Informix Technology Strategy Leveraging IBM Strengths for Competitive Advantage Paul Taylor Distinguished Engineer IBM Data Management Architecture and Strategy Paul Taylor Distinguished Engineer IBM Data Management Architecture and Strategy

Agenda  Where have we been and where are we going  Technology Vision for the broader IBM  How this gets delivered through IBM products What technology is IBM investing in, Why and where does Informix play?

Informix Technology Evolution C-ISAM SPL SQL-92 ACID Distributed Self-Storage PDQ Partitioning Hash-joins UDR UDF Datablades Java,.Net Multi-tier Mixed workload Record Management SQL Transactions BI OR-DBMS E-Business SE Online IDS7 IDS9 C-ISAM Arrowhead XPS Redbrick Blobs Self-Threading Replication Clusters

Informix Arrowhead Dynamic Scalable Architecture  SMP Scalable OLTP  Enterprise Replcn. Universal Server Architecture  Web content  UDTs, UDRs IDS & Foundation  Web content  Java XPS  Cluster computing for high performance  HA J2EE Application Server  Distributed Java Components  Multi-tier application scalability Arrowhead  Multi-tier application scaling with distributed components  OLTP, Web content & data scaling  HA and reliability built in  Single management system  Integrated development tools Today Yesterday RedBrick  Data Warehouse functionality  Ease of use Tomorrow  An e-Business platform  Performance for the web without limits

Informix Arrowhead Dynamic Scalable Architecture  SMP Scalable OLTP  Enterprise Replcn. Universal Server Architecture  Web content  UDTs, UDRs IDS & Foundation  Web content  Java XPS  Cluster computing for high performance  HA J2EE Application Server  Distributed Java Components  Multi-tier application scalability Arrowhead  Multi-tier application scaling with distributed components  OLTP, Web content & data scaling  HA and reliability built in  Single management system  Integrated development tools Today Yesterday RedBrick  Data Warehouse functionality  Ease of use Tomorrow  An e-Business platform  Performance for the web without limits "Informix Wish List"

A different angle on the same Arrowhead objectives.. e-business solutions Information Integration Database Cross Industry Industry Specific Geo Specific/Custom DB2 IDS, XPS IMS Web & Portal Applications EnterpriseManagement ISV Partnerships DatabaseTools Information Infrastructure AnalysisWarehousing Content Mgmt. Retail, Telco, Law Enforcement, Finance,etc SAP, Siebel, PeopleSoft, Baan, etc 23,000+ partners Service Providers WebSphere MQSeries Domino AD Tools Partner Tools Tivoli Control Center IBM Tools Partner Tools DB2 Warehouse Mgr. DB2 OLAP IBM Red Brick DB2 IM IBM CM IBM EIP WindowsOS/2AIXHP-UXSolarisOS/400OS/390LinuxNUMA-QzOS Federation, Replication, ETML IBM Strategy

Any Partner, Any Developer  ISVs, OEM  Web Services  Java /.NET / XML / SQL Any Partner, Any Developer  ISVs, OEM  Web Services  Java /.NET / XML / SQL Any Application  OLTP, BI/DW, Web  Integrated Workloads  Real-time Analysis Any Application  OLTP, BI/DW, Web  Integrated Workloads  Real-time Analysis Any Information, Any Place  Structured … Unstructured  Local, Distributed, Legacy  Pervasive  Transparent Any Information, Any Place  Structured … Unstructured  Local, Distributed, Legacy  Pervasive  Transparent Robust Foundation  Fast & Scalable  Available  Secure  Self Managing Robust Foundation  Fast & Scalable  Available  Secure  Self Managing Low Cost of Ownership  Performance / Scale  Cross Platform, Open Stds.  Skills Productivity  Affordable Pricing Low Cost of Ownership  Performance / Scale  Cross Platform, Open Stds.  Skills Productivity  Affordable Pricing IBM Data Management Vision … e-business leadership A broader definition of Informix Arrowhead Vision

40% of Company I/T Budgets are Spent on Integration......Implies That Customers Will Spend $900 B On Integration In On Integration In Technology Realities…

Application Integration Layer System Integration Layer Customer & PartnerApplications MiddlewareIntegrationPlatform Multi-Platform IBM eServersNon-IBM Servers WebSphere Tivoli Lotus DB2 Fin.Telco.RetailDist.Mfg. Gov ’ t. +++  Scalable  Modular  Flexible  Stds. Based  Reliable Transaction Mgmt. CollaborationSystems Mgmt. Data Mgmt. CRM ERP PLM SCM IBM’s Software Strategy Middleware Integrates e-business Applications

Federation: Integrate ALL data DB2 has heterogeneous data federation technology for structured and unstructured data

DB2 WebSphere Application Server Privatel UDDI Public UDDIs Employee Table Dept Table Stored Procedure "A" Stored Procedure "B" XMLExtender XMLExtender Generic SP Invoker Generic Query Invoker SOAP Router Virtual Web Data Service Providers SOAP Requests/ Replies SOAP Clients DB2 Clients Web Services

XML XML capabilities inside the engine Performance, performance, performance SERVER CLIENT Data management client Customer client application SQL(X) XQuery DB2 Server XML Interface XML Storage Relational Storage Relational

Replication and caching Caching –Client side, used with embedding Distribution and Aggregration –Geography issues, availability Fully integrated –Performance –Feature rich

Summary of info-integration technology initiatives Convergence of 4 fundamental problems 1.Sharing Data in a distributed heterogonous environment Technical solution: Federated Database technology 2.Application protocols in a distributed application environment Technical Solution: Webservices 3.Data protocols Technical Solution: XML 4.Performance and availability of data access Technical Solution: Data Replication Each technical solution has merit in it’s own right, but the combination is really powerful

10-100GB 100s GB - 1 TB GBs 100s MB 100s KB s TB 100s TB 1s TB 10s GB 1s GB X 100X 1,000X 10,000X Common Database Sizes Source: IBM Almaden Research The world produces 250MB of information every year for every man, woman and child on earth. 85% of digitized information unstructured. Transactions Warehouses Marts Mobile Pervasive The Data Deluge…

Self- Configuring Self- Configuring Self- Optimizing Self- Optimizing Self- Protecting Self- Protecting Self- Healing Self- Healing Anticipate, detect, identify, and protect against attacks from anywhere. Discovery, diagnose, and react to disruptions. Adapt automatically to the changing environment. Less Skill, Less Resource, Better System Utilization Autonomic Computing…

Self Managing Databases Simplification and automation –Space management, backup/restore, data statistics –Leverage of underlying NAS/SAN technology trends Automation Virtualization Performance Translate policy into implementation –Log rates + Recovery Rates => backup frequency –Avoids unnecessary backups, ensures backups to maintain RTO. Accounts for dynamic and adapting workloads. –Almost possible today Stats needed on log rates (RTS on 390) Stats needed on recovery rates Tooling to automate/recommend (CC integration)

Any Partner, Any Developer  ISVs, OEM  Web Services  Java /.NET / XML / SQL  4GL Connectivity  Informix-style partnering Any Partner, Any Developer  ISVs, OEM  Web Services  Java /.NET / XML / SQL  4GL Connectivity  Informix-style partnering Any Application  OLTP, BI/DW, Web  Integrated Workloads  Real-time Analysis  BI Functions  Datablades Any Application  OLTP, BI/DW, Web  Integrated Workloads  Real-time Analysis  BI Functions  Datablades Any Information, Any Place  Structured … Unstructured  Local, Distributed, Legacy  Pervasive  Transparent  OR-DBMS Any Information, Any Place  Structured … Unstructured  Local, Distributed, Legacy  Pervasive  Transparent  OR-DBMS Robust Foundation  Fast & Scalable  Available  Secure  Self Managing  High Performance genes  Availability features Robust Foundation  Fast & Scalable  Available  Secure  Self Managing  High Performance genes  Availability features Low Cost of Ownership  Performance / Scale  Cross Platform, Open Stds.  Skills Productivity  Affordable Pricing  Rich monitoring philosophy  Turn-key disaster recovery (HDR) Low Cost of Ownership  Performance / Scale  Cross Platform, Open Stds.  Skills Productivity  Affordable Pricing  Rich monitoring philosophy  Turn-key disaster recovery (HDR) IBM Data Management Vision … Informix accelerates it

Informix Vision – IBM Acceleration Information Integration –Web Services –XML –Boatload of Websphere middleware –I-Star (kinda) for XPS Data Deluge –Backport of Informix Arrowhead technology into IDS Buffer manager Large Chunks HA Fast Restart Other stuff… –Breathing life back into HDR SMART & Tooling –Automation of backup, runstats? –Admin tools? Misc –Unicode Libraries

Informix technology Strategy: Leverage as much of the entire IBM Technical Team as possible –Research –Storage & Server group –DB2 Tactical: Steal, beg, borrow as much as we can –Across IDS and XPS –Across DB2 Develop new technology as a combined team –Architecture board insures consistency –Research insures proper investigation Some things can’t easily be leveraged so…. –Make it as easy as possible to transition to DB2 when and if desired Application portability Operational consistency

Conclusion Data Management Architecture is very healthy at IBM –Informix technologists very engaged –Strong Leverage of technology, skills, experiences –More than just the DBMS Server Single overall strategy, minimizing walls between individual products –Leverage points already being realized in individual products, much more to come Informix products will leverage IBM technology –Application Development (J2EE, MQ, etc) –Operational consistency (SMART, Management and tooling frameworks) Informix products continue developing features for it’s customer base