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

Increasingly, customers are demanding that their databases take on multiple chores. Emergence of multi-model databases providing developers multiple paths through APIs is the latest evidence of ...

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 ...

This eBook explains how organizations use multi-model databases to reduce complexity, save money, lessen risk, and shorten time to value, and includes practical examples.

This eBook explains how organizations use multi-model databases to reduce complexity, save money, lessen risk, and shorten time to value, and includes practical examples. Read this eBook to ...

For example, document, graph, relational, and key-value models are examples of data models that may be supported by a multi-model database.

If used in conjunction with graph database capabilities, search results could be used, for example, to enhance fraud protection, individualise recommendations or simplify precision medicine.

Your microservices architecture requires multiple data models. Should you opt for polyglot persistence or a multi-model database?