questdb/questdb
QuestDB is a high performance, open-source, time-series database observed · 2026-10-13
Health v2 · maintenance only
97/100
- Activity 99
- Release rhythm 92
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 17.5
- age_days: 4558
- days_rel: 57
- days_push: 8
- n_releases_24m: 31
Adoption not part of the score
17440 stars · 1671 forks observed · 2026-10-13
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
QuestDB is an open-source, high-performance time-series database with a column-oriented, SIMD-vectorized SQL engine written in zero-GC Java and C++. It offers multi-tier storage (WAL, native columnar, Parquet on object storage), Postgres wire protocol, REST API, and time-series SQL extensions like ASOF JOIN and SAMPLE BY.
Use cases
- store and query financial tick data like trades and order books
- ingest millions of sensor or IoT telemetry events per second
- build real-time dashboards and monitoring with Grafana
- run low-latency analytical SQL queries on time-series data
- compute OHLC bars and technical indicators on market data
- analyze post-trade execution quality and slippage
- keep historical data in Parquet on object storage without vendor lock-in
When to choose
- you need high-throughput ingestion with millisecond-level SQL query latency
- your workload is time-series heavy with high data cardinality
- you want Postgres wire compatibility and open formats like Parquet
- you need time-series SQL operators like ASOF JOIN, SAMPLE BY, and LATEST ON
- you want a self-hosted database that integrates with Grafana and existing SQL tooling
When to avoid
- you need full OLTP with complex multi-row transactions and joins across relational entities
- your data is mostly unstructured documents or graph-shaped
- you require ARM-optimized performance, since SIMD and JIT optimizations are limited on ARM
- you need high availability, RBAC, and automated backups without paying for QuestDB Enterprise
- you want a fully managed cloud database with no operational overhead
Facets
service · maturity stable
database search-engine analytics streaming monitoring databases time-series fintech analytics big-data windows self-hosted cloud jvm cpp rust time-series-database sql simd columnar parquet postgres-wire-protocol low-latency tick-data olap grafana financial-market-data telemetry asof-join sample-by real-time linux macos docker kubernetes
10 sources
- readme: https://github.com/questdb/questdb · fetched 2026-10-13 · 6ee6b772bb57
- homepage: https://questdb.com · fetched 2026-10-12 · 659f2946dc0b
- site_page: https://questdb.com/docs/deployment/kubernetes · fetched 2026-10-12 · 026579af00b0
- site_page: https://questdb.com/docs/deployment/aws · fetched 2026-10-12 · 2266d95f00da
- site_page: https://questdb.com/docs · fetched 2026-10-12 · 24f9838e82b3
- site_page: https://questdb.com/docs/cookbook · fetched 2026-08-29 · 0053966aee2c
- site_page: https://questdb.com/docs/deployment/docker · fetched 2026-10-12 · 18b9faab782b
- site_page: https://questdb.com/docs/deployment/azure · fetched 2026-10-12 · 3d548d555052
- site_page: https://questdb.com/docs/deployment/gcp · fetched 2026-10-12 · cb8ae697d198
- site_page: https://questdb.com/docs/architecture/storage-engine · fetched 2026-08-29 · 95caf07077df
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| questdb/questdb | main | 97 |
For agents
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem