Peak time-series performance

QuestDB is the world's fastest growing open-source time-series database. It offers massive ingestion throughput, millisecond queries, powerful time-series SQL extensions, and scales well with minimal and maximal hardware. Save costs with better performance and efficiency.

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Performance

  • Columnar storage
  • SIMD-optimized queries
  • Ingest 4M rows/s per node
  • Don’t worry about cardinality
  • Data partitioned by time
  • Compressed data in Parquet
See Benchmarks

Developer experience

  • Open source under Apache 2.0
  • SQL and time-series joins
  • Open formats: Parquet & Arrow
  • InfluxDB Line Protocol API
  • REST and Postgres APIs
  • Grafana native plugin
See live demo

Enterprise ready

  • Hot & cold read replicas
  • Decoupled storage/compute
  • Role-based access control
  • Multiple availability zones
  • Query Parquet via Object Storage
  • Premium support SLA
See Enterprise

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QuestDB leaps your team forward

Leadership through open formats

Globally distributed, hyper-fast next generation database

Sassy QDB dashboard
Open formats
Leverages existing open formats. No vendor lock-in.
Apache Parquet
Enhanced compression and encoding, for ingress or egress.
Super read/write
In-memory processing, combined with SQL.
Full stream
Stream market data in from feeds or sensors, apply Parquet on read
Direct to Parquet?
Bypass QuestDB ingest, query Parquet directly from the object store
Versatile ecosystem
Diverse clients connect to your data, app, AI and ML frameworks

Simple, high performance SQL

Easily adopted, time-series optimized SQL

Arrow up icon
SELECT timestamp, symbol, price
FROM trades
WHERE timestamp IN '2024-06-21;1M';
-- Search time
SELECT timestamp, symbol, price
FROM trades
WHERE timestamp IN '2024-06-21;1M';
SELECT timestamp, symbol, avg(price)
FROM trades
SAMPLE BY 5m FILL(LINEAR);
-- Slice time
SELECT timestamp, symbol, avg(price)
FROM trades
SAMPLE BY 5m FILL(LINEAR);
SELECT timestamp, symbol, price
FROM trades
LATEST ON timestamp PARTITION BY symbol;
-- Navigate time
SELECT timestamp, symbol, price
FROM trades
LATEST ON timestamp PARTITION BY symbol;
SELECT timestamp, bid_price, ask_price
FROM bids
ASOF JOIN asks;
-- Merge time
SELECT timestamp, bid_price, ask_price
FROM bids
ASOF JOIN asks;
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”

Merge Time

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

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.

Using QuestDB, we deliver time series datasets with real-time market data from a top 10 blockchain. This outperforms a legacy cloud-based data platform at a fraction of the cost, reducing TCO by >90%.

Daniel SiedentopfSenior Software Developer, XRP Ledger Foundation
QuestDB performance compared to TimescaleDB and InfluxDB. QuestDB is the clear winner.

Community love for QuestDB

Category user reviews on G2 rate QuestDB with the highest user satisfaction. Visit our vibrant Slack to chat with the community, the QuestDB core developers, and our technical AI-bot, to find out why.

Better on a Pi, best on full hardware

Max performance, min hardware

Compute costs keep rising. Keep them low with an efficient solution. QuestDB runs well on low hardware, within high cardinality data and with deduplication and out-of-order indexing. On just a 4GB Raspberry Pi, QuestDB outperforms competitors on robust hardware. Have robust hardware? QuestDB scales up to many millions of rows per second.

QuestDB is the first database that scales to the volume and cardinality of data that Beeks Analytics is capable of generating.

Steve RodgersCTO, Beeks Group
QuestDB performance compared to TimescaleDB and InfluxDB. QuestDB is the clear winner.
Aquis Exchange logo

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.

>Paul Roberts
Head of InfrastructureAquis Exchange

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