Trusted by industry leaders
Customers with the most demanding use-cases choose QuestDB Enterprise. Whether at the frontier of capital markets, space exploration or robotics, ingestion bottlenecks, ballooning TCO and vendor lock-in are a thing of the past. Learn more about our customers.
B3 powers Latin America's largest exchange with QuestDB
B3's Central Securities Depository platform runs on QuestDB for Capital Markets, processing every trade on the world's tenth-largest exchange.
- Cloud-native: Seamless integration with modern cloud architecture
- High security: Robust security features for critical market data
- Real-time processing: Millisecond queries for a fast reconciliation process
“The Central Securities Depository platform demands exceptional performance, robust security, and resilience. We selected QuestDB due to its high performance and straightforward implementation.”
Brevan Howard is a leading hedge fund leveraging QuestDB for systematic trading, powering pre-trade analysis and storing all market data and trades.
- High throughput: Exceptional transaction throughput for live market data ingestion
- Multi-tier storage: Historical data tiered on object storage in open formats
- SQL for capital markets: Native primitives like ASOF JOIN with 7 specialized algorithms and Horizon Joins for markouts
“We use QuestDB for our live and historic market data offering because it enables exceptional transaction throughput performance while providing a regular SQL-like interface.”
BTG Pactual replays order books and analyzes pricing algorithm performance on QuestDB for Capital Markets, and runs the same platform under their real-time equities market data API.
- High throughput: Ingesting trades and corporate actions for derivatives in real time
- Dynamic queries: Materialized views produce candlestick charts and cascading views (1s, 5s, 1min) over historical data
- Post-trade troubleshooting: Correlates electronic trading and algorithm events for execution quality
“QuestDB has become the standard for data aggregation. Besides that, QuestDB has proven itself to be lightning fast, fast enough to help us when providing raw live intraday trading data through our set of APIs within a few milliseconds.”
Marex is a global financial services platform providing liquidity, market access, and infrastructure across energy, commodities, and financial markets. Its digital assets desk builds systematic trading strategies on live and historical market data, with QuestDB as the production time-series store underneath.
- Native arrays: Volatility surfaces stored as arrays of strikes and implied vols, queried directly in SQL
- SQL for trading analytics: Nanosecond timestamps and native primitives like ASOF JOIN and SAMPLE BY power pre-trade signals and post-trade execution analysis
- Backtesting-ready: Parquet export, Polars access, and S3 cold tiering give quants scalable access to historical data
“Building a systematic trading platform requires infrastructure that balances performance with developer productivity. QuestDB has been an excellent fit for our production trading analytics—its native array support and built-in Kafka Connect integration made it straightforward to build scalable market data and volatility analytics pipelines, allowing us to focus on trading systems instead of data infrastructure.”
HDFC Bank, one of India's largest banks, uses QuestDB to power large-scale transaction monitoring across businesses. Its low-latency architecture provides the throughput needed to evaluate transactions in real time, with a primary-replica setup and object-storage replication delivering resilience.
- Thousands of concurrent queries: Sustains over 7,000 transactions per second from a single instance for real-time fraud detection
- Resilient architecture: Primary-replica setup with object-storage replication for fault tolerance
- Strict latency: Delivers consistent query performance within tight latency requirements at national-scale volumes
“Our objective was to build a platform that could support high-throughput transaction processing while maintaining sub-second analytical query performance. Working closely with the QuestDB engineering team allowed us to optimize the platform for our banking workloads and build a scalable foundation for future real-time analytics use cases.”
Low-latency exchange for Digital Assets
First MiFID II exchange in the industry achieves sub-200 microsecond round-trip latency
“At One Trading, scalability, performance, and reliability are non-negotiable as we build the future of regulated digital asset trading. QuestDB is an essential part of our trading platform—giving us a high-speed, scalable store for billions of trades that we can query in real time to power both customer-facing features and internal systems.”
Steven Harper·One TradingChief Security Officer
8 million
Rows per second ingestion throughput
More customer stories
Contact salesOne of Europe's largest exchanges
SIX Exchange (Europe's 3rd biggest stock exchange) and Aquis Exchange both leverage QuestDB to process massive volumes of data and capture every tick, trade, and latency metric.
Exchange surveillance and monitoring
Beeks Group provides exchanges with advanced tools to monitor network latency, detect microbursts, and identify performance bottlenecks as they occur.
OKX powers quantitative trading
QuestDB ingests high-frequency market data and trade fills for OKX's internal trading systems, enabling real-time analytics, Kafka-driven ingestion, and Grafana dashboards in a multi-AZ deployment.
Airbus monitors fleet data
Processes billions of data points daily. With QuestDB's ingestion performance, Airbus provides real-time monitoring and predictive maintenance for mission critical components.
Telemetry from launches and spacecraft missions
Firefly Aerospace uses QuestDB to ingest and store large volumes of telemetry from rocket launches, spacecraft missions, and test stands.
Laser Digital's market data infrastructure
Laser Digital (Nomura Group) leverages QuestDB for their digital assets trading desk, enabling high-speed data ingestion and SQL-based analytics for post-trade analysis.
Quantitative trading across 1,000+ assets
Caladan is a global market maker and quantitative trading firm in digital assets, providing liquidity across major exchanges and venues.
XRP Ledger reduces TCO
Provides real-time market data for over 46,000 unique trading pairs on one of the largest blockchains. Serves both the XRP Ledger and Xahau, XRP's first smart contract sidechain.
QuestDB brings a SQL-first solution that is easy to connect to our existing tools and able to ingest data at speed. Their commitment to open standards and close collaboration gives us confidence as we continue building out our data capabilities.
Airtel's video streaming service
Airtel XStream Play uses QuestDB to track engagement and device metrics for their video media streaming service. Their media analytics platform processes billions of daily records.
AI for trading insights
Reflexivity is an award-winning financial AI analytics platform that helps investors make better trading decisions. It achieved 10x faster queries with 75% less hardware after migrating from InfluxDB.
High-frequency proprietary trading
Anti Capital operates its own latency-sensitive trading system and employs sophisticated trading algorithms. QuestDB collects level 2 tick data and facilitates algo backtesting.
Copenhagen Atomics powers nuclear
Next-generation molten salt reactor manufacturer uses QuestDB for real-time thorium reactor monitoring.

Carbon removal from edge to cloud
Arbor Energy builds power systems that turn biomass waste into clean electricity while permanently capturing the carbon. QuestDB runs at its sites and replicates into a central QuestDB Enterprise instance, so remote sites keep recording when connectivity drops.
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.
And thousands more production workloads across mission-critical applications




