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How Does Multi-Model Improve Data Integration?

The ability to store and query multiple data models in multi-model databases results in unprecedented flexibility, operational efficiency, and DevOps agility when integrating data from silos. For instance, relational databases require you to define one agreed-upon uber schema upfront and map all your source data using cumbersome ETL processes that are difficult to maintain as business needs evolve. In contrast, multi-model databases are schema-agnostic so that multiple schemas (or data models) can coexist and you can flexibly evolve the schema to promptly meet new business needs.

As a multi-model database, MarkLogic Server makes it easy to load any data as is and provides flexibility to make iterative changes faster while preserving lineage, provenance, and other metadata. You can add data sources as needed, load structured and unstructured data, and make schema changes to enable new use cases without impacting existing applications or re-ingesting the source data. It is for this reason that MarkLogic Server is the foundation of the MarkLogic Data Hub Platform to integrate, curate, and manage multi-structured data. It makes it possible to integrate data of any type (like IoT, Clickstream, Mainframe, ERP etc.) from any source (like Oracle, SQL Server, Teradata, Hadoop etc.).

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