Postgres for time-series

TimescaleDB is the open-source relational database for time-series and analytics. Build powerful data-intensive applications.

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Great companies trust Timescale

marvel
apple
warnerMusic
walmart
salesforce
dominos
Speak SQL

Become instantly productive with full SQL. Rely on the same PostgreSQL you know, love, and trust.

Supercharge Queries

Hyperfunctions make time-series easier. Achieve 10-100x faster queries than with vanilla PostgreSQL, InfluxDB, MongoDB.

Scale big

Write millions of data points per second per node. Horizontally scale to petabytes. Don’t worry about cardinality.

Relational & time-series, together

Simplify your stack, ask more complex questions, and build more powerful applications.

Operate efficiently

Don’t break the bank. 94-97% compression rates from best-in-class algorithms. Downsample + retention policies. Decouple compute and storage.

Don’t worry, rest easy

You’re in trusted hands. Fully-managed TimescaleDB on AWS, Azure, or GCP in just one click. Top-rated support and ops available 24/7 worldwide.

Timescale Cloud

A modern, cloud-native relational database platform for time-series data based on TimescaleDB and PostgreSQL. The fast, easy, and reliable way to store all your time-series data.

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Time-series data is everywhere.

Financial data

Developers can combine relentless streams of financial and tick data with other business data to build new apps and uncover unique insights.

Web3 / Crypto

Web3 developers need to ingest, analyze, and explore real-time cryptocurrency data, mining metrics, and blockchain activity.

Application metrics

Developers can understand how a product is used over time, make data-driven decisions about user segmentation, and identify the impact of product and business decisions.

Internet of Things

Developers need to track the performance of millions of devices and sensors with pinpoint geospatial and temporal accuracy.

Observability

Companies need to find and address infrastructure and application issues in real-time.

Built by developers for developers

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Tutorials

Explore step-by-step tutorials to get a tour of TimescaleDB features, including built-in SQL functions, and run your first queries using a public dataset.

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Use continuous aggregates

Follow this tutorial to use TimescaleDB's automated materialization capabilities to speed up your common aggregate queries.

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Timescale Blog

Visit our blog to get our latest demos, tips and tricks, best practices for using time-series data, and updates about upcoming virtual events.

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Visualize your data with TimescaleDB and Grafana

Learn how to set up, connect, and build your dashboards with TimescaleDB and Grafana (a popular open-source visualization tool).

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Set up TimescaleDB with Prometheus

Create analytical, long-term storage for Prometheus data in TimescaleDB with one command-line statement using our Helm charts.

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API Reference

Get in-depth knowledge about all of TimescaleDB’s features and how to use them.

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Hacking NFL data with PostgreSQL, TimescaleDB, and SQL

Learn how to use time-series data provided by the NFL to uncover valuable insights and improve your fantasy league team.

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Analyze historical intraday stock data

Financial data is time-series data. Follow this step-by-step guide on how to collect, store, and analyze intraday stock data with TimescaleDB.

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Analyze cryptocurrency trends with ease

Developers love using TimescaleDB to analyze cryptocurrency data. Follow the tutorial and learn how.

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docker
grafana
kafka
looker
mode
omnidb
plotly
sensu
madlib
tableau
zabbix
debezium
sqlalchemy
datadog
chartio

An ecosystem

you know and love

If it works with PostgreSQL, it works with TimescaleDB.

Observability powered by SQL

A unified observability backend for metrics and traces on top of TimescaleDB. Seamlessly integrates with OpenTelemetry, Prometheus, PromQL, and Grafana.

Learn about Promscale

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Learn more about TimescaleDB

Go to the Timescale Docs