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timescale/timescaledb

Analysis updated 2026-06-21

★ 22,571CAudience · developerComplexity · 3/5Setup · moderate

TLDR

A PostgreSQL extension that makes storing and querying large amounts of time-stamped data, sensor readings, metrics, logs, fast and efficient using standard SQL you already know.

Mindmap

mindmap
  root((TimescaleDB))
    What it does
      Time-series storage
      Automatic partitioning
      Standard SQL unchanged
    Key Features
      time_bucket grouping
      Columnstore compression
      Hypertables
    Use Cases
      IoT sensor data
      Financial tick data
      Server monitoring
    Tech Stack
      C extension
      PostgreSQL
      SQL
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What do people build with it?

USE CASE 1

Store and query IoT sensor readings that grow by millions of rows per day without query slowdown.

USE CASE 2

Build a monitoring dashboard that aggregates server metrics by hour or day using SQL time_bucket queries.

USE CASE 3

Migrate an existing PostgreSQL app to handle time-series data without changing your query code.

USE CASE 4

Run analytics on years of application log data efficiently using automatic compression.

What is it built with?

CPostgreSQLSQL

How does it compare?

timescale/timescaledbfastfetch-cli/fastfetchsamypesse/how-to-make-a-computer-operating-system
Stars22,57122,50922,411
LanguageCCC
Setup difficultymoderateeasyeasy
Complexity3/52/54/5
Audiencedeveloperdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires an existing PostgreSQL installation, install the extension and run create_hypertable on your target table.

License information not mentioned in the explanation.

In plain English

TimescaleDB is a database extension for PostgreSQL, the popular open-source database, that makes it fast and efficient to store and query time-series data. Time-series data is any information recorded with a timestamp, like sensor readings from IoT devices, stock prices, server performance metrics, or application logs. Regular databases can handle this kind of data, but they tend to slow down significantly as the data grows because they were not designed for it. TimescaleDB solves this by transparently dividing your time-stamped data into time-based chunks behind the scenes, you write normal SQL queries and it handles the partitioning automatically. It also includes a columnstore feature that compresses data and reorganizes it to speed up analytical queries that scan large amounts of historical data. A special function called time_bucket lets you easily group data into intervals like "every hour" or "every day" with a single SQL command. Since it runs as an extension inside PostgreSQL, you do not need to learn a new database system or query language. Your existing PostgreSQL tools, clients, and knowledge carry over. You just get time-series-specific capabilities added on top. You would use TimescaleDB when you need to store and analyze large volumes of data that has a time dimension, IoT sensor streams, financial tick data, infrastructure monitoring, or any application that keeps growing a timestamped log. It is written in C.

Copy-paste prompts

Prompt 1
Write a PostgreSQL query using TimescaleDB time_bucket to aggregate IoT sensor readings into hourly averages.
Prompt 2
How do I migrate an existing PostgreSQL table of timestamped events to a TimescaleDB hypertable?
Prompt 3
Set up TimescaleDB to automatically compress data chunks older than 30 days to save storage space.
Prompt 4
Show me how to query the last 7 days of server CPU metrics from a TimescaleDB hypertable and display the trend.
Prompt 5
Design a TimescaleDB schema for storing stock tick data and query 5-minute candlestick intervals.

Frequently asked questions

What is timescaledb?

A PostgreSQL extension that makes storing and querying large amounts of time-stamped data, sensor readings, metrics, logs, fast and efficient using standard SQL you already know.

What language is timescaledb written in?

Mainly C. The stack also includes C, PostgreSQL, SQL.

What license does timescaledb use?

License information not mentioned in the explanation.

How hard is timescaledb to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is timescaledb for?

Mainly developer.

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