DataCebo today released SDV 2.0, software that lets an organization build a generative relational model of its own databases.

While companies integrate generative AI, semantic retrieval and intelligent automation into real business processes, they ...

San Francisco-based Monte Carlo Data, a company providing enterprises with automated data observability solutions, today announced new platform integrations and capabilities to expand its coverage and ...

Picture this: The year is 2030, and you’re living in a world where retailers can predict consumer behavior with uncanny accuracy, healthcare providers are diagnosing diseases before symptoms escalate ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...

Vector databases manage the vast data sets needed to power generative AI tools. As generative AI embeds itself across all industries, the use cases for vector databases increase as well. A vector ...

Business demands a single view of data, and IT strains to cobble together data from multiple data stores to present that view. Multi-model databases, however, can help you integrate data from multiple ...

A relational database is a type of database that organizes data points with defined relationships for easy access. In the relational database model, the data structures-- data tables, indexes and ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...