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.

Aquis Exchange logo
Mizuho logo
OKX logo
Hidden Road logo
B3 logo
Airbus logo
One Trading logo
Linux Foundation logo

High performance

  • Low-latency
  • SIMD-optimized queries
  • Ingest 4M rows/s per node
See benchmarks

For developers

  • Open source
  • Fastest growing TSDB
  • SQL & PGwire compatible
See live demo

Open formats

  • Historical data in Parquet
  • Multiple availability zones
  • Decouple storage/compute
See Enterprise

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
Fast ingest and low latency SQL queries
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

Capital Markets

Powering Brazil's leading stock exchange

B3, the main stock exchange in Brazil and the largest in Latin America, leverages QuestDB to power its Central Securities Depository (CSD) platform. The solution delivers high-performance, low-latency data management for real-time trading operations.

  • High performance: Engineered to capture terabytes of data per day with sub-millisecond query capabilities
  • Cloud-native architecture: Seamlessly integrates with microservices in cloud environments with 99.9% uptime guarantee
  • Open standards: Supports SQL queries and open formats like Parquet and Iceberg for historical data storage
B3 logo

"The Central Securities Depository platform demands exceptional performance, robust security, and resilience in the allocation of real-time data and information for our customers. We selected the QuestDB solution due to its high performance and straightforward implementation, which seamlessly integrates with our microservices architecture in cloud-native environments."

Kleber Almeida
IT Manager

Book a live demo

Have a difficult use-case? Looking to upgrade from your existing TSDB or capital market infrastructure? We'd love to show you how QuestDB can both simplify and amplify existing data storage and retrieval.

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 iconMerge Time

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

Market data meets open formats

Powering next gen market infrastructure

Hyper-fast, reliable, open source and cost effective

Aquis Exchange data visualization
Domain specific functions
Use l2price to find the best price based on the book depth.
Flexible storage
Store order books in multi dimensional arrays (coming soon!).
SQL Window Functions
Calculate financial indicators such as Moving Average or VWAP.

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.

Capital Markets

24/7 trading of power and gas

Leading energy trading firm Energetech leverages QuestDB for real-time trading signals. Processes massive amounts of market and fundamental data to generate forecasts to drive trading decisions.

  • High throughput: Handles bursts of data while ingesting 140GB of data per day
  • Real-time aggregations: Process live market data with millisecond response time
  • Simplification: Built-in deduplication and out of order handling simplifies the data pipeline
Energetech logo

"QuestDB is a specialized database that excels in its focus area. It's easy to get started and addresses many pain points with time series data, offering outstanding read and write performance."

Aleksander Temmo
Senior Quantitative Power Trading Analyst
Time-series correlation

Masterful market data

Instantly match millions of trades with their corresponding market conditions using ASOF JOIN. Analyze price impact, execution quality, and market dynamics by automatically pairing each trade with the closest preceding order book snapshot. Perfect for quantitative analysis and systematic trading strategy optimization.

QuestDB SQL
SELECT *
FROM trades
ASOF JOIN orderbook_snapshots
WHERE ts IN 2024-03-03
Match trades with order books
Unleash hyper-optimized ASOF JOINs.
Efficient data retrieval
Leverage LATEST ON to retrieve the latest order book snapshot.
Simple SQL
The best part? Powerful extended SQL is clear and easy to read and write.

Ready to upgrade?

Our team is here to help you scale. We're happy to offer live demos, chat about your case, and answer any questions.