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  • Why Timescale
    Overview Cost efficient Built on PostgreSQL Optimized for performance Easy for developers Free production support Secure and compliant Industries that rely on us AI and machine learning Energy and environment Crypto and finance Transportation and logistics

    We’re in your corner even during the trial phase. Contact us to discuss your use case with a Timescale technical expert.

    Request a demo
  • Customer Stories
  • Developers
    Timescale Docs Docs Timescale TutorialsTutorials Timescale GuidesGuides Timescale BlogBlog Timescale SupportSupport Timescale Developers' newsletterDevelopers' newsletter

    Support

    Community Github Slack Forum

    Contribute

    Contribute to code or Docs
    Learn

    Time-Series Database Basics

    Do you have time-series data? What is data compression and how does it work? Database partitioning: what it is and why it matters Building a scalable database

    Timescale & PostgreSQL

    Exploring PostgreSQL extensions A guide to PostgreSQL views What is PostgreSQL and where did it come from A summary on SQL joins Understanding PostgreSQL functions

    Building Blocks

    PostgreSQL materialized views and where to find them PostgreSQL join type theory

    Timescale Benchmarks

    vs RDS vs Amazon Timestream vs Influx vs Cassandra vs MongoDB vs ClickHouse
  • Pricing
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Jônatas Davi Paganini

Supercharge Your AI Agents With Postgres: An Experiment With OpenAI's GPT-4
AI

Supercharge Your AI Agents With Postgres: An Experiment With OpenAI's GPT-4

26 Jul 2023 3 min read

Read how you can work with AI agents as intermediaries between AI and databases.

Downsampling in the Database: Processing Data With Ruby or SQL?
Ruby

Downsampling in the Database: Processing Data With Ruby or SQL?

2 Mar 2023 1 min read

One way to optimize your data processing is by improving data locality when downsampling your data. Watch this talk at RubyConfTH, where we benchmark downsampling data in Ruby against a SQL version powered by Timescale’s hyperfunctions.

Downsampling in the Database: How Data Locality Can Improve Data Analysis
General

Downsampling in the Database: How Data Locality Can Improve Data Analysis

16 Feb 2023 8 min read

Learn why data locality can be crucial to downsampling data faster and more efficiently, accelerating the work of both devs and businesses. To test this new approach, we benchmarked the LTTB downsampling algorithm in Ruby and compared it with the Timescale Toolkit lttb ().

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