SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases. For the last three decades, databases and Structured Query ...
Data Access Shouldnʼt Require a Translator In most enterprises, data access still feels like a locked room with SQL as the ...
Kinetica, a relational database provider for online analytical processing (OLAP) and real-time analytics, is harnessing the power of OpenAI’s ChatGPT to let developers use natural language processing ...
Overview: AI-driven SQL tools now help teams explore data with natural language.Modern SQL platforms mix automation with real-time collaboration.Choosing the ri ...
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With its ability to convert natural language questions into SQL queries, the addition of ChatGPT to the high-performance, real-time Kinetica database makes it possible for business users to obtain ...
One of the critical decisions facing companies embarking on big data projects is which database to use, and often that decision swings between SQL and NoSQL. SQL has the impressive track record, the ...
Hoping to unify the growing but disparate market of NoSQL databases, the creators behind CouchDB and SQLite have introduced a new query language for the format, called UnQL (Unstructured Data Query ...
The death of SQL has been greatly exaggerated. With all apologies to Mark Twain, the demise of Structured Query Language (SQL), having been forecasted for a while, is far from a done deal. In fact, ...
The structured query language is a powerful tool for connecting to many database systems that store data in tables organized into rows and columns. It's often used on the backend of business websites ...