Comparison of MySQL, Columnstore, Clickhouse with respect to time series queries.
sukan May 27, 2019
Sukan is Database Team Lead at Mafiree with over a decade of experience in database systems, architecture, and performance optimization. He specializes in MySQL, MongoDB, TiDB, and ClickHouse, developing architectural improvements that make data platforms faster, more efficient, and cost-effective. Sukan writes about practical database engineering topics, real-world performance tuning, data replication, and high-scale system design, drawing from extensive hands-on experience solving complex technical challenges.
Learn how materialized views and their refreshable counterparts simplify complex analytics by precomputing results, boosting query performance, and enabling near real-time decision-making.
Unlock the full potential of ClickHouse with these must-know functions. From data transformation to advanced analytics, elevate your database skills today!
Experience the future of analytics with ClickHouse! Its powerful columnar storage and vectorized execution allow for lightning-fast data processing, making it ideal for real-time insights.
Discover how effective data archival can slash your infrastructure costs by 50%! Learn how we helped one client streamline their database management and improve performance.