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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.
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Feb 17, 2026
Start on Postgres, scale on Postgres: TimescaleDB 2.25 delivers 289× faster queries, better chunk pruning, and lower-cost continuous aggregates at scale.
Feb 05, 2026
Hybrid search tutorial: combine vector embeddings, BM25 keyword search, and temporal filtering in PostgreSQL to eliminate stale results in RAG applications.
Feb 02, 2026
Stop managing multiple databases. Postgres extensions replace Elasticsearch, Pinecone, Redis, MongoDB, and InfluxDB with BM25, vectors, JSONB, and time-series in one database.
Jan 28, 2026
Manufacturing IoT optimization guide: tune TimescaleDB with hypertables, chunk intervals, continuous aggregates, and compression for high-frequency sensor data.
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.