1. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. MarkLogic Overview of Key Features

2. Geospatial Support Full-text Search Flexible Indexes Native JSON Store Native XML Store Real-time Alerting Native RDF Triple Store Bitemporal Tiered Storage Fully Transactional Server-side JavaScript Hadoop and HDFS Cloud Ready (AWS) SQL Support Scalable and Elastic MarkLogic Content Pump REST API Samplestack Ad-hoc Queries Schema Agnostic XA Transactions 24/7 Engineering Support LDAP and Kerberos Security Security Certifications Configuration Management Monitoring and Management Performance at scale Customizable Failover Customizable Backup Atomic Forests Point-in-time Recovery ACID Transactions Index Across Data Types Flexible Replication Semantic Inference Multi-OS Support POWERFULAGILETRUSTED MarkLogic / Enterprise NoSQL Database Platform

3. MarkLogic 7 Semantics Foundation Next-gen Infrastructure Support Elasticity Tiered Storage Continue Hadoop Roadmap Run on HDFS MarkLogic 7 Semantics Foundation Next-gen Infrastructure Support Elasticity Tiered Storage Continue Hadoop Roadmap Run on HDFS MarkLogic 6 Accessibility SQL/BI Java/REST/JSON UDFs/Analytics mlcp Hadoop Distributions HDFS Tech Preview MarkLogic 6 Accessibility SQL/BI Java/REST/JSON UDFs/Analytics mlcp Hadoop Distributions HDFS Tech Preview MarkLogic Server 3.1 Advanced Search Features Wildcard queries Directories Forward Compatibility Support for Sun Solaris XCC MarkLogic Server 3.1 Advanced Search Features Wildcard queries Directories Forward Compatibility Support for Sun Solaris XCC MarkLogic 8 JSON Storage Server-side JavaScript Semantics Bitemporal Samplestack Java Client API Node.js Client API Management API Incremental Backup Flexible Replication Enhanced HTTP Server MarkLogic 8 JSON Storage Server-side JavaScript Semantics Bitemporal Samplestack Java Client API Node.js Client API Management API Incremental Backup Flexible Replication Enhanced HTTP Server MarkLogic Server 4.2 Replication Failover Database Rollback Compartment Security Search Optimizations Search API Information Studio Application Builder MarkLogic Server 4.2 Replication Failover Database Rollback Compartment Security Search Optimizations Search API Information Studio Application Builder MarkLogic Server 4 Alerting Entity Enrichment Geospatial Analytics (co-occur., value lexicons, bucketing) Modular documents Security auditing HA: forest-level failover MarkLogic Server 4 Alerting Entity Enrichment Geospatial Analytics (co-occur., value lexicons, bucketing) Modular documents Security auditing HA: forest-level failover MarkLogic Server 5 Complete Enterprise Roadmap Database Replication Multi-statement and distributed transactions Point-in-time recovery Start Hadoop Roadmap Hadoop Connector MarkLogic Server 5 Complete Enterprise Roadmap Database Replication Multi-statement and distributed transactions Point-in-time recovery Start Hadoop Roadmap Hadoop Connector MarkLogic Server 2 Clustering Role-based security w/BASIC authentication Document Collections Enhanced Search (stemming, thesaurus, wildcard) WebDAV support Document locking Enhanced XDBC support MarkLogic Server 2 Clustering Role-based security w/BASIC authentication Document Collections Enhanced Search (stemming, thesaurus, wildcard) WebDAV support Document locking Enhanced XDBC support MarkLogic Server 3 Advanced Search Features Content processing (including PDF, Word, Excel, PPT) HTTP calls Failover Support for Linux, Windows Server,.NET MarkLogic Server 3 Advanced Search Features Content processing (including PDF, Word, Excel, PPT) HTTP calls Failover Support for Linux, Windows Server,.NET Cerisent XQE Server 1 ACID Transactions Text Based Search Backup and Restore Linux Support Web-based Protocols HTTP and XDBC XQuery Cerisent XQE Server 1 ACID Transactions Text Based Search Backup and Restore Linux Support Web-based Protocols HTTP and XDBC XQuery 2003200420052006201020112012200820132014 Continuous Innovation

4. Enterprise NoSQL Database Platform Flexible Data Model Store and manage JSON, XML, RDF, and Geospatial data with a document- centric, schema- agnostic database Scalability and Elasticity ACID Transactions Search and Query Semantics Certified Security Hadoop Integration Scale to petabytes of data without over-provisioning or over-spending Avoid data loss, data corruption, and stale reads—even at speed and scale Lightning fast, sophisticated, sub-second search and query across all of your data Store and query linked data as RDF and SPARQL Make your Hadoop better by connecting it to MarkLogic Government- grade, granular, role-based security

5. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 5 Flexible Data Model  JSON, XML, RDF, Geospatial data, and also large binaries—all stored and managed on a single unified platform  Document-centric and schema-agnostic for agility, reducing lost fidelity and functionality from data conversion and brittle ETL  Use the data format that makes the most sense, keeping the data in its most readable form Store and manage JSON, XML, RDF, and Geospatial data with a document-centric, schema-agnostic database

6. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 6 Flexible Data Model Schema-agnostic, structure-aware Suspicious vehicle… Suspicious vehicle near airport 2012-11-12Z observation/surveillance suspicious activity suspicious vehicle 37.497075 -122.363319 IRIID IRIID isa value license-plate ABC 123 A blue van… A blue van with license plate ABC 123 was observed parked behind the airport sign… Unstructured full - text Geospa tial Valu es Semantic ( RDF ) Triples

7. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 7 Search and Query Built-in search to find answers in documents, relationships, and metadata  In MarkLogic, a search is a query, and a query is search  Ingest your data as-is and rely on over 30 sophisticated indexes to get better answers from today’s data  Lightning fast, sub-second search across hundreds of terabytes of data and billions of documents  Powerful, agile development providing complex query capability across heterogeneous data  Full-featured UX with full-text search, type-ahead suggestions, facets, snippeting, highlighted search terms, proximity boosting, relevance ranking, and language support JavaScriptXQuerySPARQL Rich Query Capability In-database MapReduce Full-text Search Semantic Search Geospatial Search

8. © COPYRIGHT 2013 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 8 Universal Index “blue”123, 125, 129, 130, 152, 344, … “van”123, 125, 126, 129, 130, 152, … “observed”125, 152, 516, 522, 765, 890, … “blue van”123, 125, 129, 130, 152, 486, … STEM “observe”125, 152, 516, 522, 765, 890, … … / … suspicious activity … 2012-11-12Z … Collection:Vetted… Role:Analyst + Action:Read… … … … TermTerm List MarkLogic indexes…  Words  Phrases  Stemmed words and phrases  Structure  Words and phrases in the context of structure  Values  Collections  Security Permissions Document References 125, 516, 890, … Which vetted reports contain the phrase blue van?

9. © COPYRIGHT 2013 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 9 Range Index “blue”123, 125, 129, 130, 152, 344, … “van”123, 125, 126, 129, 130, 152, … “observed”125, 152, 516, 522, 765, 890, … “blue van”123, 125, 129, 130, 152, 486, … STEM “observe”125, 152, 516, 522, 765, 890, … … / … suspicious activity … 2012-11-12Z … Collection:Vetted… Role:Analyst + Action:Read… … … … TermTerm List Document References 125, 516, 890, … Which vetted reports containing the phrase blue van were submitted before 2014? Range indexes map document IDs to values, and vice-versa in a compact in-memory representation.

10. © COPYRIGHT 2013 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 10 Which vetted reports about a blue van from before 2013 with this location refer to partial plate ABC? Which vetted reports about a blue van from before 2014 refer to a location near the airport? Triple Index Geospatial Index “blue”123, 125, 129, 130, 152, 344, … “van”123, 125, 126, 129, 130, 152, … “observed”125, 152, 516, 522, 765, 890, … “blue van”123, 125, 129, 130, 152, 486, … STEM “observe”125, 152, 516, 522, 765, 890, … … / … suspicious activity … 2012-11-12Z … Collection:Vetted… Role:Analyst + Action:Read… … … … TermTerm List Document References 125, 516, 890, … The Geospatial index is like a 2D range index, with built-in query support for point, box, circle, and complex polygons.

11. © COPYRIGHT 2013 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 11 Which vetted reports about a blue van from before 2013 with this location refer to partial plate ABC? The Triple index is an index of “facts” expressed as Semantic triples. It can efficiently query and join billions of “linked data” triples. All indexes fully composable for sub - second response to very complex queries Triple Index “blue”123, 125, 129, 130, 152, 344, … “van”123, 125, 126, 129, 130, 152, … “observed”125, 152, 516, 522, 765, 890, … “blue van”123, 125, 129, 130, 152, 486, … STEM “observe”125, 152, 516, 522, 765, 890, … … / … suspicious activity … 2012-11-12Z … Collection:Vetted… Role:Analyst + Action:Read… … … … TermTerm List Document References 125, 516, 890, …

12. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 12 Semantics Enterprise triple store, document store, and database combined  Store and query billions of facts and relationships; infer new facts  Facts and relationships provide context for better search  Flexible data modeling—integrate and link data from different sources  Standards-based for ease of use and integration – RDF, SPARQL, and standard REST interfaces

13. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 13 Scalability and Elasticity Massive enterprise scalability and elasticity  Scale horizontally in clusters on commodity hardware to hundreds of nodes, petabytes of data, and billions of documents  Process thousands of transactions per second with distributed XA transactions  Start small and scale up or down to meet capacity and performance demands without over- provisioning or over-spending  Even better with Tiered Storage D-NODE E-NODE D-NODE Add nodes to scale out Automated failover

14. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 14 ACID Transactions Don’t settle for a BASE-ic database  Reads and writes are durably logged to disk, and strongly isolated from other transactions  Prevents data corruption, stale reads, and inconsistent data—common problems with databases that settle for eventual consistency—and all of which are unacceptable  No performance drop-offs at scale. Production applications run tens of thousands of very complex transactions per second for tens of thousands of users  Accomplished using MVCC (multi-version concurrency control)

15. © COPYRIGHT 2013 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 15 /articles/doc1.xml ∞ ∞ 423 628 Creation Timestamp Deletion Timestamp Year ∞∞ Document Title Author Section First Last Metadata 628 /articles/doc1.xml Document Title Author Section First Last Metadata MVCC Benefits:  ACID transactions  Zero-latency search indexing  High throughput  Lock-free reads  Serial writes  Point-in-time query  Fast database rollback ACID Transactions Implemented Using MVCC

16. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 16 Government-Grade Security Certified, granular security for modern data governance  Certified security – Higher security certifications than any other NoSQL database, carrying a Common Criteria Security Certification and being certified to run in classified government systems  Granular Security – Role Based Access Control (RBAC) at the document level, and can also employ other models for cell-level security Privacy Provenance Compliance Continuity Retention Security Data Governance With MarkLogic

17. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 17 MarkLogic and Hadoop Make Hadoop better by connecting it to MarkLogic  Handle both operational and analytical workloads  Run MarkLogic directly on HDFS on data staged in HDFS  Leverage the economics of HDFS by using it as a storage tier for archival data  Connect MarkLogic to Hadoop to run large-scale MapReduce jobs for ETL, analytics, or enrichment

18. MORE FEATURES

19. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 19 Tiered Storage Move data to different tiers based on cost and performance trade-offs  Use a fluid mix of flash storage, traditional local or shared disk storage, HDFS, or Amazon cloud storage  Migrate data automatically between storage tiers without any ETL, additional software, or expensive infrastructure changes  Optimize data availability while reducing the costs of storage  Manage data across the information lifecycle

20. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 20 High Availability and Disaster Recovery Keep your data continuously safeguarded and available  HA using shared-disk or local-disk failover – Shared-nothing architecture so there is no single point of failure – ACID transactions ensure full redundancy and consistency  DR using customizable database replication – Point-in-time recovery with journal archiving – Incremental Backup consumes less storage and can be completed quickly Database Replication Full database replication with journal frames that enable point-in-time disaster recovery

21. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 21 Cloud Deployment Get started quickly on AWS for only 99 cents an hour  Build a single cluster in minutes on Amazon Web Services using pre- packaged AMIs  Easily and quickly scale up or back down  Blend on-premise, virtualized, and AWS nodes in a single cluster, and scale out without downtime  Flexibility to move licenses across your environment as changes occur

22. MARKLOGIC 8 FEATURES

23. Developer Experience JSON Unified indexing and query for today’s web and SOA data Server-side JavaScript JavaScript runtime inside MarkLogic using Google’s V8 Node.js Client API Enterprise NoSQL database for Node.js applications Java Client API NoSQL agility in a pure Java interface MarkLogic 8 is more powerful than ever, but remarkably easy to use Enterprise triple store, document store, database combined Semantics Bitemporal Track information along two dimensions of time MarkLogic 8 / More Powerful, Easier to Use

24. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 24 JSON Unified indexing and query for today’s web and SOA data  Speed up development with powerful built-in search, transformation, and alerting capabilities designed for JSON  Reduce lost fidelity and functionality from data model translations and brittle ETL  Simplify architecture with data, metadata, and relationships managed consistently and securely together  Ease modern, end-to-end JavaScript development { "_id": 1, "name": { "MarkLogic" }, "supports" : [ { "datatype": "XML", "year": 2003 }, { "datatype": "JSON", "year": 2014 } ] }

25. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 25 Node.js Client API Enterprise NoSQL database for Node.js applications  Focus on application features rather than plumbing with out-of-the-box search, transactions, aggregates, alerting, geospatial, and more  Move faster to production with proven reliability at scale  Maximize performance and flexibility—bringing code to the data  Enable modern end-to-end JavaScript development  Always open source on GitHub Participate. Contribute. Fork it.

26. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 26 Java Client API NoSQL agility in a pure Java interface  Faster development and less custom code with out-of-the-box data management, search, and alerting  Pure Java query builder and conveniences for POJOs, JSON, XML, and binary I/O  Built-in extensibility for moving performance- critical code to the database  Always open source and developed on GitHub Participate. Contribute. Fork it.

27. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 27 Server-side JavaScript Front End Middle Tier Database Layer  Run code near the data for unparalleled power, efficiency  Build applications faster from a growing pool of skills, tools  Reduce risk with proven performance and reliability  Decrease brittle ETL and lost fidelity and functionality from JSON data conversions  Pair with Node.js to ease full-stack JavaScript development + JavaScript runtime inside MarkLogic using Google’s V8

28. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 28 An end-to-end three-tiered application in Java and Node.js Front End Middle Tier Database Layer  Encapsulates best practices and introduces key MarkLogic concepts  Use sample code as a model for building applications more quickly  Modern technology stack shows where MarkLogic fits in your environment Participate. Contribute. Fork it. Samplestack

29. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 29 Semantics Enterprise triple store, document store, database combined  Store and query billions of facts and relationships; infer new facts  Facts and relationships provide context for better search  Flexible data modeling—integrate and link data from different sources  Standards-based for ease of use and integration – RDF, SPARQL, and standard REST interfaces  Even better with Built-in Search and Bitemporal – Triples, documents, and data combined

30. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 30 Bitemporal Timing is everything Valid Time System Time Valid Time – Real-world time, information “as it actually was” EVENT 1 EVENT 3 EVENT 2 System Time – Time it was recorded to the database  Rewind the information “as it actually was” in combination with “as it was recorded” at some point in time  Provides increased insight into your business and mission  Capture evolving schema as the shape of the data changes with changing time, a capability that has prevented relational bitemporal offerings from being widely adopted  Critical for anyone in regulated industries  Even better because of Tiered Storage and Semantics

31. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 31 Management API REST-based API to manage all MarkLogic capabilities  Increase efficiency and agility by automating time- consuming repetitive tasks across production, testing and development  Reduce setup time and admin error by orchestrating multi-step configurations and deployments  Fit more seamlessly into IT environments by using REST interfaces unlike CLI or proprietary APIs  Perform automated testing and monitor performance using market tools that support REST  Even better with Client REST API, Elasticity

32. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 32 Incremental Backup SUNDAY MONDAYTUESDAY WEDNESDAY THURSDAY FRIDAYSATURDAYSUNDAY FULL INCREMENTAL BACKUP (differential)  Store only changes since the previous full or incremental backup  Consume less storage for backup copies  Reduce backup window  Improve availability with multiple daily backups  Work with Log Archiving to enable fine-grained point-in-time recovery Faster backups while using less storage

33. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 33 Flexible Replication Customizable information sharing between systems  Enable content collaboration across numerous systems  Support directly connected or mobile users  Provide data that users need using simple configurable parameters or queries  Ensure data consistency and security with simple workflows  Even better with Bitemporal and Management API

34. © COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. SLIDE: 34 Enhanced HTTP Server  Use a single interface when employing the REST API, custom HTTP, XCC/XDBC to connect to any database  Delivers ease-of-use by not having to create extra ports  Simplifies the out-of-the-box interaction and can improve the performance of client/server  Provides an improved and more efficient developer experience with MarkLogic Simple and fast client-server interactions out-of-the-box

35. APPENDIX

36. MarkLogic / Enterprise NoSQL Database Platform Better answers from today’s data MarkLogic is built to find answers in documents, relationships, and metadata Adaptive to every environment MarkLogic runs well everywhere, while preserving the option to change hardware, data, and scale later Simpler data integration MarkLogic accelerates and simplifies data sharing across silos, cutting down on ETL and making agile development possible Hardened, proven platform MarkLogic has a proven track record of performance under all enterprise conditions Uncompromised data resiliency MarkLogic will keep your data safe and whole—no matter what happens in your application or at your data center POWERFULAGILETRUSTED The intelligent data layer An intelligent data layer powers intelligent applications—and makes them faster and more flexible than any alternative

37. Store and manage data natively as XML documents, a hierarchical self- describing data type that is ideal for a wide variety of applications. Geospatial Support Full-text Search Flexible Indexes Native JSON Store Native XML Store Real-time Alerting Native RDF Triple Store Bitemporal Tiered Storage Fully Transactional Server-side JavaScript Semantic Inference // POWERFUL / Deliver more value, build better apps Store geospatial data such as GML, KML, and GeoRSS and do complex queries on the data or in combination with other data types. Also integrate with ESRI ArcGIS and Google Maps for visualization. Store RDF triples and query them using SPARQL—providing context to your data and better search with a database that can handle a combination of documents, data, and triples. Store and manage data natively as JSON documents, speeding up development and reducing data transformation with a simplified architecture for end-to-end JavaScript development. Create an unlimited number of real- time alerts by email or text using the alerting API and reverse indexes. Whenever a document is loaded that matches a specific query, you’ll know. Run complex distributed transactions across multiple documents and collections with no performance drop- offs at scale. Production applications run tens of thousands of transactions per second for tens of thousands of users. Work with new data that didn’t exist before. For example, if John lives in London, and London is in England, then MarkLogic can infer that “John lives in England” and then add that new fact to your semantic search. Store and manage data in different tiers based on cost and performance trade-offs, and easily migrate between tiers without any ETL, additional software, or expensive infrastructure changes. Live in JavaScript. Run JavaScript near the data for unparalleled power and efficiency with a high performance JavaScript runtime inside MarkLogic using Google’s V8. Built-in, lightning fast search and query capabilities across hundreds of billions of documents. And, full- featured UX with type-ahead suggestions, facets, snippeting, relevance ranking, and language support. Rely on over 30 sophisticated, composable indexes including a universal index, range index, geospatial index, and triple index—all designed so that developers can ask harder questions and get faster responses. Handle historical data along two different timelines, making it possible to rewind the information “as it actually was” in combination with “as it was recorded” at some point in time.

38. Use MarkLogic’s cloud templates to get up and running quickly on AWS or other cloud environments, starting with a three node cluster or a large cluster with over a hundred nodes. REST API SQL Support Multi-OS Support Scalable and Elastic Cloud Ready (AWS) Samplestack Hadoop and HDFS Schema Agnostic XA Transactions Index Across Data Types Ad-hoc Queries MarkLogic Content Pump // AGILE / Prepare for and respond to change Configure and administer MarkLogic with a single REST-based API. This provides more programmatic control than ever before—giving DBAs the power and flexibility necessary to run a modern data center. Make Hadoop better by connecting it to MarkLogic and using it as part of an infrastructure to handle both operational and analytic workloads. Handle petabytes of data without over-provisioning, over-spending, or experiencing downtime, inconsistency, or risk of data loss. Get going fast on MarkLogic with Samplestack, an end-to-end three tiered sample application designed to show developers how to implement a reference architecture using key MarkLogic concepts and sample code. Use multiple indexes in concert across multiple data types—giving you the power to search and query all of your data. MLCP makes it easy to quickly import or export documents and metadata from MarkLogic, or to copy from one database to another using a command-line tool. Run distribute transactions across a cluster using the XA (eXtended Architecture) standard, which ensures ACID properties for global transaction processing. Don’t plan your queries in advance of ingesting your data. MarkLogic is designed for search and discovery so that you can run any query at any-time and get real-time results. Use a relational SQL data model within MarkLogic, connecting to SQL- based tools using the ODBC driver, or execute SQL commands against relational databases using the MLSAM open-source XQuery library. Run MarkLogic on Windows, Linux, Solaris, OS X. MarkLogic runs easily and is easy to setup in your environment, whether in the cloud, virtualized, or on premises. Only use schema when you need it. Ingest all your data as-is, whether structured or unstructured, using the NoSQL document model rather than being forced to use a predefined schema.

39. Use third party authentication from LDAP or Kerberos, making the most secure NoSQL database easier to manage. Monitoring and Management Configuration Management 24/7 Engineering Support Performance at scale LDAP and Kerberos Security Flexible Replication Security Certifications ACID Transactions Customizable Failover Atomic Forests Point-in-time Recovery Customizable Backup // TRUSTED / Enterprise-ready for mission-critical uses Use the Management API for cluster management, process automation, access controls, database cloning, audit trails, and connections to third-party interfaces. Secure your data with government-grade security. MarkLogic has certified, granular security for modern data governance and to handle the increased complexity of today’s cyber threats. Scales easily to handle hundreds of terabytes using shared-nothing architecture in which data partitions are completely independent of each other and can act independently. Enable customizable information sharing between systems, allowing for the easy and secure distribution of portions of data even across disconnected, intermittent, and latent networks. Manage data in collections of documents similar to partitions, called forests, that exist independently and enable scalability and elasticity, rebalancing, efficient operations, and easier data governance. Restore the database quickly with minimal downtime, relying on full and consistent backups, hot configuration changes, and automatic index optimization without shutting down the system. Have confidence that your data is always available, reducing risk and avoiding interruptions with automated local- or shared-disk failover made possible with shared- nothing architecture. Rollback to a specified point in time by replaying journal archives, an additional feature to ensure disaster recovery and easy of management. View and manage the configuration settings for MarkLogic databases, forests, application servers, groups or hosts—and easily propagate changes across the entire cluster. Rely on support from the 24/7, all- engineer support staff to ensure you get answers fast, or just want some friendly tips on saving a few milliseconds on performance. Don’t settle for a BASE-ic database. Use ACID transactions to ensure you don’t run the risk of encountering data corruption, stale reads, and inconsistent data—all of which are unacceptable.