Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

Two major milestones: finalizing my database choice and successfully running a local model for data extraction.

MongoDB said additional partners and offerings are expected to be added to the startup program over time.

Graph database expert Marko Budiselić has some thoughts on why it's time to be more data source ecumenical. Coming from the world of graph technology, ...

SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, ...

Abstract: This paper uses Physics-Informed Neural Network (PINN) to design Frequency Selective Surface (FSS). PINN integrates physical information into the loss function, so training PINN does not ...

A comprehensive Model Context Protocol (MCP) server for SQL Server database operations. This server provides 10 powerful tools for database analysis, object discovery, and data manipulation through ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

Meet NoDB, an open source Airtable alternative that builds REST endpoints and SDKs, so your team moves faster without monthly ...

DuckDB has recently introduced end-to-end interaction with Iceberg REST Catalogs directly within a browser tab, requiring no ...

Bun 1.3 revolutionizes full-stack JavaScript development with unified database APIs and zero-config frontend setup. Experience enhanced performance with built-in Redis support and optimized bundling.