Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...

Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

Modern semantic search does not have to require a separate vector database. Data architects, database engineers, developers, or platform leaders can integrate Vertex AI and Cloud SQL vector indexes ...

KeeperDB integrates database access into a zero-trust PAM platform, reducing credential sprawl and improving security, ...

Learn how Power BI Analytics in Microsoft BI uses data modeling, DAX, Power Query M, and a data gateway to build secure, ...

Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...

Transitive 2.0 adds ClickHouse, Grafana, and Alertmanager, offering advanced storage and monitoring to help scale growing ...

Bengaluru techie opens up about interviewing a 13-year-experienced candidate who failed basic coding and SQL. | Trending ...

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

Explore the best data analytics tools for enterprises in 2026 that harness AI and advanced analytics to improve data-driven decision-making. Uncover key features, pricing, and ideal use cases to boost ...