May 29, 2019
 Percona Live Open Source Database Conference 2019
  Alexander Rubin

Running an analytical (OLAP) workload on top of MySQL can be slow and painful. A specifically designed storage format ("Column Store") can significantly improve analytical queries' performance. There are a number of opensource column store databases around. In this talk, I will focus on two of them which can support MySQL protocol: MariaDB ColumnStore and ClickHouse.

I will show some realtime benchmarks and use cases, and demonstrate how MariaDB ColumnStore and ClickHouse can be used for typical OLAP queries. I will also do a quick demo.



About the Author

Alexander Rubin

Alexander joined Percona in 2013. Alexander worked with MySQL since 2000 as DBA and Application Developer. Before joining Percona he was doing MySQL consulting as a principal consultant for over 7 years (started with MySQL AB in 2006, then Sun Microsystems and then Oracle). He helped many customers design large, scalable and highly available MySQL systems and optimize MySQL performance. Alexander also helped customers design Big Data stores with Apache Hadoop and related technologies.