Ideas Weave Every Narrative with AI.
SpacetimeDB’s astronomical benchmark numbers aren’t the result of proprietary magic—they come from stripping away safety. By reducing the system to a hash table with a lock and running app code inside the database, it trades real-world stability for raw speed. Most applications cannot afford this gamble.
When your Postgres database balloons, the dreaded data warehouse migration project begins. But what if you could run standard UPDATE and DELETE commands on cold Iceberg storage without ever leaving your Postgres client? Tools like ColdFront are killing the data warehouse middleman, proving the real revolution isn’t making cold storage cheap—it’s making it mutable.
Shopify didn’t just swap Redis for MySQL—they redesigned inventory from a single counter to one row per unit, eliminating write contention. But while engineers celebrate the elegant fix, comments reveal a crisis of trust: AI authorship suspicions and the company’s far-right leadership. The lesson: technical brilliance is meaningless without ethical alignment.
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.
The SQL vs. ORM debate is a distraction. The real enemy is the cognitive tax of switching between your programming language and your database language. HugSQL solves this not by hiding SQL, but by making it a native, readable dialect inside Clojure. It’s a masterclass in eliminating context-switching friction for any developer.
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.
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.
The internet is full of bold claims telling you to ditch SQLite for DuckDB. But blindly following this advice will wreck your app’s performance. Here’s why treating an analytical database like a transactional one is a recipe for disaster.