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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 19, 2026
How Glooko processes 100M+ daily glucose readings with Tiger Data: 95% compression, 480× faster queries, and 40% lower costs on unified Postgres architecture.
Feb 18, 2026
Stress test your PostgreSQL IIoT database to identify bottlenecks, optimize performance, and prevent failure. Learn how to break it safely and design with margin.
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 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.