Mike Freedman - Timescale Blog

Expanding the Boundaries of PostgreSQL: Announcing a Bottomless, Consumption-Based Object Storage Layer Built on Amazon S3

16 Nov 2022 10 min read

Timescale Cloud now offers consumption-based, low-cost object storage built on Amazon S3, giving you more tools to build scalable applications cost-efficiently.

One-Click Multi-Node TimescaleDB: Announcing the Support for Multi-Node Deployments in Timescale Cloud

1 Nov 2021 7 min read

Timescale Cloud now supports the fast and easy creation of multi-node deployments, enabling developers to easily scale the most demanding time-series workloads.

Announcing the New Timescale Cloud, and a New Vision for the Future of Database Services in the Cloud

5 Oct 2021 13 min read

Timescale Cloud provides a balance between a familiar developer platform and a flexible database for modern applications while retaining the ease and scalability of modern cloud services.

Announcing Automated Disk Management: Safely Managing Your Cloud Database

27 May 2021 10 min read

To close out our final week of “Always Be Launching” month, we are announcing “Automated Full Disk Management” for Timescale Cloud, a new capability to ease operational overhead, protect against unforeseen overages, and keep your database up and running.

Announcing Explorer: A better way to understand your cloud database

7 May 2021 8 min read

We're excited to share “Explorer”, a new feature in our cloud-native database service designed to be your easy-to-use “operations center." Learn how it works, why we built it, and how to get started.

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

29 Oct 2020 15 min read

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.

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

24 Sep 2020 12 min read

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.

TimescaleDB vs. InfluxDB: Purpose Built Differently for Time-Series Data

3 Aug 2020 26 min read

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.

13 tips to improve PostgreSQL Insert performance

29 Jun 2020 8 min read

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 🎊)

Achieving the Best of Both Worlds: Ensuring Up-To-Date Results With Real-Time Aggregation

7 May 2020 14 min read

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.

CTO Corner: This Month in Data (April 2020 Edition)

7 Apr 2020 3 min read

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.

Building columnar compression in a row-oriented database

31 Oct 2019 14 min read

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

Building a distributed time-series database on PostgreSQL

21 Aug 2019 17 min read

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

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

29 Jan 2019 6 min read

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

TimescaleDB 1.0 is production ready

30 Oct 2018 5 min read

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.

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

20 Apr 2017 14 min read

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