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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 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 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.
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.
Dec 10, 2025
Tiger CLI + MCP server: Let AI manage databases, fork instantly, search Postgres docs, and run queries—all from your coding assistant without context switching.
Dec 02, 2025
See how Tiger Data and AWS deliver a unified Postgres data layer with time-series, vector search, native S3 ingest, and Iceberg lakehouse integration.
Nov 24, 2025
pg-aiguide teaches AI to write production-ready Postgres code with curated skills, semantic search, and version-aware docs. Open source and free to use.
Oct 23, 2025
pg_textsearch brings BM25 ranking to enable hybrid search to Postgres. Build RAG systems with keyword precision and vector semantics in one database.
