ClickHouse Analytical DBMS. Introduction and usage, by Alexander Zaitsev
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Presentation from ClickHouse Meetup at Plug and Play Tech Center April 23, 2018.
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ClickHouse Analytical DBMS. Introduction and usage, by Alexander Zaitsev
- 2. Agenda: 18:00 ClickHouse Analytical DBMS. Introduction and usage (Alexander Zaitsev, Altinity) 18:30 ClickHouse New Features Overview and Development Roadmap (Alexey Milovidov, Yandex) 18:45 ClickHouse in Plug and Play Cloud (Som Sikdar, Kodiak Data) 20:00 Lightning talks, ClickHouse demo, Q&A
- 3. ClickHouse Analytical DBMS Introduction and Usage Alexander Zaitsev, Altinity Plug And Play Tech Center, Sunnyvale, 23 Apr 2018
- 5. ClickHouse DBMS is •Column Store •MPP •SQL •Open Source
- 6. Why Yet Another DBMS?
- 9. How Fast?
- 10. :) select count(*) from dw.T SELECT count(*) FROM dw.T ┌───────count()─┐ │ 1185063669477 │ └───────────────┘ 1 rows in set. Elapsed: 4.361 sec. Processed 1.19 trillion rows, 1.19 TB (271.73 billion rows/s., 271.73 GB/s.)
- 11. Query 1 Query 2 Query 3 Query 4 Setup 0.034 0.061 0.178 0.498 MapD & 2-node p2.8xlarge cluster 0.051 0.146 0.047 0.794 kdb+/q & 4 Intel Xeon Phi 7210 CPUs 0.762 2.472 4.131 6.041 BrytlytDB 1.0 & 2-node p2.16xlarge cluster 1.034 3.058 5.354 12.748 ClickHouse, Intel Core i5 4670K 1.56 1.25 2.25 2.97 Redshift, 6-node ds2.8xlarge cluster 2 2 1 3 BigQuery 6.41 6.19 6.09 6.63 Amazon Athena 8.1 18.18 n/a n/a Elasticsearch (heavily tuned) 14.389 32.148 33.448 67.312 Vertica, Intel Core i5 4670K 22 25 27 65 Spark 2.3.0 & single i3.8xlarge w/ HDFS 35 39 64 81 Presto, 5-node m3.xlarge cluster w/ HDFS 152 175 235 368 PostgreSQL 9.5 & cstore_fdw “1.1 Billion Taxi Rides Benchmarks” http://tech.marksblogg.com/benchmarks.html
- 12. Query 1 Query 2 Query 3 Query 4 Setup 0.034 0.061 0.178 0.498 MapD & 2-node p2.8xlarge cluster 0.051 0.146 0.047 0.794 kdb+/q & 4 Intel Xeon Phi 7210 CPUs - 2.415 3.599 4.962 ClickHouse at Plug And Play demo server 0.762 2.472 4.131 6.041 BrytlytDB 1.0 & 2-node p2.16xlarge cluster 1.034 3.058 5.354 12.748 ClickHouse, Intel Core i5 4670K 1.56 1.25 2.25 2.97 Redshift, 6-node ds2.8xlarge cluster 2 2 1 3 BigQuery 6.41 6.19 6.09 6.63 Amazon Athena 8.1 18.18 n/a n/a Elasticsearch (heavily tuned) 14.389 32.148 33.448 67.312 Vertica, Intel Core i5 4670K 22 25 27 65 Spark 2.3.0 & single i3.8xlarge w/ HDFS 35 39 64 81 Presto, 5-node m3.xlarge cluster w/ HDFS 152 175 235 368 PostgreSQL 9.5 & cstore_fdw “1.1 Billion Taxi Rides Benchmarks” http://tech.marksblogg.com/benchmarks.html
- 13. ClickHouse runs at • Bare metal (any Linux) • Amazon • Azure • Kubernets, VM Ware etc. • Kodiak Data cloud
- 15. What Is It For?
- 16. What Is It For? • Fast analytical queries • Low latent data ingestion/aggregation • Distributed computations • Fault-tolerant data warehousing All scaled from 1 to 1000s servers
- 17. Who Is It For?
- 18. Who Is It For? • Analysts • who need analyze huge amounts of data • Startups • build high performance analytics with low investment • Companies • having performance problems with their analytics • paying too much for license or infrastructure
- 19. Successful Production Deploymnts • DNS queries analytics (CloudFlare) • AdTech (multiple companies worldwide) • Operational logs analytics (multiple companies worldwide) • Stock correlation analytics, investor tools (Canadian company) • Hotel booking analytics SaaS (Spanish company) • Security audit (Great Britain, USA) • Fintech SaaS (France) • Mobile App and Web analytics (multiple companies worldwide)
- 20. Evaluating/implementing: • Telecom companies • Satellite data processing • Search ranking analytics • Blockchain platform/ICO analysis • Manufactoring process control
- 21. Happy Transitions! • From MySQL/InfoBright/PostreSQL/Sp ark to ClickHouse • From Vertica/RedShift to ClickHouse SPEED! COST! VENDOR UN-LOCKING! 23.04 18:30 CLICKHOUSE GATE 2 boarding 23.04 19:30 CLICKHOUSE GATE 3 23.04 20:00 CLICKHOUSE GATE 4
- 22. ClickHouse Timeline • Developed in Yandex in 2012-2015 • Open Sourced June 2016 • First non-Yandex deployments Q4 2016 • 100+ deployments by Q4 2017 • 15+ meetups, 10+ conferences in 2017-Q12018
- 23. ClickHouse Today • Mature Analytic DBMS. Proven by many • 2- years in Open Source • Transparent development roadmap • 20+ community contributors • Emerging eco-system (tools, drivers, integrations) • Support and Consulting from Altinity
- 24. LONDON, April 23, 2018 /PRNewswire/ -- Altinity, a leading service provider for ClickHouse, today announced explosive 10x quarter-over-quarter revenue growth in Q1 2018 for its ClickHouse services. The spike in demand for ClickHouse Support mirrors the trend of companies increasingly relying on ClickHouse as a solution for their data analytics and data warehousing needs. https://www.prnewswire.com/news-releases/clickhouse-experiencing- explosive-growth-in-eu-us-and-asia-in-q1-2018-300633698.html
- 25. Q&A Contact me: alexander.zaitsev@lifestreet.com alz@altinity.com skype: alex.zaitsev telegram: @alexanderzaitsev Join SF Bay Area Meetup group: http://meetup.com/San-Francisco-Bay-Area-ClickHouse-Meetup