Microsoft SQL Server has long been a cornerstone for data management across industries. With the release of SQL Server 2025, ...

Cost optimization that strives to minimize spending has long been the norm. But conventional wisdom doesn't always apply in ...

Indianapolis IT Firm Offers SQL Server Management and Microsoft Data Stack Integration Indianapolis, United States - ...

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 ...

SELECT brings its proven data platform optimization engine to Databricks, replacing manual cost management for engineering and data teams SANTA CLARA, Calif., June 9, 2026 /PRNewswire/ -- DoiT today ...

GitHub hosts a wide range of database repositories that support developers working with database systems, SQL tools, and modern data engineering workflows. These open source database tools help power ...

Devart is releasing dbForge 2026.1, a major update that brings a variety of new features and long-anticipated enhancements to the entire dbForge ecosystem. According to Devart, the update will cover ...

How schema-aware AI SQL tools are reducing query failures, improving accuracy rates up to 90%, and helping non-technical teams access enterprise data without waiting for analysts. AI-driven SQL tools ...

The new instances unify warehouse and data lake queries in a single engine, aiming to reduce complexity and eliminate unpredictable Spectrum charges. AWS has released new Graviton-powered RG instances ...

New AI capabilities help DBAs move from performance visibility to performance resolution—turning slow queries into actionable index recommendations in minutes HOUSTON, March 19, 2026 /PRNewswire/ -- ...

The query optimizer is a crucial component in a relational database system and is responsible for finding a good execution plan for a SQL query. For cloud database service providers, the importance of ...

A Python tool for anonymizing SQL queries while preserving their structure and maintaining the ability to de-anonymize them later. Perfect for query optimization workflows, security testing, or data ...