Q&A with Michael Sick of Ernst & Young
Icon Ventures leads a new round of funding for Timescale to develop the foundational technology for businesses storing, analyzing, and acting on time-series data
Milestone release includes open-source improvements as well as our first community and enterprise features
Write more efficient and readable queries with a new set of time-series analytic tools included in TimescaleDB 1.2
Tuning your TimescaleDB database is essential to leveraging your existing hardware. We built a tool to help you do just that.
Over 1 million downloads, 15 releases including 1.0, production deployments worldwide, the launch of the TSBS, and the release of the Timescale License
Today, we are announcing that we have started developing new open-code (or source-available) features that will be made available under the (also new) Timescale License (TSL). You will be able to follow the development of these features on our GitHub.
New release includes beta support for PG11, as well as built-in optimizations and open-source tooling to improve performance.
How we evaluated several third-party tools and ultimately selected Patroni as our preferred method.
A guide on how to evaluate the long-term sustainability of the business behind any open-source software you are using (or considering working on yourself).
This article is a primer on time-series data and why you may not want to use a “normal” database to store it.
Appropriately ordered indexes can speed up queries, sometimes by orders of magnitude.
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.
The new graphical query editor in Grafana v5.3 for PostgreSQL offers a visual interface and TimescaleDB compatibility.
RedHat, Elastic, MongoDB, Github, Pivotal, Greenplum, and more: Open-source software has finally come of age, is reshaping the entire software industry as we know it. Here’s why.
In this post, we describe how PostgreSQL + TimescaleDB can help with managing high-availability.
Big, small, relational, time-series, & geospatial data — How the European Space Agency uses PostgreSQL & TimescaleDB for the “Digital Library of the Universe”.
Over 1M downloads; production deployments at Comcast, Bloomberg, Cray, and more; native Grafana integration; first-class Prometheus support; and dozens of new features signify positive momentum for TimescaleDB and the future of the time-series market.
As of version 0.12, TimescaleDB will come with opt-out, non-personally identifiable telemetry and version checking.
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.
Taking the BS out of benchmarking with a new framework released by TimescaleDB engineers to generate time-series datasets and compare read/write performance of various databases.
An examination of the strengths and weaknesses of SQL, and why query planners exist, by way of comparing TimescaleDB and InfluxDB.
How to use Prometheus, PostgreSQL + TimescaleDB, and Grafana for storing, analyzing, and visualizing metrics.
How 0.10 introduces 15x improvements in query planning times.
How a 5 node TimescaleDB cluster outperforms 30 Cassandra nodes, with higher inserts, up to 5800x faster queries, 10% the cost, a more flexible data model, and of course, full SQL.
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