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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.
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.

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.
      - MapR-DB Binary Tables
        MapR-DB stores structured data as a nested series of maps. Each map consists of a set of key-value pairs, where the value can be the key in another map.
      - Column Families in Binary Tables
        Scanning an entire table for matches can be very performance-intensive. Column families enable you to group related sets of data and restrict queries to a defined subset, leading to better performance. When you design a column family, think about what kinds of queries are going to be used the most often, and group your columns accordingly.
    - 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

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.

MapR-DB as a wide-column database, stores data in binary format in MapR-DB binary tables. These binary tables are considered to be wide-column tables. If you're familiar with HBase tables, you'll be right at home with MapR-DB binary tables. In fact, your HBase applications can switch to using MapR-DB binary tables with no coding changes required.

MapR-DB binary tables use the HBase data model and support the HBase API.
Allows for large scale applications managing columnar data.
Binary compatibility with applications using standard HBase application APIs.
With the binary tables, rows are indexed by key, columns identify data elements in each row, and column families are made up of columns.