pgEdge’s ColdFront could appeal to enterprises looking to reduce storage costs without sacrificing application compatibility or the ability to modify historical data. For years, enterprises have ...
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 ...
Power Query and Power Pivot help Excel users manage large datasets more efficiently. Power Query focuses on cleaning and preparing data, while Power Pivot handles analysis and reporting. Together, ...
Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...
Enterprise AI has a data problem. Despite billions in investment and increasingly capable language models, most organizations still can't answer basic analytical questions about their document ...
Abstract: Recent progress in Large Language Models has pushed Text-to-SQL systems closer to enabling natural language queries over complex relational databases. Unfortunately, the models sometimes ...
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 ...
Structured Query Language, or SQL, is used to analyze large datasets. Today’s best SQL courses offer hands-on training for mastering database management. Structured Query Language, or SQL, is the ...
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