Evolution of Postgres

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1 Evolution of Postgres Sean Doherty, SVP Sales & Business Development 1

2 Strategic IT Budget Problem UP TO 35 % of software budgets are spent on Database Management Systems: EDB reduces your DBMS costs by 80% or more enabling you to invest in emerging technologies DBMS Maintenance and Fees BIG DATA CLOUD COMPUTING 2 2

3 It s More Than Just Cost Savings Lower Cost Total Cost of Acquisition and Ownership Ease of Use Set up and managing Flexibility Integration No lock-in Community and Technology Roadmap Product evolution and organization Enterprise-class Support and Services Who s going to help you? 3

4 Optimizing with Open Source 2013 EDB All rights reserved

5 Open Source Use Evolving Many companies have adopted OSS for other layers of their software stacks. The rewards for database are even greater. Largest Savings Potential Savings TODAY OPERATING SYSTEM MIDDLEWARE Time DATABASE 5

6 Postgres Growth DB-Engines Ranking, December 2013 We congratulate MongoDB, PostgreSQL and Cassandra for their extraordinary achievements in 2013.The fact that we have three open source tools and two NoSQL systems amongst the winners may be an indication of what 2014 has in store for us. 6

7 Postgres: A Proven Track Record Most mature open source DBMS technology Enterprise-class features (built like Oracle, DB2, SQL Server) Strong, independent community driving rapid innovation Fully ACID Compliant MVCC Point in Time Recovery (PITR) Data and Index Partitioning Bitmap Indexes ANSI Constraints Triggers & Stored Functions Views & Data Types Nested Transactions Online Backup Online Reorganization Foreign Keys Streaming Replication Multi-Core Support JSON support 7 7

8 Evolution and Growth of Postgres Object Relational Database features from the 90 s XML storage capabilities at the turn of the century NoSQL & Non-standard SQL features: JSON Nondurable storage Hstore PLV8 Full Text Indexing Foreign Data Wrappers PPAS Connector for Hadoop Oracle database compatibility 8

9 Market Forces Influence Direction New Workloads/Platforms (Big Data & Cloud) Easy to Use/Deploy High-end Enterprise Requirements PostgreSQL is growing from the middle out 9

10 Postgres Future New Workloads/Platforms (Big Data & Cloud) Liasons with other communities FDW for common No-SQL DBs Continues to evolve new data types: JSON, JSONB, XML, Hstore Easy to use/deploy High-end Enterprise Requirements Diagnosing Problems Configuring for success Still easier installs Tighter integration with frameworks Integration with other data stores Very simple in the cloud Vertical Scale (parallel query) Horizontal Scale Performance Diagnostics Incremental Backup Integration with other data stores Zero down time upgrades 10

11 Future Data & The Edge Cases Volume Amount of data Velocity Transactions + Users Postgres Meets Your New Data Challenges Variety Types of data 11

12 Product road-map Enterprise-class features & tools Services & training Control 24/7 support POSTGRES innovation Get The Best Of Both Worlds Indemnification ENTERPRISE reliability Advanced features Low cost No vendor lock-in Fast development cycles Thousands of developers 12

13 Sean Doherty m 13

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