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 ...

As organizations increasingly process sensitive and personal data, maintaining comprehensive access logs has become a fundamental requirement for both security and regulatory compliance. India's ...

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...

As SQL development increasingly becomes part of full-stack workflows, developers are looking for ways to simplify their tooling without compromising capability. While SQL Server Management Studio ...

Abstract: This paper introduces G-SQL, a schema-aware and rule-guided framework for translating Natural Language Queries (NLQ) into SQL, designed to support users with limited technical expertise.

Oracle Corp. today unveiled MCP Server for Oracle Database, a new Model Context Protocol offering that brings artificial intelligence-powered interaction directly into its core database platform to ...

While several SQL query builders (including ORM-based ones) already exist in the TypeScript ecosystem, many of them require a live database connection and a data retrieval layer to function. This ...

When using the new SQL Completion engine with the option "Use new SQL Parser" enabled and the setting to analyze all schemas, the completion process becomes extremely slow in environments with many ...