Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...

Microsoft’s new Azure database savings plans promise more flexible, cross-service cost reductions than traditional reservations, giving IT teams another lever to manage rising cloud database spend ...

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

Most exchange backends still run on Linux - matching engines, market-data services, FIX gateways, and high-throughput trading ...

Enterprises face challenges scaling AI beyond pilots as legacy systems, governance gaps, and infrastructure constraints hold them back. The post Overcoming barriers to database modernisation in the AI ...

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

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 ...

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

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 ...

New capabilities help teams understand database changes, monitor delivery performance, identify risk earlier, resolve issues faster, and centralize audit evidence, while extending governed database ...

Fivetran, the global leader in data movement, announced it is donating SQLMesh, its open source data transformation framework, to the Linux Foundation to support a community-governed approach to ...