TimescaleDB is a time-series database, built on top of PostgreSQL. More than that, however, it's a relational database for time-series. Developers who use TimescaleDB get the benefit of a purpose-built time-series database, plus a classic relational database (PostgreSQL), all in one, with full SQL support.

In this section of our documentation, we present all of the information you need to understand what TimescaleDB is, how it works, how to get started, and how to successfully use and implement all of the powerful features for your next project.

In the Overview section you'll find everything you need to know about the design and core concepts that make TimescaleDB the super powered, time-series database that it is.

You'll also find Release Notes, our FAQ, and any known limitations with the current version of TimescaleDB that you should be aware of.

The Getting started tutorial leads you through your first experience with TimescaleDB by setting up hypertables, importing data, running queries, and exploring the key features that make TimescaleDB a pleasure to use.

If you've never used TimescaleDB or haven't explored many of our features yet, this is the place to start.

Our How-to guides provide answers to common questions with each feature of TimescaleDB. Using hypertables, enabling native compression, setting up data retention, and much more are all covered here.

TimescaleDB tutorials is an ever-growing list of new long-form guides to help you setup a project from beginning to end in order to explore features of TimescaleDB in more depth.

The current list includes examples on time-series forecasting, using Prometheus and Promscale, a 💯 series of Grafana examples, analyzing cryptocurrency, and more.

In our Code quick starts section we provide samples of connecting to TimescaleDB from a growing list of application languages using standard SDKs and best practices.

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