ClickHouse Cost-Efficiency in Action: Analyzing 500 Billion Rows on an Intel NUC
Jan 1, 2020
Cost-efficiency and performance are critical for big data analytics. For this reason a recent blog post from ScyllaDB guys caught our attention. They collected over 500 billion data points and were able to query it with 1B rows/sec query scan performance. The test rig was a beefy and expensive packet.com cluster: 83 n2.xlarge.x86 instances, 28 cores and 384RAM each. This is a nice demo of ScyllaDB cluster management. But looking at the numbers we realized it’s not very impressive as an example of efficient analytics. We can prove that using ClickHouse.
Case Study. AfterWords – Intelligent Customer Engagement
Aug 1, 2018
AfterWords is an intelligent customer engagement and survey system that delivers users transactional history and customer feedback to create actionable data to improve operations, sales and profitability.
In this article, our guest author Oleg Khozyainov shares his experience of using ClickHouse as part of work done for www.surveyafterwords.com
Read MoreClickHouse and ProxySQL queries rewrite
ProxySQL is a popular open source, high performance and protocol-aware proxy server for MySQL and its forks. Since September 2017 ProxySQL supports ClickHouse as a backend, so clients can connect to ClickHouse via MySQL protocol. In practice, this helps MySQL-aware applications to start using ClickHouse as without changes in the client library.
To avoid some limitations to this approach, ProxySQL creator René Cannaò added additional functionality for query rewrite. With his permission, we cross-post his article describing new functionality in our blog.
Read MoreRealtime replication from MySQL to ClickHouse in practice
July 2, 2018
Vladislav Klimenko from Altinity and Valery Panov from Ivinco presented a talk at HighLoad Siberia 2018 conference recently. They described the real problem that Ivinco faced and how it has been solved with migration of analytics from MySQL into ClickHouse using MySQL to ClickHouse replication. A few months ago we introduced clickhouse-mysql tool in our blog, and Ivinco was the first company we know that tried it and used it in production.
Big Data Analysis in Digital Marketing Research
Dec 6, 2017
Christian Hotz-Behofsits, Teaching & Research Associate at Vienna University of Business and Economics, is one of the creators of RClickhouse package for R that we have recently introduced on our blog. In this article he describes data analysis challenges his group is facing and how ClickHouse helps in their research.
