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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 Energy and environment AI and machine learning Crypto and finance Transportation and logistics AI and machine learning

    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 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
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Nuno Santos

Nuno Santos

Senior Product Manager from Porto, Portugal.

Increase Your Storage Savings With TimescaleDB 2.6: Introducing Compression for Continuous Aggregates
General

Increase Your Storage Savings With TimescaleDB 2.6: Introducing Compression for Continuous Aggregates

23 Feb 2022 12 min read

Timescale 2.6 is now available, introducing two highly requested features by our community: compression for continuous aggregates and timezone support for continuous aggregates (the latter under experimental).

Massive Scale for Time-Series Workloads: Introducing Continuous Aggregates for Distributed Hypertables in TimescaleDB 2.5
Always Be Launching

Massive Scale for Time-Series Workloads: Introducing Continuous Aggregates for Distributed Hypertables in TimescaleDB 2.5

28 Oct 2021 13 min read

With this release, we introduce continuous aggregates in multi-node TimescaleDB, support for Postgres 14, and support for time zones in time_bucket_ng (under experimental).

Move Fast, but Don’t Break Things: Introducing the Experimental Schema (With New Experimental Features) in TimescaleDB 2.4
Announcements & Releases

Move Fast, but Don’t Break Things: Introducing the Experimental Schema (With New Experimental Features) in TimescaleDB 2.4

3 Aug 2021 14 min read

To reinforce our commitment to moving fast and not breaking things, we are introducing a new experimental schema for TimescaleDB as part of our release of TimescaleDB 2.4. Read on for more about how Timescale resolves the tension between rapid innovation and stability.

TimescaleDB 2.3: Improving Columnar Compression for Time-Series on PostgreSQL
Always Be Launching

TimescaleDB 2.3: Improving Columnar Compression for Time-Series on PostgreSQL

26 May 2021 9 min read

TimescaleDB 2.3 makes built-in columnar compression even better by enabling inserts directly into compressed hypertables, as well as automated compression policies on distributed hypertables.

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