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TimescaleDB 2.0: A multi-node, petabyte-scale, completely free relational database for time-series
Blog

TimescaleDB 2.0: A multi-node, petabyte-scale, completely free relational database for time-series

After two years of dedicated engineering and user feedback, TimescaleDB 2.0 is finally here, setting a new bar for time-series databases – and it’s completely free.

  • Ajay Kulkarni
    Ajay Kulkarni
  • Mike Freedman
    Mike Freedman
15 min read
How we are building a self-sustaining open-source business in the cloud era (version 2)
Blog

How we are building a self-sustaining open-source business in the cloud era (version 2)

We're excited to announce an update to the Timescale License that provides expanded rights to our users. Learn how (and why) we're making all of our features 100% free and investing in our community – while still building a sustainable open-source business.

  • Ajay Kulkarni
    Ajay Kulkarni
  • Mike Freedman
    Mike Freedman
12 min read
TimescaleDB vs. InfluxDB: Purpose built differently for time-series data
Product & Engineering

TimescaleDB vs. InfluxDB: Purpose built differently for time-series data

An in-depth look into how two leading time-series databases stack up in terms of data model, query language, reliability, performance, ecosystem, operational management, and company/community support.

  • Mike Freedman
    Mike Freedman
  • Avthar Sewrathan
    Avthar Sewrathan
26 min read
13 tips to improve PostgreSQL Insert performance
Engineering

13 tips to improve PostgreSQL Insert performance

Some of these may surprise you, but all 13 ways will improve ingest (INSERT) performance using PostgreSQL and TimescaleDB (and help you get ingest rates similar to our benchmark blog posts 🎊)

  • Mike Freedman
    Mike Freedman
8 min read
Achieving the best-of-both worlds:  Ensuring up-to-date results with Real-Time Aggregation
Blog

Achieving the best-of-both worlds: Ensuring up-to-date results with Real-Time Aggregation

Real-time aggregates (released with TimescaleDB 1.7) build on continuous aggregates' ability to increase query speed and optimize storage. Learn what's new, details about how they work, and how to get started.

  • Sven Klemm
    Sven Klemm
  • Mike Freedman
    Mike Freedman
14 min read
CTO Corner: this month in data (April 2020 edition)
Blog

CTO Corner: this month in data (April 2020 edition)

Mike Freedman, Timescale CTO, shares some of the most interesting articles and papers about databases and distributed systems he's found in the past month.

  • Mike Freedman
    Mike Freedman
3 min read
Building columnar compression in a row-oriented database
Blog

Building columnar compression in a row-oriented database

How we achieved 91%-96% compression in the latest version of TimescaleDB

  • Mike Freedman
    Mike Freedman
14 min read
Building a distributed time-series database on PostgreSQL
Blog

Building a distributed time-series database on PostgreSQL

Today we are announcing the distributed version of TimescaleDB, which is currently in private beta (public version slated for later this year).

  • Mike Freedman
    Mike Freedman
  • Erik Nordström
    Erik Nordström
17 min read
TimescaleDB 1.2: Analytical functions, automated data lifecycle management, improved performance, and more
Blog

TimescaleDB 1.2: Analytical functions, automated data lifecycle management, improved performance, and more

Milestone release includes open-source improvements as well as our first community and enterprise features

  • Mike Freedman
    Mike Freedman
6 min read
TimescaleDB 1.0 is production ready
Blog

TimescaleDB 1.0 is production ready

Since announcing our first release candidate in September, Timescale’s engineering team has merged over 50 PRs to harden the database, improving stability and ease-of-use.

  • Mike Freedman
    Mike Freedman
5 min read
Time-series data: Why (and how) to use a relational database instead of NoSQL
Blog

Time-series data: Why (and how) to use a relational database instead of NoSQL

These days, time-series data applications (e.g., data center / server / microservice / container monitoring, sensor / IoT analytics, financial data analysis, etc.) are proliferating.

  • Mike Freedman
    Mike Freedman
14 min read
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