#Postgres
6 related articles
Why Do All AI Agents Love Supabase?
Supabase founders Paul Copplestone and Ant Wilson explain why AI agents favor Supabase: Postgres as a memory layer, pgvector unifying vectors and structured storage, open-source portability, and the compound effect of general capabilities like row-level security in agent scenarios.
AI Reviewers Surface a Flood of Bugs, Forcing Postgres 19 to Delay Release
Postgres 19 delayed as AI code review tools found more bugs than humans could fix. We analyze AI review's strengths, the fix bottleneck's roots, and the deeper impact on open source collaboration.
Loading TB-Scale Data in Minutes: How Lakebase Postgres Bulk Loading Works
Lakebase Postgres enables TB-scale data loading in minutes, solving the bulk ingestion bottleneck for operational databases. Learn how it works and when to use it.
Lakebase Postgres Tuning: Raising shared_buffers to 75% of DRAM Doubles Throughput
Lakebase sets shared_buffers to 75% of DRAM and disables local file cache on CU≥80 Postgres instances, doubling throughput in production by keeping hot pages in low-latency memory.
Lakebase Postgres Cost Optimization: A Practical Guide
Lakebase is a fully managed Postgres database. This guide breaks down its cost structure and offers actionable strategies for elastic scaling, disaggregated compute, data lifecycle management, and query optimization.
Lakebase Search Goes GA: Native Vector and Full-Text Search for Postgres
Databricks' Lakebase Search is now GA, bringing scalable vector search and BM25 full-text search natively into Postgres — claimed to be 4x cheaper than pgvector with true pay-as-you-go pricing.