Open Source Database Ecosystem in Peter Zaitsev 3 October 2016

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1 Open Source Database Ecosystem in 2016 Peter Zaitsev 3 October 2016

2 Great things are happening with Open Source Databases It is great Industry and Community to be a part of 2

3 Why? 3

4 Data Continues Exponential Growth Source: IDC, 4

5 It s not humans it s Devices Source: IDC, 5

6 For Decades we Used Proprietary Relational Databases to Manage Structured Data 6

7 It does not work! Too expensive Too Inefficient Too Inflexible 7

8 As Result Top Internet Applications have embraced Open Source Databases long ago Traditional Enterprises are catching up too 8

9 Benefits of Open Source for Business No Software Vendor Lock- In More Flexibility More Compatibility Faster Innovation 9

10 Is not Open Source Free as in Beer? Free for Developer!= Free for Business Total Cost of Ownership reported to be 3-10x less 10

11 So It is not surprise Open Source Databases are gaining momentum! 11

12 Gartner: State of Open Source RDBMS 2015 By %+ of all Newly developed applications will run on Open Source Databases 80% of existing applications are candidates to be migrated to Open Source Database 50% of existing RDBMS instance will be converted to Open Source RDBMS 12

13 Black Duck Open Source Survey 2016 Open Source Database Adoption is second only to Adoption of Open Source Operating Systems 13

14 DB-Engines: Gap Is closing 14

15 New Categories Dominated by Open Source 15

16 Fast Change of Momentum 16

17 Truly International Innovation All Top Open Source Database Systems have Globally Distributed Development Teams 17

18 Open Source Innovation at Percona Live Keynotes from Open Source Innovators MySQL, MariaDB, Facebook In-Depth Technical Presentations MongoDB, Redis, RocksDB, PostgreSQL 18

19 Trying Something New Invited Developers and Ecosystem Members to talk about technologies which inspire them 19

20 PostgreSQL The World s Most Advanced Open Source Database

21 What does that mean for people who work with PostgreSQL It supports transactions in a proper way It is flexible people who never work with PostgreSQL It is old-school and difficult to use You need to be a PostgreSQL hacker to use it 21

22 PostgreSQL Evolution Inspired by 22

23 2016 is a year of PostgreSQL 9.6 release PostgreSQL 9.5 release is production ready Both are very impressive in regard of performance and features Postgres is in all kinds of industries PostgreSQL community activity grows More user-oriented conferences and meetups Increased enterprise adoption gives a lot of feedback from users 23

24 MongoDB Leading Open Source Document Oriented Database

25 MongoDB Ecosystem 25

26 RethinkDB Open Source Database for Real-Time Web

27 What is RethinkDB? Open-source database for building realtime web applications. NoSQL database that stores schemaless JSON documents. Distributed database that is easy to scale. High availability database with automatic failover and robust fault tolerance. Supports both pull and push models Changefeeds. Map-reduce. Geospatial queries and GeoJSON. The second most popular database on GitHub. 27

28 RethinkDB is good for Collaborative web and mobile apps. Streaming analytics apps. Multiplayer games. Realtime marketplaces. Connected devices. 28

29 Current State Initial release: July 2009 Open-sourced: November 2012 RethinkDB 2.3.x Users and permissions. TLS encrypted connections. 10x better performance for distributed joins. Windows beta. Latest release: Improved the efficiency of the on-disk garbage collector to reduce the risk of excessive file growth. Improved the latency of read queries under heavy write loads. Improved the Raft election timeout logic to avoid infinite Raft election loops. 29

30 Who uses RethinkDB in production? NASA Jive Narrative Cmune SocialRadar Mediafly Wise.io Platzi 30

31 Agile web-development with RethinkDB tomorrow at 12:20pm 31

32 ClickHouse High-Performance Distributed DBMS for Analytics (Blazing Fast Open Source Analytics Database for Petabytes of Data)

33 Faster that you can imagine Column-oriented 100x faster than typical RDBMS Distributed queries Massively parallel SQL 33

34 Linearly scalable Features Main Yandex.Metrica Cluster Petabytes of data in one cluster Multi-Datacenter Awesome data compression High-availability 3 Pb 6 Datacenters 422 Nodes 17.2 trillions of rows ( ) 20 billions rows inserted daily in realtime 34

35 Production proven More than 20 projects inside Yandex 4+ Years in production Highly reliable No single point of failure No major downtime events or data loss for years 35

36 Opensource Opensourced at June 2016 License: Apache 2.0 Tens of companies already using ClickHouse Ready to go!

37 Tarantool Open Source NoSQL Database running in LUA application server

38 Tarantool: battering ram tool Open source, open government simplified BSD license first release October 2010 In-memory database and application server ACID transactions 38

39 Why another database? Database visionary Jim Gray: It s time for a complete rewrite lock-free transaction processing as in Gray et al paper circa transactions per second on a single core a database for the most volatile/hot data 39

40 An application server Get your data in RAM. Get compute close to data. Enjoy the performance. OpenResty of the database world tons of modules: JSON, http, YaML, PostgreSQL, MySQL, GIS, MQTT, ect 40

41 Database features document data model compression, lowest memory footprint transactions, secondary keys log streaming replication online backup 41

42 The community 42

43 ProxySQL High Performance Open Source Proxy for MySQL and MariaDB

44 Also. We Have Announcement to Make

45 RocksDB is Fantastic! Source: 45

46 MyRocks is coming to Percona Server 46

47 Thank You Sponsors!! FOUNDATION 47

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