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Composite indexes charge every insert and pay back only some queries. Four steps to price both sides and audit the indexes you already run.
By NanoHertz Communications
September 18th, 2026
How Companion.energy optimized real-time energy data: 25x faster queries, 43.5x compression, continuous aggregates, and unified Tiger Cloud architecture.
By Tristan Vermeesch
August 31st, 2026
Time-series cardinality benchmark: one new indexed column costs 29× more than 1M new rows. Solve with metadata tables and avoid the planner estimation cliff.
By Damaso Sanoja
August 28th, 2026
TimescaleDB's DeferredChunkAppend keeps planning time constant for ORDER BY LIMIT queries, no matter how many chunks a hypertable has.
By Sven Klemm
August 27th, 2026
Built for industrial, energy, and robotics systems. Run high-ingest telemetry and real-time analytics on the Postgres you already know.
The bottleneck isn't the brain. It's dexterity, reliability, and data, which is why purpose-built robots are winning first.
By Matty Stratton
August 25th, 2026
How to tell if your slow Postgres query is a planning or execution problem: read EXPLAIN ANALYZE's Planning Time and Execution Time to diagnose the bottleneck.
By NanoHertz Communications
August 21st, 2026
TimescaleDB continuous aggregates and late-arriving data: invalidation tracking, lookback windows, and the two offsets that prevent stale aggregate buckets.
By Damaso Sanoja
August 14th, 2026
Your slowest query is rarely your most expensive. See how pg_stat_statements ranks queries by total cost and exposes planning time that mean latency hides.
By NanoHertz Communications
August 7th, 2026
Industrial IoT on TimescaleDB: ControlCom streams 1K-10K points/sec from thousands of assets, powering instant dashboards and AI that caught $160K billing errors.
By Andrew Stebbins
August 6th, 2026
IIoT in manufacturing generates high-frequency sensor data most databases can't handle. See the 5 trends, the data-layer fixes, and real customer examples.
By Doug Pagnutti
August 6th, 2026
