links.lmorchard.com - #db /tags/db/ Recent bookmarks tagged #db Mon, 02 Nov 2026 08:24:53 +0000 schapman1974/briskdb: Ordinary SQLite files, one sharded database—parallel writes, PostgreSQL, HTTP, Rust, Python, and shard-safe IDs. https://github.com/schapman1974/briskdb Ordinary SQLite files, one sharded database—parallel writes, PostgreSQL, HTTP, Rust, Python, and shard-safe IDs.<br/> <p><strong>Tags:</strong> #database #db #dev #sqlite</p> Tue, 18 Aug 2026 03:24:18 +0000 linkding-ssg:bookmark:38688 database db dev sqlite sohzm/jasonisnthappy: simple, embeddable document database with acid guarantees https://github.com/sohzm/jasonisnthappy A lightweight, embedded document database written in Rust with ACID transactions and MVCC support.<br/> <p><strong>Tags:</strong> #data #db #mongodb #rust #sqlite</p> Sat, 07 Feb 2026 04:48:58 +0000 linkding-ssg:bookmark:38290 data db mongodb rust sqlite Using PostgreSQL as a Dead Letter Queue for Event-Driven Systems — Blog https://www.diljitpr.net/blog-post-postgresql-dlq The goal was never to replace Kafka with PostgreSQL. Kafka remained the backbone for high-throughput event ingestion, while PostgreSQL handled what it does best—durability, querying, and observability around failures. By letting each system play to its strengths, we ended up with a pipeline that was resilient, debuggable, and easy to operate. In the end, using PostgreSQL as a Dead Letter Queue turned failure handling into something boring and predictable. And in production systems, boring is exactly what you want.<br/> <p><strong>Tags:</strong> #db #events #kafka #postgresql</p> Mon, 26 Jan 2026 04:19:20 +0000 linkding-ssg:bookmark:38231 db events kafka postgresql