A database knows where your data is. A vector database understands what your data means. It finds information based on similarity and meaning, not just exact keywords, powering semantic search, RAG, recommendations, and agent memory. See how it works:

Every database writes, stores, and reads data. So why do you need to pick between 50 different ones? The key is the layout and performance of that database. Do you want it to write fast or read fast? Do you want to know which user placed which order or do you want to sum and count all orders. @dumkydewilde tells you why you need another ducking database, and what kind of performance optimizations and tricks @duckdb uses to be both fast and cheap. In the end the useful question is not which database is best. It's which question you are going to ask a thousand times a day.

A Federal Reserve database used by U.S. regulators to monitor banks went offline for more than 24 hours last month. The outage affected the National Information Center, which is used by the Fed, FDIC and OCC to share and monitor bank data. An internal notice said failed data pipelines caused downstream disruption across multiple Fed business areas, including the discount window. Source: WSJ

🚨 NEW DATABASE LAUNCHED: A searchable database of pro-Israel political money in U.S. politics. It includes: • 11,168 named donors (searchable + employer) • 523 members of Congress and the money behind each one • Senate and House votes on resolutions to block arms transfers • 165 candidates the network built fundraising pages for • 105 recipient committees in Democracy Engine conduit data, each row linked to its FEC filing • Full methodology, sources, and member-by-member reconciliation The site is also translated into 25 languages. They encourage users to look up their own representatives. Circulating widely.