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questdb
Data Warehouses & Analytics
An open‑source, column‑oriented time‑series database designed for ultra‑fast ingestion and low‑latency SQL queries
Java
·
Latest 9.4.1 · 18h ago
Security brief →
Features
-
Blazingly fast ingestion (single events to millions/sec)
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Low‑latency, time‑series‑extended SQL (ASOF JOIN, WINDOW JOIN, etc.)
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Multi‑tier storage: WAL → native columnar → Parquet on object storage
Review required
9.4.1
Breaking risk
·
Breaking upgrade
SQL fuzzer + functions + MVs + Parquet + QWP
No immediate action
9.4.0
Breaking risk
·
Drop posting index before downgrade
9.3.5
Breaking risk
·
Breaking changes
- SAMPLE BY timezone bucket alignment: Sub-day buckets now uniformly spaced in UTC during DST transitions; FROM/TO boundaries interpreted as local time
Notable features
- Lateral joins with subquery correlation
- SQL-standard UNNEST for array expansion
- Statistical window functions: stddev_pop/samp, var_pop/samp, covar_pop/samp, corr
9.3.4
Breaking risk
·
Breaking changes
- Parquet Varchar now uses RLE Dictionary encoding instead of Delta Length Byte Array
- Constant expression folding: Infinity/-Infinity in expressions collapse to NULL
Notable features
- Dynamic window ranges in WINDOW JOIN
- Parquet row group pruning with bloom filters
- Array functions: array_sort, array_reverse, array_elem_min/max/avg/sum
9.3.3
New feature
·
Security fixes
- Fixed server crash from HTTP request with overflowing chunk size
Notable features
- HORIZON JOIN for markout analysis with offset-based aggregations
- twap() time-weighted average price aggregate
- WINDOW definition clause for reusable specifications
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Java
·
Rust
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C++
Alternative to
InfluxDB
Kdb+
TimescaleDB
MongoDB
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