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.
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.
PostgreSQL vs Python for Data Evaluation: What, Why, and How
Get a primer on using TimescaleDB and PostgreSQL to more efficiently perform your data evaluation tasks - previously done in Excel, R, or Python. Complete with short SQL refresher section, along with 1-to-1 code snippets comparing TimescaleDB and PostgreSQL code against Python code.
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.