Timescale vs. Amazon RDS PostgreSQL: Up to 350x Faster Queries, 44 % Faster Ingest, 95 % Storage Savings for Time-Series Data
Why are developers migrating from Amazon RDS for PostgreSQL to Timescale to handle their time-series data workloads? Our benchmark answers the question: faster queries, faster ingest, and 95 % storage savings for time-series data.
Read Before You Upgrade: Best Practices for Choosing Your PostgreSQL Version
PostgreSQL upgrades have been known to be a bit of a controversial issue in the community. In this article, we will take the mystery out of the question of when an upgrade is appropriate and how Timescale allows you to do it as swiftly as possible.
A PostgreSQL Developer's Perspective: Five Interesting Patches From September's Commitfest
Welcome to our new blog series! Every other month, Timescale’s developer advocate, Chris Travers, will use his PostgreSQL developer perspective to feel the pulse of the beloved database by looking into new commitfest patches.
How United Manufacturing Hub Is Introducing Open Source to Manufacturing and Using Time-Series Data for Predictive Maintenance
Read how United Manufacturing Hub is building an open-source Helm chart for Kubernetes that combines information and operational tools and technologies in the manufacturing field—and why they chose TimescaleDB over InfluxDB to do it.
Database Indexes in PostgreSQL and Timescale: Your Questions, Answered
Few features raise more questions than database indexes in the PostgreSQL landscape. Since Timescale Cloud is built on PostgreSQL, we often get questions on the topic. Read this blog post to see all your FAQs about indexing answered.
PostgreSQL + TimescaleDB: 1,000x Faster Queries, 90 % Data Compression, and Much More
TimescaleDB expands PostgreSQL query performance by 1,000x, reduces storage utilization by 90%, and provides time-saving features for time-series and analytical applications—while still being 100% Postgres.