Data Management | News, how-tos, features, reviews, and videos
Five essential strategies to reduce costs, avoid licensing risk, simplify operations, and future-proof your data infrastructure for the AI era.
Get the scoop on the most recent ranking from the Tiobe programming language index, learn a no-fuss way to distribute DIY tooling across Python projects, and take a peek at ComfyUI: interactive, node-based tools for generative AI workloads in Python.
User engagement metrics do not care about the complexity of your AI model. They care about latency.
An open letter signed by architects, DBAs, and engineers argues that closed development, missing AI‑era features, and declining commits demand a foundation-led model that includes Oracle but restores roadmap transparency.
How deep learning, generative models and trust scoring are transforming modern data systems.
SQLite has its place, but it’s not fit for every occasion. Learn how to set up install-free versions of MariaDB, PostgreSQL MongoDB, and Redis for your development needs.
The jury’s out on screen scraping versus official APIs. And the truth is, any AI agent worth its salt will likely need a mixture of both.
Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice when building microservices.
While PostgreSQL has thrived in recent years, MySQL has languished. MySQL backers are coming together to change that.