Product Overheard @ Office Hours A selection of FAQs from Timescale Office Hours. This week we discussed inserting data with Python, building indexes, and more.
Engineering Continuous aggregates: faster queries with automatically maintained materialized views TimescaleDB 1.3 introduces automated continuous aggregates, which can massively speed up workloads that need to process large amounts of data.
Engineering What is high cardinality, and how do time-series databases like InfluxDB and TimescaleDB compare? A look into what causes high-cardinality, and how time-series databases handle this problem.
Engineering Introducing Outflux: a smart way out of InfluxDB Migrate your workload from InfluxDB to TimescaleDB with just a single command
Company Introducing Flux compatibility for TimescaleDB Today we’re announcing Relational Flux (Reflux), our support of the Flux custom query language for time-series analysis.
Company Timescale & Microsoft Azure team up to power IoT and time-series workloads TimescaleDB on Azure PostgreSQL is a fully-managed, production-ready time-series database service that enables users to scale easily with built-in high-availability
Engineering Why you should use a relational database instead of NoSQL for your IoT application IoT data is complex and needs to be accessed by multiple users, so don’t make the mistake of creating data silos.
Company If PostgreSQL is the fastest growing database, then why is the community so small? The database king continues its reign. For the second year in a row, PostgreSQL is still the fastest growing DBMS, however, its community is not keeping pace.
Company Timescale raises another $15M for its leading time-series SQL database and introduces an enterprise offering 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
Product 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
Product Mind the gap: Using SQL functions for time-series analysis Write more efficient and readable queries with a new set of time-series analytic tools included in TimescaleDB 1.2
Product Harmonize your database performance with timescaledb-tune Tuning your TimescaleDB database is essential to leveraging your existing hardware. We built a tool to help you do just that.
Company A look back at 2018: Here’s what we accomplished in Timescale’s 2nd year Over 1 million downloads, 15 releases including 1.0, production deployments worldwide, the launch of the TSBS, and the release of the Timescale License
Company How we are building a self-sustaining open-source business in the cloud era 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.
Product TimescaleDB 1.1 performance optimizations and PG11 support (beta) New release includes beta support for PG11, as well as built-in optimizations and open-source tooling to improve performance.
Engineering Evaluating high availability solutions for TimescaleDB + PostgreSQL How we evaluated several third-party tools and ultimately selected Patroni as our preferred method.
Company 5 ways open source software companies make money 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).
Company What the heck is time-series data (and why do I need a time-series database)? This article is a primer on time-series data and why you may not want to use a “normal” database to store it.
Engineering How to use composite indexes to speed up time-series queries Appropriately ordered indexes can speed up queries, sometimes by orders of magnitude.
Product 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.
Product Grafana & TimescaleDB: Enhancing time-series exploration and visualization The new graphical query editor in Grafana v5.3 for PostgreSQL offers a visual interface and TimescaleDB compatibility.
Company Open-source and the demise of proprietary software 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.
Engineering How to manage Prometheus high-availability with PostgreSQL + TimescaleDB In this post, we describe how PostgreSQL + TimescaleDB can help with managing high-availability.
Company Space exploration and time-series data: Why the European Space Agency uses PostgreSQL Big, small, relational, time-series, & geospatial data — How the European Space Agency uses PostgreSQL & TimescaleDB for the “Digital Library of the Universe”.
Product Announcing TimescaleDB 1.0: The first enterprise-ready time-series database to support full SQL and scale 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.
