Example use cases include networks, social media (relationship management), search, fraud detection, real-time recommendations, and digital asset management. An example of a popular graph database ...

A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its ...

DataStax is releasing the first preview of Stargate, a new open source API framework that could eventually turn Apache Cassandra into a multi-model database. It's an approach that has parallels ...

Open-source database startup SurrealDB Inc. said today it has closed on a $20 million funding investment that will fund its ambitions to disrupt the big data industry. The round, led by FirstMark ...

A multi-model database has the features of multiple data models and databases built into a single product that uses a single query language.

SurrealDB, the ultimate multi-model database, is debuting the next iteration of its database solution, centered on further simplifying the lives of developers. SurrealDB 2.0 adds a series of new ...

The unique multi-model approach gives data-driven teams access to both log and BI data from the same platform, allowing organizations to democratize data insights with governance.

Google's new features include Gemini in BigQuery and Looker to help users with data engineering and analysis.

Meta has announced a new open-source AI model that links together multiple streams of data, including text, audio, visual data, temperature, and movement readings.

Angelina Hammon, Sabine Zinn, Multiple imputation of binary multilevel missing not at random data, Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 69, No. 3 (2020), pp.