Timescale

Timescale is the modern cloud platform built on PostgreSQL for time series, events, and analytics. It is optimized for fast ingest and complex queries.

TimescaleDB is an open source time-series database engineered up from PostgreSQL and packaged as an extension. Unlike traditional RDBMS, TimescaleDB transparently scales up and out on single and multi-node deployments, respectively; unlike NoSQL databases, TimescaleDB natively supports all of SQL. TimescaleDB is distributed under the Apache 2 license.

03/14/2023

Thinking of migrating your data? Our new migration tool, Hypershift, simplifies and accelerates the process, but it also helps save your wallet. Hypershift enables compression on the fly, reducing storage costs by up to 95% while minimizing downtime and ensuring a seamless migration experience. Read more here and upgrade to Timescale Cloud with confidence and ease!

Safely migrating your data from Amazon RDS to Timescale Cloud is now simpler and quicker—there is a new migration tool in town, and it’s called Hypershift.

01/18/2023

More speed, less storage space, and utter coolness? Yes! Now, you don’t need to keep the raw dataset to continuously roll up data.

Check out how we made continuous aggregates even better in our latest blog post 👇

A continuous aggregate is similar to a PostgreSQL materialized view, speeding up queries. But rolling up (or downsampling) previously rolled up data can increase calculation speed while decreasing storage needs. Say hi to continuous aggregates on continuous aggregates, courtesy of Timescale 2.9.

01/11/2023

It’s not always easy to keep up with the newest PostgreSQL commits. That is why our dev advocate and PostgreSQL developer, Chris Travers, is happy to do the work for you!

Now that January’s commitfest is underway, here are the 6️⃣ most interesting patches from the previous commitfest:

From security to data encryption improvements, Chris Travers shares his PostgreSQL developer perspective on six of the latest commitfest patches.

12/06/2022

We just released a new version of the Timescale Cloud UI—a project that took us many months to complete. In our latest blog post, we take you on a journey through the evolution of our UI 💫 discussing our design principles and a few lessons we learned along the way.

Designing a delightful, user-centered UI is a huge part of building a seamless developer experience for time-series data. Join us on a journey through the evolution of the Timescale Cloud UI, as we share our latest upgrade and all the lessons we learned.

11/16/2022

Big news! 💥 Timescale Cloud now includes bottomless, consumption-based object storage built on Amazon S3!

What this means for you?

📈 Bottomless scalability. Having native access to a cloud-native object store means that you can seamlessly store a bottomless amount of time-series data in Timescale Cloud.

💰 Cost-efficient storage. This object storage layer is economical and consumption-based. You will pay only for what you store, with no extra charge per queries.

💻 Query S3 with SQL. To you, hypertables will continue to look like a single, unified whole. You can still query your tables using standard SQL, just like you are used to in PostgreSQL.

Join our private beta and test it today:

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

08/16/2022

How can companies with vast square footage optimize the use of their space based on data-driven decisions?

Read how Density provides sustainable solutions to this dilemma using IoT and TimescaleDB 👇

Read (and watch!) how Density is using IoT and TimescaleDB to solve a pressing problem, especially after the pandemic: how can companies with vast square footage optimize their space usage based on data-driven decisions?

07/15/2022

⚡ Supercharge your time-series and analytical SQL queries with TimescaleDB hyperfunctions. This array of 70+ built-in SQL functions within TimescaleDB simplify and speed up time-series and analytical queries.

Read our recent post to learn when, why and how to use hyperfunctions in your next analytics report, dashboard or time-series visualization.

As time-series data becomes more and more ubiquitous, there is a better way to explore it and analyze it with PostgreSQL: hyperfunctions. Learn how to ease your workload with faster and simpler time-series data analysis using TimescaleDB.

07/01/2022

Team Timescale is hiring! From Engineering to Product and Customer Care, all roles are 100% remote (and 100% awesome ✨).

Want to help us empower every developer to measure what matters in their world? We’d 💛 to hear from you.

See all open roles 👇
https://tsdb.co/timescale-careers-page

We're 100% remote and global. We have people from all over the world with diverse backgrounds contributing to our fun-loving culture. Check out our openings!

Address

335 Madison Avenue
New York, NY
10017

Website

http://www.timescale.com/

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