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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 12, 2026
When Postgres tuning won't fix performance: recognize the six characteristics of time-series workloads that need TimescaleDB's purpose-built architecture.
Feb 09, 2026
Build hybrid search in Postgres with pg_textsearch BM25, pgvectorscale vectors, and RRF. Auto-sync embeddings with pgai—no Elasticsearch pipeline needed.
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 30, 2026
Why Elasticsearch is complex in production: garbage collection, shard math, data sync pipelines, and monitoring overhead. Postgres with pg_textsearch simplifies search.
Jan 28, 2026
Manufacturing IoT optimization guide: tune TimescaleDB with hypertables, chunk intervals, continuous aggregates, and compression for high-frequency sensor data.
Jan 14, 2026
Top 9 PostgreSQL extensions in 2026: TimescaleDB, pgvector, pgai, PostGIS, and more, with before/after examples.
Dec 23, 2025
You don't need Elasticsearch: BM25 is now in Postgres with pg_textsearch. Get better search rankings with term frequency, IDF, and length normalization.
