Product Updates
What’s New in TimescaleDB 2.8?
Engineering
How We Made Data Aggregation Better and Faster on PostgreSQL With TimescaleDB 2.7
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).
Observability
Observability Powered by SQL: Understand Your Systems Like Never Before With OpenTelemetry Traces and PostgreSQL
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.
Cloud
High Availability for Your Production Environments: Introducing Database Replication in Timescale Cloud
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.
General
Increase Your Storage Savings With TimescaleDB 2.6: Introducing Compression for Continuous Aggregates
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).
Announcements & Releases
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.
Always Be Launching
Massive Scale for Time-Series Workloads: Introducing Continuous Aggregates for Distributed Hypertables in TimescaleDB 2.5
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).
Always Be Launching
Function Pipelines: Building Functional Programming Into PostgreSQL Using Custom Operators
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.
Announcements & Releases
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 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.
Always Be Launching
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.
Always Be Launching
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.
Observability
Promscale 0.4: Drawing Inspiration from Cortex to Rewrite Support for Prometheus High-Availability
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.
Observability
Introducing Tobs: Deploy a Full Observability Suite for Kubernetes in Two Minutes
Tobs deploys a full open-source observability suite into your Kubernetes cluster with a single command. Learn how and why we built it and start collecting, analyzing, and visualizing all of your metrics in a matter of minutes ⏰ .
