chDB
Ranked 5 of 5 analytical databases by recommenders
Pandas-compatible engine built on ClickHouse that people use for fast analytics on large data and files.
Pandas-compatible engine built on ClickHouse that people use for fast analytics on large data and files.
6 people gave an opinion
- recommend it
- 6
- criticize it
- 0
- approval share
- 100%
Recommended in 6 of 13 months
- November 2025: not recommended
- December 2025: not recommended
- January 2026: recommended
- February 2026: recommended
- March 2026: recommended
- April 2026: not recommended
- May 2026: not recommended
- June 2026: recommended
- July 2026: not recommended
- August 2026: recommended
- September 2026: recommended
- October 2026: not recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 6 people recommend itNeeds 10 or more, not met.
- Nobody criticizes itNeeds 2 to 1 or better, met.
- Recommended in 6 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Pandas-compatible API with fast ClickHouse performance
“exactly how I envisioned a faster pandas could be without sacrificing its ergonomics”
Comment from 13 Feb 2026 in “Apache Arrow is 10 years old” “It support 100% pandas compatible with super OLAP power based on Clickhouse.”
Comment from 11 Jun 2026 in “Ask HN: Pandas to Polars migration, from 200s timeouts to under 4s. Anyone else?” “chdb's DatStore is a pretty neat pandas replacement too”
Comment from 18 Aug 2026 in “Python Polars Cheatsheet (based on our O'Reilly book)” - Comment from 12 Sep 2026 in “Pandas Should Go Extinct”
Fast S3 and JSON querying
“I'd just use clickhouse-local / chdb / duckdb to query json files”
Comment from 27 Mar 2026 in “A Faster Alternative to Jq” “even chdb inmemory magic has better S3 consumer than Redshift”
Comment from 19 Jan 2026 in “Article by article, how Big Tech shaped the EU's roll-back of digital rights”
What people warn about
Each mark is one comment
Lacks proper Windows support
“I'd love to see chDB to get proper windows support”
Comment from 3 Sep 2026 in “Pre-Release of Polars 2.0”
Other analytical databases people recommend
The four most recommended other analytical databases, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| DuckDB | 390 | 53 | 88% | 13 | 1 yr9 owners | Approved |
| ClickHouse | 124 | 32 | 79% | 12 | 5 yrs9 owners | Approved |
| Trino | 9 | 3 | 75% | 9 | — | — |
| Exasol | 8 | 1 | 89% | 3 | 10 yrs3 owners | — |
| chDBThis page | 6 | 0 | 100% | 6 | — | — |
What people said
9 of the 10 comments that mention it, newest first. Each links to the original comment.
“Pandas API with chdb performance.”
“I'd love to see chDB to get proper windows support”
“chdb's DatStore is a pretty neat pandas replacement too”
“The python version works very well!”
“It support 100% pandas compatible with super OLAP power based on Clickhouse.”
“I'd just use clickhouse-local / chdb / duckdb to query json files”
“exactly how I envisioned a faster pandas could be without sacrificing its ergonomics”
“even chdb inmemory magic has better S3 consumer than Redshift”
“Clickhouse chDB is excellent, much less buggy than DuckDB”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.