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.

Caladan
Mizuho
SIX
OKX
Airbus
Broadridge
Ripple HiddenRoad
BTG Pactual
B3
User logo
Brevan Howard
Electio
Marex
Laser Digital Nomura
NetApp
Yahoo
HDFC Bank
XRP Ledger
Arbor Energy
Cesium Astro
Firefly Aerospace
One Trading
Caladan
Mizuho
SIX
OKX
Airbus
Broadridge
Ripple HiddenRoad
BTG Pactual
B3
User logo
Brevan Howard
Electio
Marex
Laser Digital Nomura
NetApp
Yahoo
HDFC Bank
XRP Ledger
Arbor Energy
Cesium Astro
Firefly Aerospace
One Trading
B3 logo

B3 powers Latin America's largest exchange with QuestDB

Read the full story
Capital Markets

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.

Kleber AlmeidaManager, Exchange Technology, B3 Exchange
$5B+Daily traded volume
99.9%Uptime guarantee
Capital Markets

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.

Stuart Masterton-SmithETrading Regional Software Engineering Lead, Brevan Howard
Capital Markets

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.

Renan AvilaDirector, BTG Pactual
<10msAPI response time
100K+Tickers per table
Capital Markets

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.

PakHong ChanHead of Digital Assets Systematic Trading, Marex
Retail Banking

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.

Rana Sinha RayHead Enterprise Competencies, HDFC Bank
Energy Infrastructure

Arbor Energy builds power systems that turn biomass waste into clean electricity while permanently capturing the carbon. Every test campaign is logged into QuestDB at the site and replicated to a central QuestDB Enterprise instance in the cloud, where the team reviews the run before committing to the next test point.

  • Edge to cloud: The test site runs its own QuestDB primary and replicates one way into QuestDB Enterprise, so recording continues if connectivity drops
  • A table per test: Tables are created on the fly for each run, and Grafana dashboards plot any channel from any test as soon as the run ends
  • Retention per table: Short-lived test tables and continuous site telemetry each keep their own retention at the site and in the cloud

QuestDB has made it extremely easy to log and retrieve all of our data gathered during testing, which has greatly enabled us knowing if we are good to proceed to our next test point. The team is also very responsive to new feature requests to better enable our workflow.

Adam GluckFounding Member & Principal Data and Controls Engineer, Arbor Energy
Institutional Crypto

Laser Digital, the digital assets arm of Nomura Group, runs its OTC desk's market data on QuestDB, ingesting order book data and trades from multiple exchanges and querying them in SQL from the tools the team already uses.

  • Multi-exchange market data: Order book data and trades from multiple exchanges ingested in real time
  • SQL-first: A SQL surface for quants to reach the data, with open protocols and formats feeding the Python tooling the desk already has
  • Markouts next: The desk plans to run markout analysis on the same data, lining each trade up with the market at multiple horizons

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.

Denys RtveliashviliHead of Data, Laser Digital (Nomura Group)
One Trading logo
Trading technology

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

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SIX Exchange logo
Capital Markets

One 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.

Market surveillance: Monitor trading activity in real-time and ensure a fair and transparent trading environment
Read Aquis Exchange's case study
Beeks Group logo
Capital Markets

Exchange surveillance and monitoring

Beeks Group provides exchanges with advanced tools to monitor network latency, detect microbursts, and identify performance bottlenecks as they occur.

AI-powered real-time analytics: Instant analysis of market data powered by AI models via MindsDB's native QuestDB integration
Read why Beeks chose QuestDB
OKX logo
Institutional Crypto

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.

Ultra-low-latency analytics: End-to-end latency from ingest to query, so market signals are acted on as they land
Read OKX's case study
Airbus logo
Aerospace

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.

Massive scale: Billions of daily data points processed efficiently
About Airbus
Firefly Aerospace logo
Aerospace

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.

Live and after the fact: Real-time monitoring and analysis during missions, with the same store queried for historical analysis afterwards
NASA picks Firefly for Artemis
Selini Capital logo
Institutional Crypto

Trade execution telemetry across regions

Selini Capital is a global crypto-native market maker. Its trading servers stream latency and execution metrics from every stage of the pipeline into QuestDB, aggregated across regions to explain every slowdown.

Ingestion that stays out of the way: Metrics leave congested trading servers over UDP without competing with exchange traffic, and deduplication makes resends safe
About Selini Capital
Ripple and Hidden Road logo
Institutional Crypto

Market data and pricing for prime brokerage

Hidden Road, part of Ripple, is a global credit network for institutions covering prime brokerage, clearing and financing. QuestDB stores market data from major exchanges alongside customer trades, and answers the pricing queries built on top of it.

Historical marking prices: SQL primitives built for capital markets value any asset at any point in time
About Hidden Road
Caladan logo
Trading Infrastructure

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.

Trading scale: $170B in annual transactions across more than 1,000 assets
Read the Caladan announcement
Danske Commodities logo
Capital Markets

Market data for European energy trading

Danske Commodities, part of the Equinor group, is one of Europe's leading energy traders. Its automated trading system feeds order book data from European energy exchanges into QuestDB Enterprise.

A year of order books in minutes: A full year of order book history is replayed in minutes to recompute indicators such as 15-minute VWAPs, on a single server
Airbus logo

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

Oliver PfeifferSoftware Architect, Airbus
Airtel logo
Telecommunications

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.

Sustained ingestion load: Ingest billions of records to produce real-time reports
Read Airtel's case study
Reflexivity logo
Financial Technology

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.

Resource optimization: 4x reduction in hardware requirements with better performance
Read Reflexivity's case study
Anti Capital logo
Institutional Crypto

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.

Low-latency: High-speed ingestion of tick data from low-latency feeds and exchanges
Read story
Copenhagen Atomics logo
Energy Infrastructure

Copenhagen Atomics powers nuclear

Next-generation molten salt reactor manufacturer uses QuestDB for real-time thorium reactor monitoring.

High cardinality: High-cardinality data from thousands of reactor sensors, ingested and queried in real time
Read the Copenhagen Atomics case study
XRP Ledger logo
Blockchain

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.

Cost-effective scaling: 90% reduction in infrastructure costs with improved performance
Read XRP Ledger's case study
Energetech logo
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.

Simplification: Built-in deduplication and out of order handling simplifies the data pipeline
Read Energetech's case study
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Low-latency, multi-tiered architecture. AI-ready, built on open formats.