Banks, miners and police forces in Australia are among those using graph databases to provide the context and data relationships needed for more accurate and trustworthy AI, moving projects from exper ...

Graph databases, on the other hand, allow for connections to be stored alongside traditional records, facilitating more rapid analysis and queries.

Health data plays a pivotal role in modern healthcare, guiding patient care, diagnoses, treatments, and outcomes. This extensive data repository encompasses electronic health records, medical imaging, ...

At Microsoft Build, SQL Server 2025 enters public preview with major enhancements in AI integration, performance, reliability and developer tools -- reaffirming Microsoft’s continued investment ...

Neo4j, a leading graph database and analytics company, is introducing Neo4j Aura Graph Analytics, a new serverless offering that can be used with any data source and with Zero ETL (extract, load, ...

The SQL query language has been the cornerstone of database technology for decades. But what happens when you bring SQL together with modern generative AI? That’s the question that Google Cloud ...

Graph Database Market The global graph database market growth will be propelled through 2034 at a massive CAGR of 19.4%. With the growing data usage and the rising data storage requirements, the ...

Valkyrie makes history by launching the first-ever knowledge graph on the moon aboard Intuitive Machine’s IM-2 Mission from Kennedy Space Center.

Some of the best open source SQL Clients for Database Management are Sqlectron, SQuirrel SQL client, SQL Chat, OmniDB, HeidiSQL,Falcon, etc.

Q&A Get Started Using .NET Aspire with SQL Server & Azure SQL Database By David Ramel 01/23/2025 Microsoft unveiled .NET Aspire at the Build 2024 developer conference, describing it as an opinionated, ...

But with TigerGraph and other graph databases, it’s possible to store these connections alongside traditional records, enabling rapid analysis and queries.

These databases enable data managers and analysts to model, store, and query complex and increasingly interconnected relationships between datapoints. They also are employed to construct knowledge ...