Year of the Tiger: $110 million to build the future of data for developers worldwide
Timescale just raised $110 million in our Series C, led by Tiger Global alongside all existing investors: Benchmark, New Enterprise Associates, Redpoint Ventures, Icon Ventures, and Two Sigma Ventures.
Announcing the New Timescale, and a New Vision for the Future of Database Services in the Cloud
Timescale 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.
Move Fast, but Don’t Break Things: Introducing the Experimental Schema (With New Experimental Features) in TimescaleDB 2.4
To reinforce our commitment to moving fast and not breaking things, we are introducing a new experimental schema as part of our release of TimescaleDB 2.4.
Introducing Hyperfunctions: New SQL Functions to Simplify Working With Time-Series Data in PostgreSQL
TimescaleDB hyperfunctions are pre-built functions for the most common and difficult queries that developers write today in TimescaleDB and PostgreSQL. Hyperfunctions help developers measure what matters in time-series data, which generates massive, ever-growing streams of information.
Announcing Automated Disk Management: Safely Managing Your Cloud Database
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.
Time-Series Analytics for PostgreSQL: Introducing the Timescale Analytics Project
We're excited to announce Timescale Analytics, a new project focused on combining all of the capabilities SQL needs to perform time-series analytics into one Postgres extension. Learn about our plans, why we're sharing it now, and ways to contribute your feedback and ideas.
TimescaleDB vs. Amazon Timestream: 6,000x Higher Inserts, 5-175x Faster Queries, 150-220x Cheaper
Our TimescaleDB vs Amazon Timestream results surprised us, but even after testing several configurations, we found Timestream slow, expensive, and missing key database capabilities like backups, restores, updates, and deletes.
TimescaleDB 1.7: fast continuous aggregates with real-time views, PostgreSQL 12 support, and more Community features
We're excited to announce TimescaleDB 1.7, which includes two major updates: PostgreSQL 12 support and Real-time Aggregates, as well as new capabilities in our Community edition 🥳! Get a quick look at what's new and how to get started.