Multimodel data platforms represent the intersection of multiple data models such as document, graph, and relational in a single data platform, offering speed, scale, performance, integration, and security over the polyglot persistence model. Combining multimodel data types and models on large-scale memory helps deliver real-time, consistent, and trusted data to support new business requirements. Most organizations leverage multimodel data platforms to support microservices-based applications and a common data platform for customer 360, fraud detection, internet-of-things (IoT) analytics, and highly interactive edge applications.
As a result of these trends, multimodel data platforms customers should look for providers that:
- A platform that delivers built-in speed, scale, and security to meet your requirements.
- A platform that can support multimodel apps and insights quickly through automation.
- A roadmap that is as bold as your multimodel ambitions.
SAP (HANA, HANA Cloud), Oracle, MongoDB (Enterprise & Atlas), Marklogic, InterSystems, Microsoft (Azure Cosmos DB), Couchbase are the leaders in "Forrester Wave™: Multimodel Data Platforms, Q3 2021"
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