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 ...

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 ...

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

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

The selection model also has poor statistical and numerical properties and relies on untestable assumptions. Empirically the multi-part estimators perform as well as or better than the sample ...

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

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.

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.