The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.

Abstract: Efficient SQL Query Optimization (QO) is a fundamental aspect of database management systems, aimed at enhancing query performance and reducing resource consumption typically involves ...

Abstract: SQL injection attack (SQLIA) is one of the major security threats faced by Web applications. The SQL randomization method based on instruction set randomization can be used to detect and ...

Perplexity's Latest AI Tool Makes Patent Research Less Tedious Perplexity Patents lets people use natural language queries to cut through the dense, hard-to-parse language and surface the patents they ...

On a mission to lighten the workload for data scientists, Google LLC’s cloud division today announced a wave of new artificial intelligence tools designed to help them build the next generation of AI ...

A lightweight SQL engine implemented in Python that parses and executes a subset of SQL queries via the command line. It supports core SQL features like SELECT, WHERE, GROUP BY, ORDER BY, DISTINCT, ...

At Build 2025, SQL Server 2025 officially entered public preview. As one of the world’s most popular databases, this release continues a decades-long history of innovation with features made for ...

Simple DDL Parser to parse SQL (HQL, TSQL, AWS Redshift, BigQuery, Snowflake and other dialects) ddl files to json/python dict with full information about columns: types, defaults, primary keys, etc. ...