In today's data-driven landscape, businesses face an unprecedented explosion of diverse data types, necessitating a vast array of database options to handle specific workloads. This has resulted in a ...

The database world is getting a bit muddied when it comes to managing data variety. Not so long ago, with the exception of a few leading database management system (DBMS) platforms, databases ...

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 ...

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. When Snowflake announced its $250 million acquisition of Crunchy Data two weeks ago at its ...

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 ...

Amazon Web Services's AI Shanghai Lablet division has created a new predictive model -- an open-source benchmarking tool called 4DBInfer used to graph predictive modeling on RDBs, a relational ...

Relational foundation model NVIDIA Kumo Relational beats XGBoost and AutoGluon across 41 benchmark tasks on enterprise ...

One decision many enterprises have to make when implementing AI use cases revolves around connecting their data sources to the models they’re using. Different frameworks like LangChain exist to ...

While relational databases rely on rigid structures, document databases are much more natural to work with and can be used for a variety of use cases across industries. A document database (also known ...

A genomic language model called resLens could help researchers spot antibiotic resistance genes that conventional database-matching tools may miss, offering a faster route to tracking emerging ...