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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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Apr 24, 2026
Normalized schemas create latency at scale. This guide shows when to flatten your tables and use columnar compression to cut join overhead and reclaim query speed.
Apr 23, 2026
How the Embodied Carbon Observatory uses TimescaleDB to cut queries from 6s to under 100ms, separating real decarbonization from grid improvement.
Apr 22, 2026
TimescaleDB 2.26 delivers 3.5x faster time_bucket() aggregations, 70x faster summary queries, and 2x faster multi-column lookups. No query rewrites needed.
Apr 20, 2026
Every 1 KB insert in Postgres becomes ~2.5 KB of committed I/O before it's done. Here's where the multiplier comes from, and where the tuning knobs run out.
Apr 20, 2026
Most search stacks run four systems to answer one question. You don't need any of them. Build production hybrid search in Postgres with pg_textsearch for BM25, pgvectorscale for vector similarity, and Reciprocal Rank Fusion to combine them. One query. One database.
Apr 17, 2026
Ignition's SQL Historian stores tag data in Postgres, which isn't built for time-series workloads. TimescaleDB fixes that in the storage engine.
Row-level DELETE generates massive WAL volume and autovacuum backlogs at scale. Learn how partition-based retention drops 90 days of data in milliseconds—no dead tuples, no cron jobs.
Apr 15, 2026
How one developer built an open-source log management platform handling 5M logs/day on minimal hardware—using TimescaleDB continuous aggregates, compression, and hypertables.
