HPE Ezmeral Data Fabric 6.1.x is In Maintenance and transitions to "End of Maintenance" in June 2024. Please see the latest documentation.

About MapR 6.1
This site contains the main documentation for Version 6.1 of the MapR Converged Data Platform, including installation, configuration, administration, and reference information.
6.1 Installation
This section contains information about installing and upgrading MapR software. It also contains information about how to migrate data and applications from an Apache Hadoop cluster to a MapR cluster.
6.1 MapR Data Platform
MapR Data Platform is the industry-leading data platform for AI and analytics that solves enterprise business needs.
- MapR XD Distributed File and Object Store
  MapR XD Distributed File and Object Store is a distributed file system for data storage, data management, and data protection. MapR XD supports mounting and cluster access via NFS and FUSE-based POSIX clients (basic, platinum, or PACC) and also supports access and management via HDFS APIs.
- MapR Database
  MapR Database is an enterprise-grade, high-performance, NoSQL database management system that you can use for real-time, operational analytics.
  - Architecture
    MapR Database 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 key-value data models.
  - Data Models
    MapR Database can be used as both a document database and a column-oriented database. As a document database, JSON documents are stored in HPE Ezmeral Data Fabric Database JSON table. As a column-oriented database, binary files are in stored HPE Ezmeral Data Fabric Database binary tables.
    - MapR Database as a Document Database
      MapR Database supports JSON documents as a native data store. A JSON document is a tree of fields. These JSON documents are stored in MapR Database tables.
    - MapR Database as a Column-Oriented Database
      MapR Database supports column-oriented databases as a native data store. Column-oriented database tables in MapR Database are conceptually identical to tables in Apache HBase.
      - MapR Database Binary Tables
        MapR Database stores 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 Database JSON natively supports secondary indexes on fields in JSON tables. Indexes provide you with flexible, high performance access to data stored in MapR Database.
  - Change Data Capture
    The Change Data Capture (CDC) system allows you to capture changes made to data records in MapR Database tables (JSON or binary) and propagate them to a MapR Event Store For Apache Kafka topic.
  - Table Replication
    You can replicate data in one table 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 Database Data in Elasticsearch
    As of MapR 6.0, MapR Database Elastic Search integration capability is deprecated and no longer available in the MapR Database product.
- MapR Event Store For Apache Kafka
  MapR Event Store For Apache Kafka brings integrated publish and subscribe messaging to the MapR Converged Data Platform.
- MapR Data Fabric for Kubernetes
  This section describes the MapR Data Fabric for Kubernetes, which include the Container Storage Interface (CSI) driver for multiple container-orchestration systems, and the FlexVolume driver for Kubernetes.
- Cluster Management
  Provides a synopsis of the various cluster components and their management.
- Security
  Provides an overview of the MapR security features.
- YARN
- Client Connections
  The following sections describe how a client connects to local and remote MapR clusters.
6.1 Administration
This section describes how to manage the nodes and services that make up a cluster.
6.1 Development
This section contains information related to application development for Ezmeral ecosystem components and MapR Data Platform products, including the file system, Database (Key-Value and JSON), and Event Streams.
Other Docs
This section contains release-independent information, including: MapR Installer documentation, Ecosystem release notes, interoperability matrices, security vulnerabilities, and links to other MapR version documentation.
Glossary
Definitions for commonly used terms in MapR Converged Data Platform environments.

MapR Database as a Column-Oriented Database

MapR Database supports column-oriented databases as a native data store. Column-oriented database tables in MapR Database are conceptually identical to tables in Apache HBase.

As a column-oriented database, MapR Database stores data in binary format. MapR Database supports the Apache HBase API and provides a native implementation of the HBase API. HBase applications can use MapR Database tables without modifying any code.

MapR Database tables use the HBase data model.
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.