Edge’s ColdFront could appeal to enterprises looking to reduce storage costs without sacrificing application compatibility or the ability to modify historical data.

In a landmark moment for Indian artificial intelligence, fintech leader Paytm has developed Prism, a proprietary self-organizing multi-agent "swarm" system that has secured the #2 position on the ...

AkasicDB integrates vector, graph, and relational stores within a single DBMS, and processes queries across the three data models as a single execution plan through an unified query planner and ...

Google Research team has announced the launch of Gemini-SQL2 on X. They described this system as a breakthrough text-to-SQL capability powered by Gemini 3.1 Pro. Gemini-SQL2 posted 80.04% execution ...

When Miro’s data team pointed AI agents directly at its Snowflake environment, the agents got the wrong answer more than 65% of the time. The problem wasn’t the model — it was context. With more than ...

Abstract: Complex multi-table schemas present a primary challenge in Natural Language to SQL (NL2SQL), as Large Language Models (LLMs) consistently struggle to generate correct JOIN clauses. The core ...

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation ...

SQL Server tools are used across industries to improve the performance, security, and automation of databases. Modern tools support cloud-hybrid systems and faster data analysis workflows. Choosing ...

Abstract: Recently, research on natural language to structured query (Text-to-SQL) has advanced rapidly, aiming to enable models to automatically translate natural language queries into executable SQL ...

Why is the language developers and DBAs use to organize data such a mess? Here are 13 reasons we wish we could quit SQL, even though we probably won't. For all its popularity and success, SQL is a ...