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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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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.
Dec 22, 2025
Agentic AI requires forkable state: comparing Replit's object storage approach and Tiger's block storage architecture for fast, safe database experimentation.
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.
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.
