As fintech platforms grow, the mix of performance tuning and security oversight becomes harder to manage manually. Systems ...

The structured query language is a powerful tool for connecting to many database systems that store data in tables organized into rows and columns. It's often used on the backend of business websites ...

As SQL Server 2016 approaches end of support in July 2026, a look back at its groundbreaking innovations reveals how it reshaped Microsoft's data platform and why it's time to move forward.

For most enterprise applications, vector support is a feature that should be woven into the existing data estate, not a ...

Progress Software Corporation ( PRGS) Discusses High-Performance Multi-Database Connectivity and WinSQL Features May 7, 2026 1:00 PM EDT ...

With version 2.0, the open-source database Dolt brings vector data, adaptive storage for large values, and a new storage ...

If you are building a simple dashboard or a form-based application, the traditional JSON API (REST or GraphQL) approach is ...

Storm-2949 turned stolen credentials into a cloud-wide breach, moving from identity compromise to large-scale data theft ...

Google is encouraging its database developers to lean "heavily" on AI coding tools as it ramps up contributions to open ...

Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private ...

I’ve spent a lot of time inside enterprise AI deployments, and one thing that has become clear is that IT departments are ...

IEEE research highlights multi-model databases outperform single-model systems, reducing AI costs, latency, and schema issues through better data architecture design.