G2

Sai L.

Associate Software Engineer

Small-Business (50 or fewer emp.)

10/8/2026

"Blazing-Fast Real-Time Analytics on Massive Data with ClickHouse"

5/5

What do you like best about ClickHouse?

What I like most about ClickHouse is its ability to query massive volumes of data with extremely low latency, making it ideal for real-time analytics and observability. Its column-oriented storage, efficient compression, and vectorized query execution help deliver fast analytical queries while keeping storage and compute costs relatively low. Review collected by and hosted on G2.com.

What do you dislike about ClickHouse?

What I dislike about ClickHouse is that complex updates and deletes are less straightforward and efficient than in traditional OLTP databases like PostgreSQL. Also, query optimization and distributed cluster management can become challenging as data volume and workload complexity grow. Review collected by and hosted on G2.com.

What problems is ClickHouse solving and how is that benefiting you?

ClickHouse solves the challenge of analyzing massive volumes of data quickly, enabling real-time analytics, monitoring, and faster insights without impacting transactional databases. It helps us run complex analytical queries efficiently, reduce query latency, and scale cost-effectively as data grows. Review collected by and hosted on G2.com.