Enterprise 4.0Read

The live stream and the
complete record, unified.The live stream and the complete record, unified.

QuestDB ingests millions of events per second, computes on live data in milliseconds, and keeps years of history queryable. One SQL engine spanning messaging, stream processing, and tiered storage.

Try it live Get Enterprise

Powering critical data workloads at leading companies globally

19M

Rows/sec/serveringestion

220M

Rows/sec streamedto Arrow

2.3s

To stream 500Mrows

32ms

First Arrowbatch

19M

Rows/sec/serveringestion

220M

Rows/sec streamedto Arrow

2.3s

To stream 500Mrows

32ms

First Arrowbatch

Published QWP benchmark results on

QuestDB v10.0

Capital markets

Explore capital markets

Modernize the market data stack. Never drop a tick.

Capture large volumes of market data and trades, act on them in real time, and query the same complete history for pre-trade signals, research, TCA, risk, P&L, surveillance, and compliance. Standard SQL and open formats keep every team connected to the record.

Market data & researchPre-trade analysisTCA & markoutsIntraday risk & P&LSurveillance & compliance

Explore capital markets

01

Capture every event once

Ingest ticks, orders, executions, and transactions at market speed. Durability, deduplication, and out-of-order correction are built in.

02

Act before the moment passes

Compute intraday risk and P&L, evaluate surveillance conditions, and publish results while the market is moving.

03

Investigate with the full record

Run TCA, markouts, post-trade analysis, compliance, and historical research in SQL, then open the same data through Apache Parquet, Iceberg and Arrow.

Critical market infrastructure runs on QuestDB

“A time series database truly built by developers for developers”

“QuestDB enables exceptional transaction throughput performance”

“QuestDB has been an excellent fit for our production trading analytics”

Queries/second at national scale for 90M users

Capital markets

Explore capital markets

Modernize the market data stack. Never drop a tick.

Capture large volumes of market data and trades, act on them in real time, and query the same complete history for pre-trade signals, research, TCA, risk, P&L, surveillance, and compliance. Standard SQL and open formats keep every team connected to the record.

Market data & researchPre-trade analysisTCA & markoutsIntraday risk & P&LSurveillance & compliance

Explore capital markets

01

Capture every event once

Ingest ticks, orders, executions, and transactions at market speed. Durability, deduplication, and out-of-order correction are built in.

02

Act before the moment passes

Compute intraday risk and P&L, evaluate surveillance conditions, and publish results while the market is moving.

03

Investigate with the full record

Run TCA, markouts, post-trade analysis, compliance, and historical research in SQL, then open the same data through Apache Parquet, Iceberg and Arrow.

Critical market infrastructure runs on QuestDB

“A time series database truly built by developers for developers”

“QuestDB enables exceptional transaction throughput performance”

“QuestDB has been an excellent fit for our production trading analytics”

Queries/second at national scale for 90M users

One engine. The full data lifecycle.

Act on what is happening.
Learn from everything that happened.

Capture

01

01

Capture

Ingest millions of ordered and out-of-order events without pre-aggregation.

Compute

02

02

Compute

Transform, enrich, and aggregate events as they arrive, then publish results in real time.

Query

03

03

Query

Run temporal SQL across live and historical data with predictable low latency.

Retain

04

04

Retain

Keep the complete record online across hot storage and object storage tiers.

Capture

01

01

Capture

Ingest millions of ordered and out-of-order events without pre-aggregation.

Compute

02

02

Compute

Transform, enrich, and aggregate events as they arrive, then publish results in real time.

Query

03

03

Query

Run temporal SQL across live and historical data with predictable low latency.

Retain

04

04

Retain

Keep the complete record online across hot storage and object storage tiers.

Standard SQL. No lock-in.

Built for the modern stack.

Special SQL primitives for time-series, built for the most demanding workloads in capital markets, aerospace, and energy. Easy for engineers to write, native for AI agents.

coding agent - ~/questdb-demo

Prompt:

"Create a matview to compute 1-minute OHLCV candles from market_data"

Running in banks, exchanges, rockets, and power plants.

QuestDB Customers

Capital Markets B3 logo

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.

Read the full story

“We chose QuestDB for its speed and straightforward deployment, which fits cleanly into our cloud-native architecture.”

Kleber AlmeidaIT Manager, B3

$5B+Daily traded volume

99.9%Uptime guarantee

Aerospace

Airbus monitors fleet data in real time on QuestDB

Airbus processes billions of data points a day on QuestDB, powering real-time monitoring and predictive maintenance for mission-critical components across the fleet.

Explore QuestDB for aerospace

“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

BillionsData points per day

3Aircraft programs

Capital Markets

One Trading runs regulated digital asset trading on QuestDB

One Trading's regulated crypto exchange runs on QuestDB for Capital Markets, ingesting billions of trades for real-time market surveillance and latency analysis.

Read the full story

“QuestDB is an essential part of our trading platform — a high-speed, scalable store for billions of trades we can query in real time.”

Steven HarperChief Security Officer, One Trading

8M+Rows/sec ingest

1stEuropean MiFID II derivatives exchange

Nuclear Energy Copenhagen Atomics logo

Copenhagen Atomics monitors thorium reactors in real time

Copenhagen Atomics monitors its next-generation molten salt reactors on QuestDB for energy infrastructure, ingesting high-cardinality data from thousands of reactor sensors for instant anomaly detection.

Read the full story

“QuestDB was our choice for real time data due to high performance, open source, high flexibility and great support. We believe that QuestDB will become market leading.”

Lasse TarpSoftware Group Manager, Copenhagen Atomics

100K+Sensors monitored live

Gen IVMolten salt reactors

Capital Markets BTG Pactual logo

BTG Pactual replays order books and tunes pricing algos on QuestDB

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.

Read the full story

“QuestDB has become the standard for data aggregation — lightning fast, serving raw live intraday data through our APIs in a few milliseconds.”

Renan AvilaDirector, BTG Pactual

<10msAPI response time

100K+Tickers per table

Peak performance time-series database

Peak performance for
demanding workloads

5X

Faster ingestion than leading competitors in open source benchmarks (TSBS)

QuestDB vs

TSBS cpu-only ingestion on identical hardware, 10 worker threads.

5xfaster ingestion

QuestDB vs

Formerly Timescale. Same TSBS dataset, same schema and batch size.

8xfaster ingestion

QuestDB vs

TSBS line-protocol ingestion, default durability settings on both engines.

16xfaster ingestion

Experience QuestDB now

Explore our live demo

Our live demo instance is the quickest way to get a feel for QuestDB. Scan more than 2 billion rows in milliseconds. Example queries can get you deep in just a few clicks.

/* This query takes the best bid price and multiplies it by 1.01. Then it finds the level at which that price would be met inside the prices array. We slide the volume array from the first level until the level we found, and sum all the volumes. Note the use of DECLARE to make the query more readable. */

DECLARE
  @prices := asks[1],
  @volumes := asks[2],
  @best_price := @prices[1],
  @multiplier := 1.01,
  @target_price := @multiplier *  @best_price,
  @rel_vol := @volumes[
    1:insertion_point(@prices, @target_price)
  ]
SELECT timestamp, array_sum(@rel_vol) total_volume
FROM market_data
WHERE timestamp > dateadd('m', -1, now())
AND symbol='EURUSD';

Launch demo and see result

One SQL engine, multiple storage tiers

Real-time and historical data, in one engine.

WHERE symbol in ('AAPL', 'NVDA')

LATEST ON timestamp PARTITION BY symbol

CREATE MATERIALIZED VIEW 'trades_OHLC'

min(price) AS low

timestamp IN today()

SELECT spread_bps(bids[1][1], asks[1][1])

FROM read_parquet('trades.parquet')

SAMPLE BY 15m

Tier One: Hot ingest (WAL), durable by default

Incoming data is appended to the write-ahead log (WAL) with ultra-low latency. Writes are made durable before any processing, preserving order and surviving failures without data loss. The WAL is asynchronously shipped to object storage, so new replicas can bootstrap quickly and read the same history.

Tier Two: Real-time SQL on live data

Data is time-ordered and de-duplicated into QuestDB's native, time-partitioned columnar format and becomes immediately queryable. Power real-time analysis with vectorized, multi-core execution, streaming materialized views, and time-series SQL (e.g., ASOF JOIN, SAMPLE BY). The query planner spans tiers seamlessly.

Tier Three: Cold storage, open and queryable

Older data is automatically tiered to object storage in Apache Parquet. Query it in-place through QuestDB or use any tool that reads Parquet. This delivers predictable costs, interoperability with AI/ML tooling, and zero lock-in.

Open by Design

Open source. Open standards.

Open at every layer

License: Apache 2.0
Open standards: Apache Parquet, Apache Iceberg, SQL, PGWire
Community: 170+ OSS contributors

Need more?

CompareCompare Enterprise & OSS

Reliability: HA, replication, failover
Scale: Multi-tier storage at petabyte scale
Security: RBAC, TLS, SSO
Support: 24/7 expert support, 99.9% uptime SLA

Open at every layer

License: Apache 2.0
Open standards: Apache Parquet, Apache Iceberg, SQL, PGWire
Community: 170+ OSS contributors

Need more?

CompareCompare Enterprise & OSS

Reliability: HA, replication, failover
Scale: Multi-tier storage at petabyte scale
Security: RBAC, TLS, SSO
Support: 24/7 expert support, 99.9% uptime SLA

4.8/5 G2 Rating

QuestDB works where you are

Marketplaces

Coming soon

On-prem

Run QuestDB inside your own datacenter or colocation cage, next to the matching engine. Docker, Kubernetes, or bare metal on Linux, macOS, and Windows.

Cloud

Fully managed QuestDB Enterprise on AWS, Azure, and GCP. Provisioned in minutes, scaled and upgraded without downtime.

BYOC

Bring Your Own Cloud: QuestDB Enterprise runs fully managed inside your AWS or Azure account, with private networking, your identity provider, and object storage for tier-three history.

Rich ecosystem of connectors

Native integrations across the modern open data stack.

View all connections

Upstream – Ingest

Kafka Redpanda Telegraf Apache Flink Python

Apache Nifi

One SQL surface

Grafana PG WirePostgres Wire Pandas Polars Apache Spark Superset

Downstream – Query

0101001010001010100110001000101010000110101010000100000011101 000110100101101101011001010111001101110100011000010110110101110000001011000010000001100010 011 // 0101001010001010100110001000101010000110101010000100000011101 000110100101101101011001010111001101110100011000010110110101110000001011000010000001100010 011 // 0101001010001010100110001000101010000110101010000100000011101 000110100101101101011001010111001101110100011000010110110101110000001011000010000001100010 011 // 0101001010001010100110001000101010000110101010000100000011101 000110100101101101011001010111001101110100011000010110110101110000001011000010000001100010 011

01100100 01010010100010101001100010001010100001 SELECT * FROM trades 00000011101 WHERE symbol in ('AAPL', 'NVDA') 010101000 LATEST ON timestamp PARTITION BY symbol 0010 01101001 01100100 // 01100100 01010010100010101001100010001010100001 SELECT * FROM trades 00000011101 WHERE symbol in ('AAPL', 'NVDA') 010101000 LATEST ON timestamp PARTITION BY symbol 0010 01101001 01100100 // 01100100 01010010100010101001100010001010100001 SELECT * FROM trades 00000011101 WHERE symbol in ('AAPL', 'NVDA') 010101000 LATEST ON timestamp PARTITION BY symbol 0010 01101001 01100100 // 01100100 01010010100010101001100010001010100001 SELECT * FROM trades 00000011101 WHERE symbol in ('AAPL', 'NVDA') 010101000 LATEST ON timestamp PARTITION BY symbol 0010 01101001 01100100

0101001010001010100110 0010001010100001101010100001000 first(price) AS open, 11001 010111001101110100011000010110110101110000001011000010000001100010 // 0101001010001010100110 0010001010100001101010100001000 first(price) AS open, 11001 010111001101110100011000010110110101110000001011000010000001100010 // 0101001010001010100110 0010001010100001101010100001000 first(price) AS open, 11001 010111001101110100011000010110110101110000001011000010000001100010 // 0101001010001010100110 0010001010100001101010100001000 first(price) AS open, 11001 010111001101110100011000010110110101110000001011000010000001100010

01101001 01100100 01010010100010101 last(price) AS close, 00110001000100 0001100010 01101001 01100100 01010010100010101001100010001010100001 // 01101001 01100100 01010010100010101 last(price) AS close, 00110001000100 0001100010 01101001 01100100 01010010100010101001100010001010100001 // 01101001 01100100 01010010100010101 last(price) AS close, 00110001000100 0001100010 01101001 01100100 01010010100010101001100010001010100001 // 01101001 01100100 01010010100010101 last(price) AS close, 00110001000100 0001100010 01101001 01100100 01010010100010101001100010001010100001

10101010000100000011101 000110100101101101011001010111001100110010010 min(price) AS low, 011001 010111001101110100011000010110110101110000001011000010000001100010 // 10101010000100000011101 000110100101101101011001010111001100110010010 min(price) AS low, 011001 010111001101110100011000010110110101110000001011000010000001100010 // 10101010000100000011101 000110100101101101011001010111001100110010010 min(price) AS low, 011001 010111001101110100011000010110110101110000001011000010000001100010 // 10101010000100000011101 000110100101101101011001010111001100110010010 min(price) AS low, 011001 010111001101110100011000010110110101110000001011000010000001100010

01101001 01100100 01100010001010100 max(price) AS high, 0011 010101000 0100000011101 01000000111010 011010010110110101100101011100110111010001100 // 01101001 01100100 01100010001010100 max(price) AS high, 0011 010101000 0100000011101 01000000111010 011010010110110101100101011100110111010001100 // 01101001 01100100 01100010001010100 max(price) AS high, 0011 010101000 0100000011101 01000000111010 011010010110110101100101011100110111010001100 // 01101001 01100100 01100010001010100 max(price) AS high, 0011 010101000 0100000011101 01000000111010 011010010110110101100101011100110111010001100

01101001 01100100 01010010100010101001100010001010100001101010100001000000111101 0011 sum(amount) AS volume // 01101001 01100100 01010010100010101001100010001010100001101010100001000000111101 0011 sum(amount) AS volume // 01101001 01100100 01010010100010101001100010001010100001101010100001000000111101 0011 sum(amount) AS volume // 01101001 01100100 01010010100010101001100010001010100001101010100001000000111101 0011 sum(amount) AS volume

01101 101011001010111001101110100011000010110110101110000001011000010000001100010 01101001 01100100 010100101000101010011000100010101000011010101000010 FROM trades // 01101 101011001010111001101110100011000010110110101110000001011000010000001100010 01101001 01100100 010100101000101010011000100010101000011010101000010 FROM trades // 01101 101011001010111001101110100011000010110110101110000001011000010000001100010 01101001 01100100 010100101000101010011000100010101000011010101000010 FROM trades // 01101 101011001010111001101110100011000010110110101110000001011000010000001100010 01101001 01100100 010100101000101010011000100010101000011010101000010 FROM trades

0000011101 0001100010 01101001 01100100 01010010100010101001100010001010100001 WHERE symbol = 'MSFT' AND timestamp IN today() 0000 1011000010000001100010 // 0000011101 0001100010 01101001 01100100 01010010100010101001100010001010100001 WHERE symbol = 'MSFT' AND timestamp IN today() 0000 1011000010000001100010 // 0000011101 0001100010 01101001 01100100 01010010100010101001100010001010100001 WHERE symbol = 'MSFT' AND timestamp IN today() 0000 1011000010000001100010 // 0000011101 0001100010 01101001 01100100 01010010100010101001100010001010100001 WHERE symbol = 'MSFT' AND timestamp IN today() 0000 1011000010000001100010

01101001 011001000101001010001010100110001000101010000110101010000100000011101 01 SAMPLE BY 15m 0110 001000101010000110101010000100000011101 000110100101101101011001 // 01101001 011001000101001010001010100110001000101010000110101010000100000011101 01 SAMPLE BY 15m 0110 001000101010000110101010000100000011101 000110100101101101011001 // 01101001 011001000101001010001010100110001000101010000110101010000100000011101 01 SAMPLE BY 15m 0110 001000101010000110101010000100000011101 000110100101101101011001 // 01101001 011001000101001010001010100110001000101010000110101010000100000011101 01 SAMPLE BY 15m 0110 001000101010000110101010000100000011101 000110100101101101011001

01000101010000110101 SELECT timestamp 00000011101 000110100101101101011001 010111001101110100011000010110110101110000001011000010000001100010 // 01000101010000110101 SELECT timestamp 00000011101 000110100101101101011001 010111001101110100011000010110110101110000001011000010000001100010 // 01000101010000110101 SELECT timestamp 00000011101 000110100101101101011001 010111001101110100011000010110110101110000001011000010000001100010 // 01000101010000110101 SELECT timestamp 00000011101 000110100101101101011001 010111001101110100011000010110110101110000001011000010000001100010

15m 0101001010001010100110 001000101010000110101010000100000011101 SELECT timestamp time, symbol, price as priceAAPL, avg(price) over (PARTITION BY symbol ORDER BY timestamp RANGE between 30 days PRECEDING AND CURRENT ROW) moving_avg_30_days // 15m 0101001010001010100110 001000101010000110101010000100000011101 SELECT timestamp time, symbol, price as priceAAPL, avg(price) over (PARTITION BY symbol ORDER BY timestamp RANGE between 30 days PRECEDING AND CURRENT ROW) moving_avg_30_days // 15m 0101001010001010100110 001000101010000110101010000100000011101 SELECT timestamp time, symbol, price as priceAAPL, avg(price) over (PARTITION BY symbol ORDER BY timestamp RANGE between 30 days PRECEDING AND CURRENT ROW) moving_avg_30_days // 15m 0101001010001010100110 001000101010000110101010000100000011101 SELECT timestamp time, symbol, price as priceAAPL, avg(price) over (PARTITION BY symbol ORDER BY timestamp RANGE between 30 days PRECEDING AND CURRENT ROW) moving_avg_30_days

010111001101110100011000010110110101110000001011000010000001100010 01101001 01100100 010100101000101010011000100010101000011010101000010 FROM trades 00100000011101 // 010111001101110100011000010110110101110000001011000010000001100010 01101001 01100100 010100101000101010011000100010101000011010101000010 FROM trades 00100000011101 // 010111001101110100011000010110110101110000001011000010000001100010 01101001 01100100 010100101000101010011000100010101000011010101000010 FROM trades 00100000011101 // 010111001101110100011000010110110101110000001011000010000001100010 01101001 01100100 010100101000101010011000100010101000011010101000010 FROM trades 00100000011101

01100100 01010010100010101001100010001010100001 10101010000100000011101 WHERE timestamp > dateadd('M', -1, now()) 100110111010001100 0101110000001011000010 000000101100 // 01100100 01010010100010101001100010001010100001 10101010000100000011101 WHERE timestamp > dateadd('M', -1, now()) 100110111010001100 0101110000001011000010 000000101100 // 01100100 01010010100010101001100010001010100001 10101010000100000011101 WHERE timestamp > dateadd('M', -1, now()) 100110111010001100 0101110000001011000010 000000101100 // 01100100 01010010100010101001100010001010100001 10101010000100000011101 WHERE timestamp > dateadd('M', -1, now()) 100110111010001100 0101110000001011000010 000000101100

000001100010 01101001 01100100 0101001010001010100110001000101010000110101010000100000011101 001100010 01101001 01100100 AND symbol = 'AMZN'; // 000001100010 01101001 01100100 0101001010001010100110001000101010000110101010000100000011101 001100010 01101001 01100100 AND symbol = 'AMZN'; // 000001100010 01101001 01100100 0101001010001010100110001000101010000110101010000100000011101 001100010 01101001 01100100 AND symbol = 'AMZN'; // 000001100010 01101001 01100100 0101001010001010100110001000101010000110101010000100000011101 001100010 01101001 01100100 AND symbol = 'AMZN';

0101001010001010100110 001000101010000110101010000100000011101 000110100101101101011001 010111001101110100011000010110110101110000001011000010000001100010 01101001 01100100 // 0101001010001010100110 001000101010000110101010000100000011101 000110100101101101011001 010111001101110100011000010110110101110000001011000010000001100010 01101001 01100100 // 0101001010001010100110 001000101010000110101010000100000011101 000110100101101101011001 010111001101110100011000010110110101110000001011000010000001100010 01101001 01100100 // 0101001010001010100110 001000101010000110101010000100000011101 000110100101101101011001 010111001101110100011000010110110101110000001011000010000001100010 01101001 01100100

01101001 01100100 01010010100010101 last(price) AS close, 00110001000100 0001100010 01101001 01100100 01010010100010101001100010001010100001 // 01101001 01100100 01010010100010101 last(price) AS close, 00110001000100 0001100010 01101001 01100100 01010010100010101001100010001010100001 // 01101001 01100100 01010010100010101 last(price) AS close, 00110001000100 0001100010 01101001 01100100 01010010100010101001100010001010100001 // 01101001 01100100 01010010100010101 last(price) AS close, 00110001000100 0001100010 01101001 01100100 01010010100010101001100010001010100001

10101010000100000011101 000110100101101101011001010111001100110010010 min(price) AS low, 011001 010111001101110100011000010110110101110000001011000010000001100010 // 10101010000100000011101 000110100101101101011001010111001100110010010 min(price) AS low, 011001 010111001101110100011000010110110101110000001011000010000001100010 // 10101010000100000011101 000110100101101101011001010111001100110010010 min(price) AS low, 011001 010111001101110100011000010110110101110000001011000010000001100010 // 10101010000100000011101 000110100101101101011001010111001100110010010 min(price) AS low, 011001 010111001101110100011000010110110101110000001011000010000001100010

01101001 01100100 01100010001010100 max(price) AS high, 0011 010101000 0100000011101 01000000111010 011010010110110101100101011100110111010001100 // 01101001 01100100 01100010001010100 max(price) AS high, 0011 010101000 0100000011101 01000000111010 011010010110110101100101011100110111010001100 // 01101001 01100100 01100010001010100 max(price) AS high, 0011 010101000 0100000011101 01000000111010 011010010110110101100101011100110111010001100 // 01101001 01100100 01100010001010100 max(price) AS high, 0011 010101000 0100000011101 01000000111010 011010010110110101100101011100110111010001100

01101001 01100100 01010010100010101001100010001010100001101010100001000000111101 0011 sum(amount) AS volume // 01101001 01100100 01010010100010101001100010001010100001101010100001000000111101 0011 sum(amount) AS volume // 01101001 01100100 01010010100010101001100010001010100001101010100001000000111101 0011 sum(amount) AS volume // 01101001 01100100 01010010100010101001100010001010100001101010100001000000111101 0011 sum(amount) AS volume

01101 101011001010111001101110100011000010110110101110000001011000010000001100010 01101001 01100100 010100101000101010011000100010101000011010101000010 FROM trades // 01101 101011001010111001101110100011000010110110101110000001011000010000001100010 01101001 01100100 010100101000101010011000100010101000011010101000010 FROM trades // 01101 101011001010111001101110100011000010110110101110000001011000010000001100010 01101001 01100100 010100101000101010011000100010101000011010101000010 FROM trades // 01101 101011001010111001101110100011000010110110101110000001011000010000001100010 01101001 01100100 010100101000101010011000100010101000011010101000010 FROM trades

0000011101 0001100010 01101001 01100100 01010010100010101001100010001010100001 WHERE symbol = 'MSFT' AND timestamp IN today() 0000 1011000010000001100010 // 0000011101 0001100010 01101001 01100100 01010010100010101001100010001010100001 WHERE symbol = 'MSFT' AND timestamp IN today() 0000 1011000010000001100010 // 0000011101 0001100010 01101001 01100100 01010010100010101001100010001010100001 WHERE symbol = 'MSFT' AND timestamp IN today() 0000 1011000010000001100010 // 0000011101 0001100010 01101001 01100100 01010010100010101001100010001010100001 WHERE symbol = 'MSFT' AND timestamp IN today() 0000 1011000010000001100010

01101001 011001000101001010001010100110001000101010000110101010000100000011101 01 SAMPLE BY 15m 0110 001000101010000110101010000100000011101 000110100101101101011001 // 01101001 011001000101001010001010100110001000101010000110101010000100000011101 01 SAMPLE BY 15m 0110 001000101010000110101010000100000011101 000110100101101101011001 // 01101001 011001000101001010001010100110001000101010000110101010000100000011101 01 SAMPLE BY 15m 0110 001000101010000110101010000100000011101 000110100101101101011001 // 01101001 011001000101001010001010100110001000101010000110101010000100000011101 01 SAMPLE BY 15m 0110 001000101010000110101010000100000011101 000110100101101101011001

01000101010000110101 SELECT timestamp 00000011101 000110100101101101011001 010111001101110100011000010110110101110000001011000010000001100010 // 01000101010000110101 SELECT timestamp 00000011101 000110100101101101011001 010111001101110100011000010110110101110000001011000010000001100010 // 01000101010000110101 SELECT timestamp 00000011101 000110100101101101011001 010111001101110100011000010110110101110000001011000010000001100010 // 01000101010000110101 SELECT timestamp 00000011101 000110100101101101011001 010111001101110100011000010110110101110000001011000010000001100010

15m 0101001010001010100110 001000101010000110101010000100000011101 SELECT timestamp time, symbol, price as priceAAPL, avg(price) over (PARTITION BY symbol ORDER BY timestamp RANGE between 30 days PRECEDING AND CURRENT ROW) moving_avg_30_days // 15m 0101001010001010100110 001000101010000110101010000100000011101 SELECT timestamp time, symbol, price as priceAAPL, avg(price) over (PARTITION BY symbol ORDER BY timestamp RANGE between 30 days PRECEDING AND CURRENT ROW) moving_avg_30_days // 15m 0101001010001010100110 001000101010000110101010000100000011101 SELECT timestamp time, symbol, price as priceAAPL, avg(price) over (PARTITION BY symbol ORDER BY timestamp RANGE between 30 days PRECEDING AND CURRENT ROW) moving_avg_30_days // 15m 0101001010001010100110 001000101010000110101010000100000011101 SELECT timestamp time, symbol, price as priceAAPL, avg(price) over (PARTITION BY symbol ORDER BY timestamp RANGE between 30 days PRECEDING AND CURRENT ROW) moving_avg_30_days

010111001101110100011000010110110101110000001011000010000001100010 01101001 01100100 010100101000101010011000100010101000011010101000010 FROM trades 00100000011101 // 010111001101110100011000010110110101110000001011000010000001100010 01101001 01100100 010100101000101010011000100010101000011010101000010 FROM trades 00100000011101 // 010111001101110100011000010110110101110000001011000010000001100010 01101001 01100100 010100101000101010011000100010101000011010101000010 FROM trades 00100000011101 // 010111001101110100011000010110110101110000001011000010000001100010 01101001 01100100 010100101000101010011000100010101000011010101000010 FROM trades 00100000011101

Rich ecosystem of connectors

Native integrations across the modern open data stack.

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One SQL surface

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Real-time analytics for high performance workloads

Built for the most demanding
time-series use cases

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Capital Markets

Pre- and post-trade, in real time

Millisecond SQL on the trading floor, with full history queryable in QuestDB and open to quants through Parquet.

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Crypto

High-speed, multi-exchange crypto market data

Continuously ingest tick and order-book streams from dozens of exchanges, compute across them in SQL, and keep the complete market record queryable.

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Aerospace

Real-time insights from in-flight to ground control

Ingest millions of sensor readings per second from aircraft, rockets, satellites, and jet-engine simulations.

Energy Infrastructure

Energy Infrastructure

Smarter grids, faster decisions

Run grid operations on live SCADA and telemetry data, detect anomalies as they emerge, and retain the full history for incident reconstruction.

Robotics

Physical AI & robotics telemetry

QuestDB captures structured telemetry, control events, and fleet state in real time, with full history available for reconstruction, training, and fleet analysis.

Retail Banking & Payments

Fraud analytics engine: low-latency ingest, high-concurrency reads

Millisecond SQL scoring across high-cardinality accounts, devices, and merchants—backed by multi-tier storage and open formats for ML.