One of Python's best features is the number of libraries you can use with the language. Not only does Python come with lots ...

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 ...

The analyst firm identifies data collection, customer profile unification, integrations and segmentation as among the key features of a CDP ...

It’s the latest development in an architecture called the lakehouse, which combines structured and unstructured data. Google built a version of this lakehouse architecture on its BigLake, a storage ...

Think of knowledge-graph-powered data catalogs as the search engine for the data in the enterprise.

The Graph, the open, universal data layer for web3, announced today a strategic integration with the TRON blockchain network ...

Lineage graphs reveal how raw feeds turn into curated data products. This is governance at work behind the scenes, ensuring consistency and reliability without the overhead.

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

Unlike traditional databases, knowledge graphs organize information as nodes and edges, making them better for AI systems that reason & infer.

For any organization building toward the future of data intelligence, Iceberg is not just a nice-to-have. Instead, it is rapidly becoming an essential component of the modern data stack.

Google AI Mode now supports interactive graphs for financial data right in Search, and it’s a game-changing feature.