In 1990, Walt Disney World didn’t have a centralized database of its millions of theme park visitors. Sheila Jordan, who ...

As a content creator, I use ChatGPT on a daily basis, from ideation and research to generating drafts for emails and video ...

Founders: Aerospike Founder and CTO Srini Srinivasan explains why real-time data architecture is crucial for scaling AI, ...

Interview: From powering 95M TPS to pioneering vector search, Aerospike CTO Srini Srinivasan reveals how real-time data is ...

Bring AI to your database! Learn how to build smarter apps with vector search in SQL Server & Azure Cosmos DB -- no extra AI ...

According to TigerGraph, combining graph and vector search allows AI models to retrieve ... that TigerGraph ships with its database. The syntax is similar to SQL, which makes it relatively simple ...

AUSTIN, Texas--(BUSINESS WIRE)--Valkyrie, a leading applied sciences lab, announces a groundbreaking achievement in space technology: the launch of the first-ever knowledge graph database beyond ...

Few solutions lack a database component ... I also hinted at SQL Data Projects, which are now SDK-style projects supported in Visual Studio, VS Code, and the command line through SqlPackage. These two ...

The global graph database market size was ... than standard relational tables and SQL,” Biswas pointed out. “This allows business analysts to easily model graph queries using a common business ...

These include updates to its Spanner SQL database ... vector and graph databases are a necessity to bring enterprise data into GenAI applications and enrich existing foundation models.

The challenge is: both involve very different executions and – at some point – CIOs will need to make the call on whether it would be better to use a Vector DB or a Knowledge Graph.