Introduction

QuestDB is an Apache 2.0 open source columnar database that specializes in time series.

It offers category-leading ingestion throughput and fast SQL queries with operational simplicity.

Given its effiency, QuestDB reduces operational costs, all while overcoming ingestion bottlenecks.

As a result, QuestDB offers greatly simplified overall ingress infrastructure.

This introduction provides a brief overview on:

Just want to build? Jump to the quick start guide.

Top QuestDB features​

QuestDB is applied within cutting edge use cases around the world.

Developers are most enthusiastic about the following key features:

Massive ingestion handling & throughput​

If you are running into throughput bottlenecks using an existing storage engine or time series database, QuestDB can help.

High performance deduplication & out-of-order indexing​

High data cardinality will not lead to performance degradation.

Hardware efficiency​

Strong, cost-saving performance on very mninimal hardware, including sensors and Raspberry Pi.

SQL with time series extensions​

Fast, SIMD-optimized SQL extensions to cruise through querying and analysis.

No obscure domain-specific languages required.

Greatest hits include:

  • SAMPLE BY summarizes data into chunks based on a specified time interval, from a year to a microsecond
  • WHERE IN to compress time ranges into concise intervals
  • LATEST ON for latest values within multiple series within a table
  • ASOF JOIN to associate timestamps between a series based on proximity; no extra indices required

Benefits of QuestDB​

Time series data is seen increasingly in use cases across:

  • finance
  • internet of things (IoT)
  • e-commerce
  • security
  • blockchain
  • many other emerging technical industries

As more time bound data is generated, high performance data reception is essential to avoid ingestion bottlenecks.

The right data store greatly simplifies code costly infrastructure sprawl and spend.

But to be the right one, the storage engine must be both high performance and efficient:

A chart showing high-cardinality ingestion performance of InfluxDB, TimescaleDB, and QuestDB
Benchmark results for QuestDB 7.3.10, InfluxDB 2.7.4 and Timescale 2.14.2

Beyond performance and efficiency, with a specialized time-series database, you don't need to worry about:

  • out-of-order data
  • duplicates
  • exactly one semantics
  • frequency of ingestion
  • many other details you will find in demanding real-world scenarios

QuestDB provides simplified, hyper-fast data ingestion with tremendous efficiency and therefore value.

Write blazing-fast queries and create real-time Grafana via familiar SQL:

Navigate time with SQLDemo this query
SELECT
    timestamp, symbol,
    first(price) AS open,
    last(price) AS close,
    min(price),
    max(price),
    sum(amount) AS volume
FROM trades
WHERE  timestamp > dateadd('d', -1, now())
SAMPLE BY 15m;

Intrigued? The best way to see whether QuestDB is right for you is to try it out.

Click Demo this query in the snippet above to visit our demo instance and experiment.

To bring your own data and learn more, keep reading!

QuestDB Enterprise​

QuestDB Enterprise offers everything from open source, plus additional features for running QuestDB at greater scale or significance.

For a breakdown of Enterprise features, see the QuestDB Enterprise page.

Where to next?​

You'll be inserting data and generating valuable queries in little time.

First, the quick start guide will get you running.

Choose from one of our premium ingest-only language clients:

From there, you can learn more about what's to offer.

Support​

We are happy to help with any question you may have.

The team loves a good performance optimization challenge!

Feel free to reach out using the following channels: