How schema-aware AI SQL tools are reducing query failures, improving accuracy rates up to 90%, and helping non-technical teams access enterprise data without waiting for analysts. AI-driven SQL tools ...

Microsoft has launched a database management tool it promises will help users manage multiple databases sharing a single SQL engine. With the vendor's Fabric data platform, Database Hub promises a ...

PostgreSQL leads in developer popularity in 2026 and offers advanced features for complex workloads. MySQL remains widely adopted, stable, and strong in traditional web and enterprise environments.

Enterprise AI has a data problem. Despite billions in investment and increasingly capable language models, most organizations still can't answer basic analytical questions about their document ...

D2TS is a TypeScript implementation of differential dataflow - a powerful data-parallel programming framework that enables incremental computations over changing input data. You can use D2TS to build ...

A Technical Project Manager with expertise in agile methodologies, project planning, quality assurance, and more. SQL (Structured Query Language) is the universal language for managing and interacting ...

Abstract: Modern data applications in areas such as text mining, document analysis, and data science, involve complex algorithms and logic that cannot be expressed in SQL. Therefore, SQL databases ...

Although a serious engineering challenge, database vectorization delivers orders-of-magnitude performance boosts for a real-time analytics engine such as StarRocks. Here’s how we did it. Improving ...