Choosing the Right Open Source Database
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This document discusses choosing the right open source database. It begins with an introduction to Percona and open source databases. Popular database categories like relational, NoSQL, and NewSQL are covered. Key factors to consider include the application's data model and operations, scaling needs, and long-term support. The document encourages limiting the number of databases and choosing proven, popular options suited to the application's specific requirements and constraints.
Choosing the Right Open Source Database
- 1. © 2018 Percona. 1 Peter Zaitsev, CEO Choosing Right Open Source Database April 17th, 2018 Open Source 101 Columbia,SC
- 2. © 2018 Percona. 2 About Percona Solutions for your success with MySQL,MariaDB and MongoDB Support, Managed Services, Consulting, Training, Software Our Software is 100% Free and Open Source Support Broad Ecosystem – MySQL, MariaDB, Amazon RDS, Google CloudSQL In Business for 11 years More than 3000 customers, including top Internet companies and enterprises
- 3. © 2018 Percona. 3 Open Source Databases You do not need convincing to chose Open Source Database ?
- 4. © 2018 Percona. 4 DB-Engines Ranking
- 5. © 2018 Percona. 5 Open Source vs Commercial
- 6. © 2018 Percona. 6 Stack Overflow Developers Survey Source: https://insights.stackoverflow.com/survey/2018/
- 7. © 2018 Percona. 7 Choose Database or Databases ? There is no perfect database for every use case Engineering Tradeoffs Ensure It Large Applications often built using Multiple Databases “Polyglot Persistence”
- 8. © 2018 Percona. 8 Things to Consider Majority of applications are not Google or Facebook Majority of companies does not have their Team and Resources Their approaches might not be Fit for You
- 9. © 2018 Percona. 9 Limit yourself Start with one Database Technology Add more technologies when Absolutely Essential
- 10. © 2018 Percona. 10 There is
- 11. © 2018 Percona. 11 Boring is Good Boring = Proven Proven = Less Problems What is Good for you ?
- 12. © 2018 Percona. 12 So ? How Do I chose small number of boring but popular Open Source Databases to build my application in non-Facebook Way ?
- 13. © 2018 Percona. 13 Buzz Words Relational (SQL) No-SQL NewSQL Big Data Multi- Model
- 14. © 2018 Percona. 14 Popular NoSQL Categories • RedisKey Value Store • MongoDBDocument Store • CassandraWide Column Store • ElasticSearch Engine • Neo4jGraph • InfluxDBTime Series
- 15. © 2018 Percona. 15 Cross-Polynation MySQL, PostgreSQL add Document Storage Support Many databases provide SQL or SQL- like language support
- 16. © 2018 Percona. 16 Relational Databases
- 17. © 2018 Percona. 17 Relational: SQL
- 18. © 2018 Percona. 18 Relational Variants • Good for reading few data points • Easy to modify data • Conventional “Web” Applications Row Store • Good for mass data analyses • Data best modified in bulks • Reporting/Analytics Column Store
- 19. © 2018 Percona. 19 Document Data Model Example Source: https://www.tutorialspoint.com/mongodb/mongodb_insert_document.htm
- 20. © 2018 Percona. 20 Other Questions “Disk” vs “Memory” Single Node vs Distributed
- 21. © 2018 Percona. 21 Q1: Application Data Model What Database your application Data Model and Operations Bests maps to ?
- 22. © 2018 Percona. 22 Not too Obvious Things to Consider Application Life Cycle and Development Process
- 23. © 2018 Percona. 23 Q2: Scale
- 24. © 2018 Percona. 24 Understanding Scaling Any Technology Scales, Just with different efficiency and amount of pain
- 25. © 2018 Percona. 25 Q3: It is not just about development Technology Long Term Viability Availability of Commercial Support Corporate Policies Compliance (Security, Auditing etc)
- 26. © 2018 Percona. 26 Use code 10ATTENDPL18 for 10% discount!
- 27. © 2018 Percona. 27 Thank You!