High performance time series database

Superior developer experience with SQL and time series extensions. Speed and reliability to solve ingestion speed bottlenecks.

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Performance

  • Ingest 2M rows/s per node
  • Up to 10x faster writes vs InfluxDB
  • Don’t worry about cardinality
  • Columnar storage
  • Data partitioned by time
  • SIMD-optimized queries
See Benchmarks

Developer experience

  • Open source under Apache 2.0
  • Built-in SQL optimizer & REST API
  • PostgreSQL driver compatibility
  • InfluxDB Line Protocol API
  • SQL and time-series joins
  • Grafana integration
See live demo

Enterprise ready

  • Cloud & on-prem
  • Hot & cold read replicas
  • Role-based access control
  • Multiple availability zones
  • Data compression
  • Enterprise support SLA
See Enterprise

Try the live demo

Query over 2 billion rows in milliseconds in the QuestDB Web Console using SQL

Try QuestDB demo in your browser

See query results  >

Peak performance time-series

Hyper ingestion

For massive volumes of time-series data, trust a specialized time-series database. Timestamps are first-class, and blistering throughput is sustained even through the highest data cardinality. Deduplication and out-of-order ingestion also work right out-of-the-box.

“QuestDB outperforms every database we have tested and delivered a 10x improvement in querying speed. It has become a critical piece of our infrastructure.”

Ahmad AbbasiCo-founder and CEO
QuestDB performance compared to TimescaleDB and InfluxDB. QuestDB is the clear winner.
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QuestDB is a time series database truly built by developers for developers. We found that QuestDB provides a unicorn solution to handle extreme TPS while also offering a simplified SQL programming interface.

>Viet Lee
CTOAquis Exchange

Augmented SQL for time series data

ANSI SQL time series extensions made for time stamped data

Arrow up icon
SELECT timestamp, tempC
FROM sensors
WHERE timestamp IN '2021-05-14;1M';
-- Search time
SELECT timestamp, tempC
FROM sensors
WHERE timestamp IN '2021-05-14;1M';
SELECT timestamp, avg(tempC)
FROM sensors
SAMPLE BY 5m;
-- Slice time
SELECT timestamp, avg(tempC)
FROM sensors
SAMPLE BY 5m;
SELECT timestamp, sensorName, tempC
FROM sensors
LATEST ON timestamp PARTITION BY sensorName;
-- Navigate time
SELECT timestamp, sensorName, tempC
FROM sensors
LATEST ON timestamp PARTITION BY sensorName;
SELECT sensors.timestamp ts, rain1H
FROM sensors
ASOF JOIN weather;
-- Merge time
SELECT sensors.timestamp ts, rain1H
FROM sensors
ASOF JOIN weather;
Arrow up icon

Magnifying glass iconSearch Time

Filter and search for specific timestamps with “WHERE”

Knife iconSlice Time

Create time buckets and aggregate by intervals with “SAMPLE BY”

Indication arrow iconNavigate Time

Search time series from most recent values to oldest with “LATEST ON”

Two overlapping squaresMerge Time

Join two tables based on timestamp where timestamps do not exactly match with “ASOF JOIN”

Airbus logo

QuestDB is used at Airbus for real-time applications involving hundreds of millions of data points per day. For us, QuestDB is an outstanding solution that meets (and exceeds) our performance requirements.

>Oliver Pfeiffer
Software ArchitectAirbus

QuestDB dashboard

Available in three flavours

Open Source, Enterprise, Cloud

Deploy QuestDB in the cloud, on-premises or on your laptop.

Open source
Always open source. QuestDB is licensed under Apache 2.0, for worry-free, developer-friendly usage.
QuestDB Cloud
Affordable managed clusters with replication, backups and monitoring. Trust the expert QuestDB team.
Enterprise
Premium features like Role-based Access Control and database replication means scale on your own terms.
Airtel logo

Switching to QuestDB was a game-changer for our analytics. With Elasticsearch, we faced slow ingestion and latency issues for queries. With QuestDB, we now process 500M records per day smoothly.

>Ajay Pilaniya
Lead Media AnalyticsAirtel

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