G2

Sourav D.

Jr. Executive-IT

Information Technology and Services

Enterprise (> 1000 emp.)

10/31/2026

"Automatic Indexing Delivers Near-Instant Analytics on Huge Datasets"

4.5/5

What do you like best about MonetDB?

Its automatic indexing ("database cracking") is a lifesaver. It speeds up analytical SQL queries on huge datasets on the fly without making you manually tune tables or fiddle with complex index setups. You just load the data, query it, and get near-instant aggregations. Review collected by and hosted on G2.com.

What do you dislike about MonetDB?

The documentation is sparse and the community is pretty quiet, so troubleshooting weird edge-case errors feels lonely. It's also strictly built for analytics—trying to run frequent row-by-row updates or transactional workloads quickly drags performance down to a crawl. Review collected by and hosted on G2.com.

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

MonetDB solves the bottleneck of running complex analytical aggregations on massive tables without eating up tons of memory. Traditional relational databases would choke or force us into endless hours of manual index maintenance. With MonetDB’s columnar design, our analytical queries run dramatically faster with zero tuning overhead. It gives our team fast, reliable data insights straight from SQL without requiring an expensive distributed cluster. Review collected by and hosted on G2.com.