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

AI agents can’t just guess what your data means; they need an "ontology" to act as a shared rulebook so they don't make ...

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

New research exposes how prompt injection in AI agent frameworks can lead to remote code execution. Learn how these ...

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

The WIM publish rate is 2 Hz to keep dashboards and the database responsive; that is adequate for traceability but maybe not ...

Data Volume. Cloud usage generates data at a per-hour level that leads to volumes of data that can reach ~150TB, making it ...

An emerging class of data fabrics promises to help automate data integration with and for AI. Bharath Thota, a partner in the ...

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

Umami 3.1.0 brings configurable dashboards, session replays, and Core Web Vitals tracking for privacy-friendly web analysis.

ddl2data turns SQL DDL, a live relational schema, or a live DynamoDB table schema into fake but structured data that is useful for load tests, end-to-end pipeline checks, local development, and ...

Abstract: Although significant progress has been made in Text-to-SQL technology, existing methods still face challenges: insufficient adaptability between examples and the specific database schema, ...