Joins on billion-row Postgres tables crush real-time dashboards. Flatten your schema to cut shared buffer hits 70–90% and restore dashboard speed.

There's a category of Postgres performance issue that no amount of tuning will fix. Here's how to tell if you're already in it.

Your append-only table doesn't need autovacuum. It runs anyway. Here's what that actually costs your team.

Working SQL examples for replacing Elasticsearch, Pinecone, InfluxDB, Redis, and more, using Postgres extensions you can enable today.

For IIoT engineers: a personal take on integrating HiveMQ and TimescaleDB. One Postgres connector, no custom pipeline, no extra database to run.

Random UUIDv4 keys cause B-tree page splits and bloat indexes up to 35%. See how UUIDv7's time-ordered IDs keep Postgres ingestion fast at scale.

Optimization problems stay fixed. Architectural ones come back. A framework for knowing which you're dealing with before you've spent months on the wrong fix.

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.

How the Embodied Carbon Observatory uses TimescaleDB to cut queries from 6s to under 100ms, separating real decarbonization from grid improvement.

TimescaleDB 2.26 delivers 3.5x faster time_bucket() aggregations, 70x faster summary queries, and 2x faster multi-column lookups. No query rewrites needed.

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.

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.

Ignition's SQL Historian stores tag data in Postgres, which isn't built for time-series workloads. TimescaleDB fixes that in the storage engine.

How one developer built an open-source log management platform handling 5M logs/day on minimal hardware—using TimescaleDB continuous aggregates, compression, and hypertables.

ClickHouse is fast. But the pipeline tax, ACID trade-offs, and two-system overhead are part of the decision too. Here's the full picture.

Benchmark data showing how TimescaleDB expands PostgreSQL ingest capacity, query speed, and storage efficiency for IIoT workloads at scale.

Every index on a Postgres table multiplies your write I/O. Past 500M rows, that tax becomes a crisis. Learn to find zombie indexes and fix write amplification.

Dead tuples pile up faster than autovacuum can clean them at high ingestion rates. Learn how to measure table bloat and tune autovacuum before it tanks your Postgres performance.

Built something real with TimescaleDB? Tiger Data's Community Spotlight series features open source projects—no paid relationship needed. Share your story and we'll write it up.

Migration cost scales with data volume. The optimization tax you pay while waiting scales faster.

Read replicas fix read contention. They don't fix write throughput. Here's the mechanical reason why, and what actually changes the trajectory.

Hardware upgrades help IIoT query speeds but barely move ingest capacity. The bottleneck is I/O, not compute. Here's the data to prove it.

Learn why database performance falls off a cliff when your working set exceeds RAM—and three strategies to survive it, from vertical scaling to columnar compression.

Cactos cut database costs 55% by migrating from Amazon RDS to Tiger Cloud. See how the battery storage company made the move.

Most MongoDB pain isn't a MongoDB problem. It's a workload shape problem that would follow you to Postgres.

pg_textsearch 1.0 brings native BM25 search to Postgres. No Elasticsearch sidecar needed. Learn how it works and see benchmarks vs. ParadeDB at 138M documents.

Peak throughput tells you what Postgres can do in a sprint. Production asks what it can do forever. Those are different questions.

Real-world forensic investigation of the Trivy supply chain compromise using RSigma: detecting credential theft across 300K audit events without a SIEM in hours, not days.

Wildcard queries can reduce performance by 90% in high-volume databases. Learn how SELECT * wastes I/O, pollutes cache, and increases serialization costs in billion-row tables.

VesselAPI migrated 700K AIS position reports per hour from MongoDB to TimescaleDB—and learned how hexagonal indexing, hypertables, and one struct tag change everything.