MapR-DB as a Document Database
MapR-DB supports OJAI documents as a native data store. OJAI documents are stored in a compact binary format, not as plain ASCII text.
With this support, you can:
- Store data that is hierarchical and nested, and that evolves over time.
- Read and write individual document fields, subsets of fields, or whole documents from and to disk. To update individual fields or subsets of fields, there is no need to read entire documents, modify them, and then write the modified documents to disk.
- Build Java applications with the MapR-DB JSON API library, which is an implementation of the Open JSON Application Interface (OJAI), a Java API library for easily managing complex, evolving, hierarchical data. You can use many more data types than the standard types that JSON supports, make it easy to create complex queries, and require no connection or configuration objects for accessing JSON tables.
- Filter query results within MapR-DB before results are returned to client applications.
- Run client applications on Linux, OS X, and Windows systems.
- Perform complex data analysis on your JSON data with Apache Drill or other analytical tools in real time without having to copy data to another cluster.
- Scale your data to span thousands of nodes.
- Control read and write access to single fields and subsets of fields within a JSON table by using access-control expressions (ACEs).
- Control the disk layout of single fields and subdocuments within JSON tables.