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 ...

Discover how agentic AI is reshaping databases. Explore critical insights and prepare for the future of data management today ...

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, ...

The web framework IHP 1.5.0 brings a new database layer, significant performance gains, and an improved modular architecture.

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

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

In-demand skills include data analysis. It has been predicted that in 2026 businesses will place a high value on analysts who ...

In 2026, entry-level and transition roles often expect more than passive course completion. Employers want to see that you can write queries that answer business questions, work with browser logic, ...

Oracle has launched new agentic AI innovations for Oracle AI Database that will help customers rapidly build, deploy, and ...

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