Savings Unlocked: Why We Switched to a Pay-For-What-You-Store Database Storage Model

You can now tier data to object storage in Timescale Cloud for low-cost, infinite database scalability. Keep accessing your data seamlessly via your hypertable with no extra charge per query.
They’re so fast we can’t catch up! Check out our benchmarks with two datasets to learn how we used continuous aggregates to make queries up to 44,000x faster, while requiring 60 % less storage (on average).
Learn how observability powered by SQL can help you unveil performance issues in your distributed systems, courtesy of the now generally available OpenTelemetry tracing support in Promscale.
Timescale Cloud now supports database replication, allowing you to significantly reduce potential downtime in your production database in case of failure and to improve performance through the use of read replicas.
Timescale 2.6 is now available, introducing two highly requested features by our community: compression for continuous aggregates and timezone support for continuous aggregates (the latter under experimental).
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.
With this release, we introduce continuous aggregates in multi-node TimescaleDB, support for Postgres 14, and support for time zones in time_bucket_ng (under experimental).
Today we are releasing function pipelines, a new feature that allows you to analyze data by composing multiple functions in SQL - introducing a simpler, cleaner way of expressing complex logic in PostgreSQL.
To reinforce our commitment to moving fast and not breaking things, we are introducing a new experimental schema for TimescaleDB as part of our release of TimescaleDB 2.4. Read on for more about how Timescale resolves the tension between rapid innovation and stability.
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.
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.
Introducing Promscale 0.4 with new capabilities including better support for Prometheus high-availability, support for multi-tenancy, improved user permissions (using role-based access control), and more.