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 ...

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 ...

Oracle RAC Fast Restart Recovery: Helps reduce downtime created by node failures or planned maintenance operations. With Oracle AI Database 26ai RAC, online transaction processing (OLTP) applications ...

SAVE is an incomplete and flawed database that has been shown to produce a massive number of false positives, incorrectly ...

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 ...

To improve data center efficiency, multiple storage devices are often pooled together over a network so many applications can share them. But even with pooling, significant device capacity remains ...

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 ...

Capturing tribal knowledge organically and creating a living metadata store that informs every AI interaction with ...

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

Could help break silos, but users should take wait-and-see approach to system limited to Microsoft DBs and DBaaS ...