In the same spirit as ClickBench, one of the standard benchmarks for analytical databases, we are releasing JSONBench (<a href="https://jsonbench.com/" rel="nofollow">https://jsonbench.com/</a>), a benchmark for JSON-based analytics in databases. Many databases, now natively support JSON data types to store and query unstructured data. You can use JSONBench to evaluate how these JSON types perform across databases. We are starting with 5 databases: ClickHouse, MongoDB, Elasticsearch, DuckDB, and PostgreSQL. Please feel free to contribute and add more databases.<p>Here is the official GitHub repo: <a href="https://github.com/ClickHouse/JSONBench/">https://github.com/ClickHouse/JSONBench/</a> and the detailed blog on JSONBench: <a href="https://clickhouse.com/blog/json-bench-clickhouse-vs-mongodb-elasticsearch-duckdb-postgresql" rel="nofollow">https://clickhouse.com/blog/json-bench-clickhouse-vs-mongodb...</a>.<p>Looking forward to hear your feedback on this project and how we can improve it!<p>Thank you,
Sai Sriampur,
ClickHouse
Impressive, love it, many thanks!<p>CedrarDB [0] (commercialization of Umbra [1] research DB) would be an interesting contender. The group creating Umbra researches on JSON representations in column stores, see [2].<p>[0] <a href="https://cedardb.com/" rel="nofollow">https://cedardb.com/</a> (commerciUmbra)
[1] <a href="https://umbra-db.com/" rel="nofollow">https://umbra-db.com/</a>
[2] <a href="https://db.in.tum.de/~durner/papers/json-tiles-sigmod21.pdf" rel="nofollow">https://db.in.tum.de/~durner/papers/json-tiles-sigmod21.pdf</a>