Ideas Weave Every Narrative with AI.
When your database hits 40TB, the panic to stitch together cloud volumes blinds you to the real threat. The true bottleneck isn’t raw storage capacity—it’s I/O throughput. By isolating components like pg_wal onto dedicated volumes, you can eliminate hidden write amplification that silently eats 20-30% of your performance.
Denormalization has always been a necessary evil — until now. A new Postgres extension lets you define derived columns declaratively, eliminating triggers, race conditions, and ad-hoc sync logic. It’s a principled approach that turns a fragile chore into a safe, schema-enforced declaration. Get started in 10 minutes.
After 15 years of using Excel as a database, I finally migrated to Postgres in a weekend. The key wasn’t learning SQL—it was using AI to bridge the gap. This article explores why Excel’s zero-friction becomes a fatal flaw at scale, how AI now makes databases accessible to everyone, and why you should stop suffering and make the switch.
Conventional wisdom says databases can’t handle queues. That was a lie from 2012. Modern Postgres, with SKIP LOCKED and LISTEN/NOTIFY, can handle tens of thousands of messages per second, eliminating the need for separate message brokers like Kafka or Redis for most applications. The real cost of adding a separate queue is operational complexity and transactional inconsistency. Stop adding infrastructure. Use what you already own.
A Rust rewrite of Postgres that ditches the legacy process-per-connection model, adopts threads and direct-to-binary codegen, and integrates Arrow/SIMD. The result: a single database that outperforms both Postgres and ClickHouse. The language is just the enabler—the real breakthrough is architectural.
Turso is building a universal database engine that speaks SQLite and Postgres from a single Rust backend. This decoupling of front-end dialects from the underlying storage engine means the database wars are over. The future belongs to whoever delivers the best edge distribution and storage economics, not the best SQL dialect.
pg_stat_ch bypasses the bloated OpenTelemetry pipeline to push Postgres metrics directly into ClickHouse. It sacrifices interoperability for raw speed, proving that sometimes the best architecture is the one with the fewest moving parts.
Most developers assume catching Postgres connection pressure requires a complex observability stack. pgwd proves that a single Go binary and a cron job is all you need to catch database saturation before it takes down your app, challenging the ‘more is better’ monitoring dogma.
Building modern AI apps usually means stitching together a nightmare of Postgres, vector databases, and graph stores. Polygres proves you don’t need them. By extending Postgres to handle relational, graph, vector, and full-text search in one place, it eliminates data silos, slashes latency, and ends the multi-database complexity scam.
Postgres 19 introduces native property graphs directly into the SQL kernel, eliminating the need for separate graph databases for most applications. This isn’t just a new feature—it’s a quiet paradigm shift that forces developers to rethink data modeling, architecture complexity, and operational overhead. The era of juggling relational and graph stores is ending.