeek’s Top 10 Technologies of 2010
eWeek
SQL Server 2005
Comprehensive data platform solution with massive strides in mission critical & business intelligence capabilities
“Upgrading to Microsoft’s SQL Server 2008 delivered an anticipated ROI of between 162% & 181%.”
Forrester TEI Study 2008
Solid offering for departmental IT & enhanced enterprise data platform.
“Microsoft has made considerable strides in automating SQL Servers management tasks & improving performance tuning & uptime”
eWeek
2005
2017
¹Total Economic Impact™ Of Microsoft SQL Server, July 2014

13. System Center Marketing
9/18/2018
What’s New in SQL Server 2017 & Azure SQL database managed instance Since SQL Server 2008 & 2008 R2
OLTP Performance
Security
Business Intelligence
Hybrid Cloud
Real-time operational analytics with in-memory OLTP or on disk
In-memory for more applications
Unparalleled scalability with Windows Server 2016, with 12TB memory and Windows Server 2016 max cores
Enhanced AlwaysOn, with 8 secondaries and Replica Wizard
Multiple node failover clustering (3 synchronous, up to 8 replicas)
In memory OLTP
Buffer Pool Extension to SSDs
Enhanced query processing
Resource Governor adds IO governance
SysPrep as cluster level
Predictable performance with tiering of compute, network and story with Windows Server 2012 R2
Delayed Durability
Clustered Shared Volume support, VHDX support (Windows Server 2012 R2)
Manage on-premises and cloud apps (System Center 2012 R2)
Query optimization enhancements
Recovery Advisor
Windows Server Core
Live Migration
Online operations enhancements
Query Store
Temporal support
SQL Server Data Tools
Local DB runtime (Express)
Data-tier application component project template
Data-Tier Application Framework (DAC Fx)
Interoperability support (ADO.NET, ODBC, JDBC, PDO, ADO APIs and .NET C/C++, Java, Linux and PHP platforms)
Enhanced support for ANSI SQL standards
Transact-SQL Static Code Analysis tools
Transact-SQL code snippets
Intellisense
FileTable build on FILESTREAM
Remote Blob Storage with SharePoint 2010
Statistical Semantic Search
Spatial features, Full Globe and arcs
Large user-defined data types
Distributed Replay
Contained Database Authentication
System Center Management Pack for SQL Server 2012
Windows PowerShell 2.0 support
Multi-server Management with SQL Server Utility Control Point
Data Tier Application Component
Automatic Plan Correction
Transparent Data Encryption
Always Encrypted
Dynamic Data Masking
Row-Level Security
CC certification at High Assurance Level for 2014
Backup encryption support
Enhanced separation of duties
Default schema for groups
SQL Server Audit
Enhanced connectors, new transformations, object-level security, ragged hierarchies**
Graph data support
Mobile BI
Enhanced SSIS
Enterprise-grade Analysis Services
Advanced tabular models
In-memory analytics
Enhanced multidimensional models
JSON support
Enhanced DQS
Enhanced MDS
Modern Reporting Services
Temporal tables
Advanced data mining
Create mobile reports using the SQL Server Mobile Report Publisher
Consume with Power BI mobile apps
Azure HDInsight Service
Power BI
Power Map for Excel
Mash up data from different sources, such as Oracle & Hadoop
HA for StreamInsight, complex event processing
SQL Server Data Tools support for BI
Change Data Capture for Oracle
Import PowerPivot models into Analysis Services
Enhanced productivity and performance
Power View
Configurable reporting alerts
Reporting as SharePoint Shared Service
Build organization knowledge base
Connect to 3rd party data cleansing providers
Master Data Hub
Master Data Services Add-in for Excel
Graphical tools in SSIS
Extensible object model
SSIS as a Server
Broader data integration with more sources: DB vendors, cloud, Hadoop
Pipeline improvements
Stretch database
Partitioning for efficient data loading
Hybrid scenarios with SSIS
Enhanced backup to Azure
Easy migration to the cloud
Simplified cloud DR with AlwaysOn replicas
Simplified backup to Azure
Support for backup of previous versions of SQL Server to Azure
Cloud back-up encryption support
Simplified cloud Disaster Recovery with AlwaysOn replicas in Azure VMs
New Azure Deployment UI for SQL Server
Larger SQL Server VMs and memory sizes available in Azure
SQL Server Data Tools
Snapshot backups to Azure via SQL Server Management Studio
Data Warehousing
Advanced Analytics
Complete inventory of features since 2008 R2 by pillar for customers upgrading from SQL Server 2008 R2.
Adaptive Query Processing
Operational analytics
In-memory ColumnStore
Deployment rights for APS
Enhanced In-memory ColumnStore for DW
PolyBase for simple T-SQL to query structured and unstructured data
Enhanced database caching
Up to 15,000 partitions
Analytics Platform System
Python integration
R built-in to your T-SQL
RRE APIs with full parallelism and no memory limits for scale/performance
Built-in In-memory Advanced Analytics
Advanced tabular model
Direct query
Advanced data mining
SSDT in Visual Studio
Platform
Linux support
Container support
© 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.
The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

14. System Center Marketing
9/18/2018
What’s New in SQL Server 2017 & Azure SQL database managed instance Since Server 2008 & 2008 R2
OLTP Performance
Security
Business Intelligence
Hybrid Cloud
Real-time operational analytics with in-memory OLTP or on disk
In-memory for more applications
Unparalleled scalability with Windows Server 2016, with 12TB memory and Windows Server 2016 max cores
Enhanced AlwaysOn, with 8 secondaries and Replica Wizard
Multiple node failover clustering (3 synchronous, up to 8 replicas)
In memory OLTP
Buffer Pool Extension to SSDs
Enhanced query processing
Resource Governor adds IO governance
SysPrep as cluster level
Predictable performance with tiering of compute, network and story with Windows Server 2012 R2
Delayed Durability
Clustered Shared Volume support, VHDX support (Windows Server 2012 R2)
Manage on-premises and cloud apps (System Center 2012 R2)
Query optimization enhancements
Recovery Advisor
Windows Server Core
Live Migration
Online operations enhancements
Query Store
Temporal support
SQL Server Data Tools
Local DB runtime (Express)
Data-tier application component project template
Data-Tier Application Framework (DAC Fx)
Interoperability support (ADO.NET, ODBC, JDBC, PDO, ADO APIs and .NET C/C++, Java, Linux and PHP platforms)
Enhanced support for ANSI SQL standards
Transact-SQL Static Code Analysis tools
Transact-SQL code snippets
Intellisense
FileTable build on FILESTREAM
Remote Blob Storage with SharePoint 2010
Statistical Semantic Search
Spatial features, Full Globe and arcs
Large user-defined data types
Distributed Replay
Contained Database Authentication
System Center Management Pack for SQL Server 2012
Windows PowerShell 2.0 support
Multi-server Management with SQL Server Utility Control Point
Data Tier Application Component
Automatic Plan Correction
Transparent Data Encryption
Always Encrypted
Dynamic Data Masking
Row-Level Security
CC certification at High Assurance Level for 2014
Backup encryption support
Enhanced separation of duties
Default schema for groups
SQL Server Audit
Enhanced connectors, new transformations, object-level security, ragged hierarchies**
Graph data support
Mobile BI
Enhanced SSIS
Enterprise-grade Analysis Services
Advanced tabular models
In-memory analytics
Enhanced multidimensional models
JSON support
Enhanced DQS
Enhanced MDS
Modern Reporting Services
Temporal tables
Advanced data mining
Create mobile reports using the SQL Server Mobile Report Publisher
Consume with Power BI mobile apps
Azure HDInsight Service
Power BI
Power Map for Excel
Mash up data from different sources, such as Oracle & Hadoop
HA for StreamInsight, complex event processing
SQL Server Data Tools support for BI
Change Data Capture for Oracle
Import PowerPivot models into Analysis Services
Enhanced productivity and performance
Power View
Configurable reporting alerts
Reporting as SharePoint Shared Service
Build organization knowledge base
Connect to 3rd party data cleansing providers
Master Data Hub
Master Data Services Add-in for Excel
Graphical tools in SSIS
Extensible object model
SSIS as a Server
Broader data integration with more sources: DB vendors, cloud, Hadoop
Pipeline improvements
Stretch database
Partitioning for efficient data loading
Hybrid scenarios with SSIS
Enhanced backup to Azure
Easy migration to the cloud
Simplified cloud DR with AlwaysOn replicas
Simplified backup to Azure
Support for backup of previous versions of SQL Server to Azure
Cloud back-up encryption support
Simplified cloud Disaster Recovery with AlwaysOn replicas in Azure VMs
New Azure Deployment UI for SQL Server
Larger SQL Server VMs and memory sizes available in Azure
SQL Server Data Tools
Snapshot backups to Azure via SQL Server Management Studio
Data Warehousing
Advanced Analytics
Complete inventory of features since 2008 R2 by pillar for customers upgrading from SQL Server 2008 R2.
Adaptive Query Processing
Operational analytics
In-memory ColumnStore
Deployment rights for APS
Enhanced In-memory ColumnStore for DW
PolyBase for simple T-SQL to query structured and unstructured data
Enhanced database caching
Up to 15,000 partitions
Analytics Platform System
Python integration
R built-in to your T-SQL
RRE APIs with full parallelism and no memory limits for scale/performance
Built-in In-memory Advanced Analytics
Advanced tabular model
Direct query
Advanced data mining
SSDT in Visual Studio
Platform
Linux support
Container support
© 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.
The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

15. Reason over any data, anywhere Security and performance
The MODERN DATA Estate
On-premises
Private cloud
Cloud
HYBRID
Operational databases
Operational databases
Before I dive into the specific new features, let’s take a minute to talk about the hybrid data platform we’ve created for your innovation and disruption. What do we mean by hybrid?
At its core, the hybrid data platform enables simplicity and common sense:
It accepts any data from any source – structured or not, big or small.
It functions across on-premises and the public cloud without the divide between them
It offers exactly what you need – an operational database, a data warehouse, a data lake and a hybrid integration pipeline across on-prem and cloud
To Audience: How many of you have a hybrid environment with data on-prem and cloud?
At Microsoft, we know it’s not just about having the right technology, though. It’s about getting technology out of your way so you can use it intuitively to unlock your data and your business.
That’s why we’ve taken on the challenge of reimagining the modern data platform. We don’t just build products; we design an interconnected platform that:
Enables you to reason over any data anywhere,
Gives your flexibility of choice, and
Provides industry leading security and performance
Throughout the rest of the presentation, I’ll be sharing the most recent changes to our products and services.
Let’s get going!
Data warehouses
Data warehouses
Data lakes
Data lakes
Reason over any data, anywhere
Flexibility of choice
Security and performance

16. The modern data estate SQL Server R Microsoft’s on-premises solution
1/10th the cost of Oracle¹
Operational databases
Industry leader 4 years in a row 
Data warehouses
#1 TPC-H performance
Data lakes
T-SQL query over any data
* Price comparison comes from pricing information published on competitor’s website #1 price/performance in TPC-H non-clustered as of 9/1/
#1 TPC-H non-clustered benchmark as of 9/1/
#1 TPC-E performance as of 9/1/
Reason over any data, anywhere
Flexibility of choice
Security and Performance
Only commercial DB with AI built-in R
Any language, any platform, anywhere
MULTI
JAVA
SQL Server
Most secure over last 7 years
1Figure taken from public pricing information.

17. The modern data estate SQL Server R Microsoft’s cloud solution
1/10th the cost of Oracle
SQL
70% faster than competition
Operational databases
Azure SQL Database
2x the global reach
SQL
Data warehouses
Azure SQL Data Warehouse
99.9% SLA 
Data lakes
Azure Data Lake, HDInsight
Reason over any data, anywhere
Flexibility of choice
Security and Performance
All built-in R
Any language, any platform, anywhere
JAVA
SQL Server
More certifications than any other cloud

18. Paths to Upgrade YOUR SQL SERVER
Flexibility to upgrade and modernize your data platform with SQL Server 2008 or 2008 R2 without support, SQL Server 2016 & 2017 on-premises, on virtual machine, or in the cloud
SQL Server or 2017
Azure SQL Database
SQL Server
on Azure VMs
SQL Server 2008 or 2008 R2 without support
SQL
SQL
SQL
SQL
2016
2017

19. 1/10th the cost of Oracle¹
SQL Server 2017
Industry-leading performance and security NOW ON LINUX and DOCKER
Choice of platform and language
Industry-leading performance 
Most secure over the last 7 years
Only commercial DB with AI built-in
End-to-end mobile BI on any device
Microsoft
Tableau
Oracle
$120
$480
$2,230 R
1/10
Self-service BI per user
T-SQL
Java
C/C++
C#/VB.NET
PHP
Node.js
Python
Ruby
R and Python + in-memory at massive scale
Native T-SQL scoring
#1 OLTP performance
#1 DW performance
#1 price/performance
Based on what we just saw, it might not surprise you to hear that SQL Server 2017 has set some new benchmarks.
Our latest performance benchmarks on Windows and Linux blow away our old records.
OLTP – We have #1 OLTP TPC-E performance
DW: And, we have the fastest performing DW. With best price/performance.
We CONTINUE to offer the most secure database with fewer vulnerabilities over the last 7 years than Oracle or IBM
SQL Server offers Advanced Analytics built-in including R and Python. - Now you can use SQL Server to operationalize your data science models - Use native T-SQL commands to score data in near real-time
And unlike our competitors, we give you mobile BI built-in on every device.
SQL Server 2017 gives you your choice of platform and language, and the most consistent on-prem to cloud environment.
And it does all this for 1/10th the cost of Oracle
* Price comparison comes from pricing information published on competitor’s website #1 price/performance in TPC-H non-clustered as of 9/1/
#1 TPC-H non-clustered benchmark as of 9/1/
#1 TPC-E performance as of 9/1/
A fraction of the cost
In-memory across all workloads
Private cloud
Public cloud
Most consistent data platform
1Figure taken from public pricing information.

20. Azure SQL database
The best and most economical cloud destination for your SQL Server apps
Built-in intelligence
Breakthrough productivity and performance
Seamless and compatible
Competitive TCO
Azure SQL Database is a fully-managed relational database-as-a service that provides the best and most economical cloud destination for your SQL Server data. SQL Database uses the Microsoft SQL Server Engine, which means it’s high-performance, reliable, and secure. You can use it to build data-driven applications and websites in the programming language of your choice, without needing to manage infrastructure.
As a PaaS offering, Microsoft operates SQL Server for you and ensures availability and performance. PaaS features that come with SQL Database include, but are not limited to: provisioning and resizing (w/ Azure Portal experience), built-in auto HA (99.99%), automatic backup, point-in-time-restore (database-level), and active geo-replication. Because Microsoft assumes much of the daily maintenance, administration and infrastructure costs, your IT organization can quickly realize cost and operational benefits that you may not have otherwise experienced with your on-premises or hosted solution. In fact, a study by IDC found that organizations who modernized their databases from SQL Server to SQL Database realized up to a 406% ROI over five years.1
In addition to the benefits of PaaS, SQL Database also provides key benefits in some specific areas:
It has built-in intelligence that helps you dramatically reduce the costs of running and managing databases and maximizes both the performance and security of your application.
SQL Database provides breakthrough productivity and performance to meet the demands of today’s apps. Each database is isolated from each other and portable, each with its own service tier with a guaranteed performance level. SQL Database provides different performance levels for different needs, and enables databases to be pooled to maximize the use of resources and save money. You can adjust performance with minimal downtime to your app. Dynamic scalability enables your database to transparently respond to rapidly changing resource requirements and enables you to only pay for the resources that you need when you need them. In-memory technologies provide real-time business insight with up to 30x improved throughput and latency and up to 100x faster queries and reports.
It will provide the ability to seamlessly lift and shift your SQL Server data to the cloud to a managed instance with a full SQL Server programming surface area that removes the need to re-architect your apps, saving you time and resources.
SQL Database combines the operational and financial benefits of Azure PaaS with a financially-backed SLA and business continuity tools to protect the lifeblood of your business, your data. SQL Database will soon offer a Azure Hybrid Benefit for SQL Server that maximizes the investments you’ve made in on-premises licensing by providing discounted rates in the cloud.
1The Business Value of Microsoft Azure SQL Database Services, IDC, March 2015
Realize up to a 406%¹ ROI over on-premises and hosted solutions
1The Business Value of Microsoft Azure SQL Database Services, IDC, March 2015

21. SQL server on virtual machines
Run your new SQL Server 2017 licenses in an Azure VM to get more value from your SQL Server investments
Operating system choice – support for Windows Server, Red Hat Enterprise Linux, SUSE Linux Enterprise Server, and Ubuntu Linux.
Cloud flexibility – Set up and manage your SQL Server deployments in minutes, and then scale up or down on the fly.
Tuned for performance – Meet your toughest demands with virtual machines optimized by the team that built SQL Server.
Hybrid connectivity – Get the most out of your on-premises investments, and take advantage of all that Azure offers.
Highly-secured and trusted – Protect your entire data estate with a highly-secured database on the most compliant cloud.
For those of you who want great performance at an even lower total cost of ownership, why not run your new SQL Server 2017 licenses in an Azure VM – the only VM tuned by the team that built SQL Server?
Today, you’ll find new gallery images for both Windows Server and Linux as well as templates that make it a lot easier to create a SQL instance.
We also heard some of you need a simpler way to handle backup for lots of VMs, so we created a new enterprise backup solution.
Running VMs on Azure is a great way to get more value from your SQL Server investments.

22. Maximize your investments through multiple SQL Server Editions
SQL Server Enterprise Edition
Access mission-critical capabilities to achieve unparalleled scale, security, high availability, and leading performance for your Tier 1 database, business intelligence, and advanced analytics workloads.
SQL Server Enterprise Edition customers can choose between Business Critical and General Purpose core conversation ratios
Applies to server and client access license (CAL) customers
General purpose
Business critical
SQL Server Standard Edition
Find rich programming capabilities, security innovations, and fast performance for mid-tier applications and data marts. Easily upgrade to the Enterprise edition without having to change any code.
What does Data Hybrid Use Benefit Get You?
SQL Server EE core customers with SA
Can pay Base Rate on either General Purpose or Business Critical SKU
1 core on-premises = 4 cores in General Purpose SKU
1 core on-premises = 1 core in Business Critical SKU
SQL Server Standard Edition core customers with SA
Can pay Base Rate on General Purpose SKU only
1 core on-premises = 1 core in General Purpose SKU
SQL Server Enterprise Edition Server + CAL
Can pay base rate on either General Purpose or Business Critical SKU
Customers get cores depending on the number of CAL on-premises
SQL Server Standard Edition Server + CAL customer with SA
Can pay Base rate on General Purpose SKU only
Customers get cores depending on number of CALs on-premises
General purpose

23. Modernize your data platform today
Server & Tools Business
9/18/2018
Modernize your data platform today
Hybrid Cloud
Shared Lower cost
PaaS & SaaS
Azure SQL Database
Virtualized Database
SQL
Upgrade scenarios
Achieve mission-critical performance on-premises
Virtualize and consolidate with Windows Server
Reduce TCO and increase availability with Azure VMs
Easy on-ramp to cloud for web applications
IaaS
SQL Server in Azure VM
Virtualizes Machines
Virtual
SQL Server Private Cloud
Virtualized Machine + Appliance
Physical
SQL Server
Physical Machine (raw iron)
Dedicated Higher cost
SQL
Higher administration
Lower administration
© 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.
The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

24. SQL SERVER 2017 momentum
2,000,000+
Docker pulls
“It was incredibly easy to set up and move SQL Server from Windows to Linux”
Dean Chen VP of Engineering, dv01
“One of the easiest migration experiences that we've had”
Chris Amaris CTO, Convergent Computing
“It guarantees compatibility with more target customers”
Ron Dunn Lead Developer, Ajilius
There’s been a lot of exciting momentum around workloads on SQL Server 2017 already.
During preview alone there were:
2 million Docker pulls of SQL Server on Linux
The most adopted preview in the history of SQL Server!!
We’ve been hearing from customers about how easy it is to get started with SQL Server 2017 on Linux. And that’s EXACTLY what we’re working for.

25. SQL Server customer SUCCESS
Customers who are utilizing the power of SQL Server 2017

26. DELIVERING INSIGHTS FOR INVESTORS 15X FASTER Real-time analytics with SQL Server on Linux
Challenge
FinTech company’s loan intelligence platform experienced performance slowdowns with PostgreSQL
Slow query speeds and time-consuming maintenance
Impact
Query times cut from 30 to <2 seconds with SQL Server
Management time reduced 90%
Simplified dev operations with Linux
“The biggest benefit for us was that we were able to switch SQL Server to Linux and not have degradation in other areas.”
Devon Hinton, Software Engineer, dv01

27. 9/18/2018 7:51 AM
Humantech moves to SQL Server 2017 on Linux to reduce costs and boost efficiency
Scenario
Humantech is one of the world’s largest providers of ergonomics consulting and software services. The company decided to standardize its IT environment on one operating system in order to promote its continued growth and success. However, Humantech wanted to keep its preferred Windows database, Microsoft SQL Server, because of the solution’s reliable performance and familiar technology.
Solution
To satisfy both needs, the company upgraded from SQL Server 2008 to SQL Server 2017 on Linux. Now, Humantech saves on IT maintenance and has an updated database that offers fast operation and strong security.
“During the restore process, you simply upgrade the SQL Server 2017 database along the way. As a result, it was easy to deploy and gave us confidence in the evaluation.”
- Ken Lupo, Director of Technology at Humantech
“We did not want to go for a walk on the wild side. Our goal was to ensure that our solutions would be as durable, off-the-shelf, and minimally customized as possible, which is why we sought to go with a flexible database that we already knew so well.”
- Jim Good, President of Humantech
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

28. Utilize Microsoft migration tools for your on-premises upgrade to SQL Server 2017
Data Migration Assistant (DMA) enables you to upgrade by detecting compatibility issues that can impact database functionality in your new version of SQL Server and Azure SQL Database.
Database Experimentation Assistant (DEA) is a new A/B testing solution for SQL Server upgrades. It will assist in evaluating a targeted version of SQL for a given workload. Customers who are upgrading from previous SQL Server versions (SQL Server 2005 and above) to any new version of the SQL Server will be able to use these analysis metrics.
Database Experimentation Assistant (DEA)
Data Migration Assistant (DMA)
SQL
SQL
SQL On-premises
SQL On-premises

29. speed up your cloud migration journey with the Database Migration Guide
IaaS
PaaS
The Database Migration Guide creates a custom report on how to migrate your source data to the destination of your choice: on-premises, cloud, private cloud, IaaS or PaaS
Utilize Azure Database Migration Service (Azure DMS) or Azure Migrate to complete your migration
Azure DMS is designed as a seamless, end-to- end solution for moving on-premises SQL Server databases to the cloud
Azure Migrate is designed for migrating your on-premises VMs to Azure
Azure Database Migration Service (Azure DMS)
Azure Migrate
On-premises

30. Customer resources for migration & updating
100%
Scenario
Offer/resource
I am investing in projects on Linux
SQL Server on Red Hat Enterprise Linux offer
I want to move my on-premises SQL Server and Windows Server licenses to IaaS
License mobility through Software Assurance
Azure Hybrid Benefit for Windows Server
Azure credits
I want to move my on-premises SQL Server licenses to PaaS
Azure Hybrid Benefit for SQL Server
I want to scale through private cloud
Unlimited virtualization benefits
I want to go hybrid with SQL Server
Free-licensed SQL Server editions
New SA benefits
I want to grow with analytics services
Free R Server for HDInsight & Free Access Power BI

31. Start your MIGRATION journey today
Migrate
Make the move 4
Use the Database Migration Guide to obtain Technical and Business guidance
Run the MAP toolkit 1
Discover Identify your databases to upgrade
Take the Data Maturity Assessment 2
Assess Learn your data maturity
Innovate faster with SQL Server 2017 and Azure Data Service 3
Target Explore options to unlock your app potential with Cloud and AI

32. 9/18/2018 7:51 AM
© Microsoft Corporation. All rights reserved.

33. Modernize your apps with Data Accelerator
Cloud
On-Premise
Azure SQL Database
Azure SQL Database Managed Instance
SQL Server 2017
Migrate
Azure Database for MySQL
Azure Database for PostgreSQL
Modernize your apps with Data Accelerator
Qualify for Data Accelerator and begin your journey to the Cloud
aka.ms/dataaccelerator
For ISVs, Data Accelerator connects you with product and technical expertise to help you design and deploy trusted, intelligent applications. Through this program, we will partner with you to innovate your application offerings, maximize your cloud and data investments, and grow your business. 
Through our Data Accelerator app deployment program, you can leverage the latest innovations of SQL Server, including pre-release deployment on Linux, and qualify to build with our efficient upgrade service using tool automation across your application lifecycle, including assessment, upgrade and post upgrade verification. You can also gain access to the Advisor Tool to assess how to deploy intelligent app features such as R-services or advanced analytics to optimize your applications. Finally, this program gives you access SQL Server logo certification as well the ability to qualify for our go to market programs.
You can learn more about Data Accelerator at
Benefits:
Leverage our efficient upgrade service to modernize your application
Augment your app with intelligent features
Access upgrade and migration tools and benefit from subject matter experts advice
Requirements:
You are ready to proceed with upgrade or migration process within 3 months or less
You have available resources to support the upgrade or migration

34. SQL SERVER 2017 EDITIONS 9/18/2018 Enterprise Standard Express
Common programming surface area - develop once and scale across editions
MISSION CRITICAL IN-MEMORY PERFORMANCE AND SCALE, SECURITY AND HIGH AVAILABILITY
Mission critical high availability on Windows and Linux
Enhanced in-memory performance
Faster performance with Adaptive Query Processing
Unparalleled data security
PB scale data warehousing
End-to-end mobile BI with rich visualizations on all major platforms
In-database advanced analytics built-in at scale with R and Python
Enhanced hybrid scenarios including Stretch Database, HA, DR and backup
Software Assurance benefits include unlimited virtualization, Machine Learning Server for Hadoop, and Power BI Report Server
Standard
FULLY FEATURED DATABASE FOR MID- TIER APPLICATIONS AND DATA MARTS
End-to-end database security with Always Encrypted
Enhanced in-memory performance for all workloads
Basic reporting
Basic analytics
Hybrid scenarios: Stretch Database, backup
Express
SMALL-SCALE APPLICATIONS
Development and management tools
Easy backup and restore to Microsoft Azure
Free to use
This is a simplified 1-slide version for customers to show the all-up positioning of these four main SKUs.
Enterprise: Comprehensive, high-end capabilities for demanding database and business intelligence requirements.
Standard: Core data management and business intelligence capabilities for non-critical workloads with minimal IT resources.
Express: Easy to get started, free to use for redistribution and embedding.
Developer: Free version where customers can build, test, and demo apps in non-production environments
Now we’ll look at features in detail with a focus on Standard and Enterprise only.
Developer
DEVELOPMENT AND TESTING  Build, test, and demo apps in non-production environments  Free to use  All Enterprise Edition features available
© 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.
The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

35. Business Intelligence
SQL Server 2017 features by edition
Standard
Enterprise
OLTP Performance
Maximum number of cores
24 cores
Unlimited
Maximum memory utilized per instance
128 GB
OS Max
Maximum size
524 PB
Advanced OLTP (In-memory OLTP*, Operational analytics) 
Basic high availability (2-node single database failover, non-readable secondary)
Manageability (Management Studio, Policy-Based Management)
Enterprise data management (Master Data Services, Data Quality Services)
Advanced HA (Always On - multi-node, multi-db failover, readable secondaries)
Basic Adaptive Query Processing (Interleaved execution)
NEW*
Advanced Adaptive Query Processing (Batch mode memory grant feedback, Batch mode adaptive joins), Automatic Plan Correction
Security
Basic security (Always Encrypted, Row-level security, data masking, basic auditing, separation of duties)
Advanced security (Transparent Data Encryption)
Data Warehousing
Advanced data integration (Fuzzy grouping and look ups, change data capture)
Data warehousing (In-Memory ColumnStore, Partitioning)
T-SQL query across relational and Hadoop data with PolyBase**
Business Intelligence
Programmability & Developer Tools (T-SQL, CLR, Data Types, FileTable, JSON, graph data support)
Basic data integration (SSIS, built-in connectors)
Basic reporting & analytics*
Basic Corporate Business Intelligence (Multi-dimensional models, Basic tabular model, enhanced connectors, new transformations, object-level security, ragged hierarchies)*
Mobile BI*
Advanced Corporate Business Intelligence (Advanced tabular model, Direct query, in-memory analytics, advanced data mining)*
Advanced Analytics
Basic R and Python integration (Connectivity to R Open and Python, Limited parallelism)*
Advanced R and Python integration (Ability to run on GPUs and full parallelism through Machine Learning Services)*
Hybrid Cloud
Stretch Database*
General approach is to scale features down from EE to SE with throttles such that features are programmable in SE but EE is required for scale and performance:
Tabular Models in SE with 16GB memory cap per instance
In-memory OLTP in SE with 64MB memory restriction at the instance level
In-DB-Analytics allow developers to execute RRE-functions outside EE with close-to-RRO limitations (perf & dataset size)
Security, encryption story is fractured: TDE moves from EE to SE; Always Encrypted is EE
1-page overview of features by edition with new features highlighted.
Features in blue are newly available.
*In-memory OLTP subject to memory limits in Standard Edition **Available for Windows Server only

36. WHAT’S NEW IN SQL SERVER 2017 SINCE 2005
System Center Marketing
9/18/2018
WHAT’S NEW IN SQL SERVER 2017 SINCE 2005
OLTP Performance
Security
Data Warehousing
Business Intelligence
Advanced Analytics
Hybrid Cloud
Real-time operational analytics with in-memory OLTP or on disk
In-memory for more applications
Unparalleled scalability with Windows Server 2017, with 12TB memory and Windows Server max cores
Enhanced AlwaysOn, with 8 secondaries and Replica Wizard
Multiple node failover clustering (3 synchronous, up to 8 replicas)
In memory OLTP
Buffer Pool Extension to SSDs
Enhanced query processing
Resource Governor adds IO governance
SysPrep as cluster level
Predictable performance with tiering of compute, network and story with Windows Server 2012 R2
Delayed Durability
Clustered Shared Volume support, VHDX support (Windows Server R2)
Query optimization enhancements
Query Store
Temporal support
Transparent Data Encryption
Always Encrypted
Row-level security
Dynamic data masking
Enhanced separation of duties
CC certification at High Assurance Level for 2017
Backup encryption support
Adaptive Query Processing
Operational analytics
In-memory ColumnStore
Deployment rights for APS
Enhanced In-memory ColumnStore for DW
PolyBase for simple T-SQL to query structured and unstructured data
Enhanced database caching
Up to 15,000 partitions
Analytics Platform System
Enhanced connectors, new transformations, object-level security, ragged hierarchies**
Graph data support
Mobile BI
Enhanced SSIS
Enterprise-grade Analysis Services
Advanced tabular models
Enhanced multidimensional models
JSON support
Enhanced DQS, enhanced MDS
Enhanced Reporting Services
Temporal tables
In-memory analytics
Advanced data mining
Create mobile reports using the SQL Server Mobile Report Publisher
Consume with Power BI mobile apps on all major platforms
Azure HDInsight Service
Pin report items to Power BI
Power Map for Excel
Mobile BI interfaces for Power BI
Power BI in Office 365
Microsoft Visual Studio dev tools
Python integration**
R built-in to your T-SQL
RRE APIs with full parallelism and no memory limits for scale/performance
Built-in In-memory Advanced Analytics
Advanced tabular model
Direct query
Advanced data mining
Stretch database
Partitioning for efficient data loading
Hybrid scenarios with SSIS
Enhanced backup to Azure
Easy migration to the cloud
Simplified cloud DR with AlwaysOn replicas
Simplified backup to Azure
Support for backup of previous versions of SQL Server to Azure
Cloud back-up encryption support
Simplified cloud Disaster Recovery with AlwaysOn replicas in Azure VMs
New Azure Deployment UI for SQL Server
Larger SQL Server VMs and memory sizes available in Azure
License Mobility with Software Assurance
Complete inventory of features since 2005 by pillar for customers upgrading from SQL Server 2017.
Platform
Linux support
Container support
**Available for Windows Server only.
© 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.
The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

37. WHAT’S NEW IN SQL SERVER 2017 SINCE 2012
System Center Marketing
9/18/2018
WHAT’S NEW IN SQL SERVER 2017 SINCE 2012
OLTP Performance
Security
Data Warehousing
Business Intelligence
Advanced Analytics
Hybrid Cloud
Real-time operational analytics with in-memory OLTP or on disk
In-memory for more applications
Unparalleled scalability with Windows Server 2016, with 12TB memory and Windows Server max cores
Enhanced AlwaysOn, with 8 secondaries and Replica Wizard
Multiple node failover clustering (3 synchronous, up to 8 replicas)
In memory OLTP
Buffer Pool Extension to SSDs
Enhanced query processing
Resource Governor adds IO governance
SysPrep as cluster level
Predictable performance with tiering of compute, network and story with Windows Server 2012 R2
Delayed Durability
Clustered Shared Volume support, VHDX support (Windows Server R2)
Manage on-premises and cloud apps (System Center 2012 R2)
Query optimization enhancements
Query Store
Temporal support
Automatic Plan Correction
Transparent Data Encryption
Always Encrypted
Row-level security
Dynamic data masking
Enhanced separation of duties
CC certification at High Assurance Level for 2014
Backup encryption support
Adaptive Query Processing
Operational analytics
In-memory ColumnStore
Deployment rights for APS
Enhanced In-memory ColumnStore for DW
PolyBase for simple T-SQL to query structured and unstructured data
Enhanced database caching
Up to 15,000 partitions
Analytics Platform System
Enhanced connectors, new transformations, object-level security, ragged hierarchies**
Graph data support
Mobile BI
Enhanced SSIS
Enterprise-grade Analysis Services
Advanced tabular models
Enhanced multidimensional models
JSON support
Enhanced DQS, enhanced MDS
Enhanced Reporting Services
Temporal tables
In-memory analytics
Advanced data mining
Create mobile reports using the SQL Server Mobile Report Publisher
Consume with Power BI mobile apps on all major platforms
Azure HDInsight Service
Pin report items to Power BI
Power Map for Excel
Mobile BI interfaces for Power BI
Python integration**
R built-in to your T-SQL
RRE APIs with full parallelism and no memory limits for scale/performance
Built-in In-memory Advanced Analytics
Advanced tabular model
Direct query
Advanced data mining
Stretch database
Partitioning for efficient data loading
Hybrid scenarios with SSIS
Enhanced backup to Azure
Easy migration to the cloud
Simplified cloud DR with AlwaysOn replicas
Simplified backup to Azure
Support for backup of previous versions of SQL Server to Azure
Cloud back-up encryption support
Simplified cloud Disaster Recovery with AlwaysOn replicas in Azure VMs
New Azure Deployment UI for SQL Server
Larger SQL Server VMs and memory sizes available in Azure
Complete inventory of features since 2012 by pillar for customers upgrading from SQL Server 2012.
Platform
Linux support
Container support
**Available for Windows Server only.
© 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.
The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

38. WHAT’S NEW IN SQL SERVER 2017 SINCE 2014
System Center Marketing
9/18/2018
WHAT’S NEW IN SQL SERVER 2017 SINCE 2014
OLTP Performance
Security
Data Warehousing
Business Intelligence
Advanced Analytics
Hybrid Cloud
Real-time operational analytics with in-memory OLTP or on disk
In-memory for more applications
Unparalleled scalability with Windows Server 2016, with 12TB memory and Windows Server max cores
Multiple node failover clustering (3 synchronous, up to 8 replicas)
SQL Server Development Tools in Visual Studio
Query Store
Temporal support
Automatic Plan Correction
Transparent Data Encryption
Always Encrypted
Row-level security
Dynamic data masking
Adaptive Query Processing
Operational analytics
In-memory ColumnStore
Deployment rights for APS
Enhanced In-memory ColumnStore for DW
PolyBase for simple T-SQL to query structured and unstructured data
Enhanced database caching
Up to 15,000 partitions
Enhanced connectors, new transformations, object-level security, ragged hierarchies**
Graph data support
Mobile BI
Enhanced SSIS
Enterprise-grade Analysis Services
Advanced tabular models
JSON support, enhanced DQS
Enhanced MDS
Enhanced Reporting Services
Temporal tables
In-memory analytics
Advanced data mining
Access to reports online or offline
Create mobile reports using the SQL Server Mobile Report Publisher
Consume with Power BI mobile apps
Python integration**
R built-in to your T-SQL
RRE APIs with full parallelism and no memory limits for scale/performance
Built-in In-memory Advanced Analytics
Advanced tabular model
Direct query
Advanced data mining
Stretch database
Partitioning for efficient data loading
Hybrid scenarios with SSIS
Enhanced backup to Azure
Easy migration to the cloud
Simplified cloud DR with AlwaysOn replicas
Complete inventory of features since 2008 R2 by pillar for customers upgrading from SQL Server 2014 (heroes features on earlier slides).
Platform
Linux support
Container support
**Available for Windows Server only.
© 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.
The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.