Query processing and user interaction form the cornerstone of modern database systems, providing the framework for translating high‐level user queries into efficient, actionable operations.

The database-learning framework seeks to reduce the time and power wasted on repetitive database tasks, updating the compute-intensive paradigm underpinning current database technology. Explained ...

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 ...

Natural language queries made to the database are routed through ChatGPT's API to produce a SQL query syntax that can be run to generate results, Kinetica says.

Serverless database developer Fauna Inc. today released a query language inspired by TypeScript along with new web and local development capabilities and a declarative database schema. The company ...

SQL is about as easy as it gets in the world of programming, and yet its learning curve is still steep enough to prevent many people from interacting with relational databases. Salesforce's AI ...

If the history of relational databases is any indication, what is going on in graph databases right now may be history in the making.

Piggybacking Queries EF.E provides three methods to let you issue (and retrieve results from) multiple unrelated queries in one trip to the database: Future, FutureFirstOrDefault and FutureCount. The ...