Multi-model databases can take in varying database schemas, allowing them to integrate siloed data.

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 ...

MarkLogic 11 improves interoperability with data ecosystems through support for industry standards such as GraphQL, which eases exposure of multi-model data to BI tooling; OpenGIS and GeoSPARQL ...

The ArangoDB native multi-model database was the best fit for storing and identifying threat intelligence data. With a native multi-model, all of the queries are done fast, and we can access a ...

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.

Real-time database vendor Aerospike is expanding its multi-model capabilities with the launch of the Aerospike Graph database. Aerospike got its start back in 2009, providing a NoSQL database that ...

Aerospike’s multi-model database engine (supporting document, key-value, graph, and vector data types) also significantly reduces development and operational complexity.

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 ...