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6.0 Platform
Provides a brief overview of what the MapR data platform is and how you can use it to solve enterprise business needs.
MapR-DB
MapR-DB is an enterprise-grade, high-performance, NoSQL database management system. You can use it for real-time, operational analytics capabilities.
Data Models
MapR-DB can be used as both a document database and a wide-column database. As a document database, JSON documents are stored in MapR-DB JSON table. As a wide-column database, binary files are in stored MapR-DB binary tables.

6.0 Platform
Provides a brief overview of what the MapR data platform is and how you can use it to solve enterprise business needs.
- MapR-XD
- MapR-DB
  MapR-DB is an enterprise-grade, high-performance, NoSQL database management system. You can use it for real-time, operational analytics capabilities.
  - Architecture
    MapR-DB is an enterprise-grade, high performance, NoSQL (“Not Only SQL”) database management system. You can use it to add realtime, operational analytics capabilities to big data applications. As a multi-model NoSQL database, it supports both JSON document models and wide column data models.
  - Data Models
    MapR-DB can be used as both a document database and a wide-column database. As a document database, JSON documents are stored in MapR-DB JSON table. As a wide-column database, binary files are in stored MapR-DB binary tables.
    - MapR-DB as a Document Database
      MapR-DB supports JSON documents as a native data store. A JSON document is a tree of fields. These JSON documents are stored in MapR-DB tables.
    - MapR-DB as a Wide-Column Database
      MapR-DB supports binary tables as a native data store. MapR-DB binary tables are identical conceptually to tables in Apache HBase.
    - Table Rowkey Design
      The design of a table's rowkeys affects the speed at which client applications can access data and the database performance if hotspotting occurs. The better the design, the faster the data access.
  - Secondary Indexes
    Beginning with MapR 6.0, MapR-DB JSON natively supports secondary indexes on fields in JSON tables. Indexes provide you with flexible, high performance access to data stored in MapR-DB.
  - Change Data Capture
    The Change Data Capture (CDC) system allows you to capture changes made to data records in MapR-DB tables (JSON or binary) and propagate them to a MapR-ES topic.
  - Table Replication
    Data in one table can be replicated to another table that is in the same cluster or in a separate cluster. This type of replication is in addition to the automatic replication that occurs with table regions within a volume.
  - Gateways for Indexing MapR-DB Data in Elasticsearch
    As of with MapR 6.0, MapR-DB Elastic Search integration capability is deprecated and no longer available in the MapR-DB product.
- MapR-ES
  MapR-ES brings integrated publish and subscribe messaging to the MapR Converged Data Platform.
- Cluster Management
- Security
- YARN
- Client Connections

Data Models

MapR-DB can be used as both a document database and a wide-column database. As a document database, JSON documents are stored in MapR-DB JSON table. As a wide-column database, binary files are in stored MapR-DB binary tables.

MapR-DB as a Document Database

JSON documents are stored in MapR-DB JSON tables. When you create a table in a volume, the table type is specified as JSON. Only JSON-like documents can be stored in JSON tables. Also, typically, tables of the same type (in this case, JSON) are created in their own volume.

Each document is stored in a table row and indexed by the "_id" field.

MapR-DB as a Wide-Column Database

Binary data is stored in a table row where rows are indexed by key and columns identify data elements in each row. Also, typically, tables of the same type (in this case, binary) are created in their own volume.