Read more
Built on PostgreSQL, Tiger Cloud combines robustness and flexibility to tame your most demanding workloads, from real-time analytics and IoT data to events and vector embeddings.
Receive the latest technical articles and release notes in your inbox.
Dec 18, 2025
Build custom TimescaleDB images for CloudNativePG: integrate pgvector and pgvectorscale with Kubernetes-native PostgreSQL for AI time-series applications.
Dec 11, 2025
Build a manufacturing IoT pipeline with TimescaleDB: create hypertables, ingest sensor data, enable hypercore compression, and run fast analytical queries.
Nov 26, 2025
TimescaleDB 2.22 & 2.23: 90× faster DISTINCT queries, zero-config hypertables, UUIDv7 partitioning, Postgres 18 support, and configurable columnstore indexes.
Nov 18, 2025
Tiger Cloud brings full TimescaleDB to Azure: queries up to 200× faster than Azure Database for PostgreSQL, 95% compression, sub-10ms response times.
Sep 19, 2025
Learn how TimescaleDB's SkipScan transforms DISTINCT queries from multi-second waits to milliseconds by jumping between values instead of scanning every row.
Sep 11, 2025
Tiger Data introduces Phased Rollouts, a safer upgrade process for all TimescaleDB services on Tiger Cloud providing a 3-week validation period between dev and production deployments.
Sep 09, 2025
Direct Compress delivers up to 40x faster data ingestion for TimescaleDB by compressing time-series data in memory during insertion, eliminating background jobs.
Sep 04, 2025
In this post, Nakylai Taiirova shows how TimescaleDB solved Postgres performance issues: 83% storage reduction, 979x faster queries, and seamless SQL compatibility for time-series data.
