The MapR Converged Data Platform integrates the power of Hadoop and Spark with global event streaming, realtime database capabilities, and enterprise storage for developing and running innovative data applications.
“MapR is the perfect distribution for the enterprise."
|-- Michael Brown, Chief Technology Officer, comScore, Inc.|
The MapR Converged Data Platform ensures production success with an architecture designed specifically for business-critical applications. Built-in enterprise-grade features such as high availability, disaster recovery, security, and consistent snapshots let you deploy production-ready systems.
MapR gives you seamless data access and integration, and the ability to run both online and analytical processing and applications reliably on one platform.
Our customers are achieving impressive results:
MapR gives you business-critical production success because of the advanced architecture of the MapR Converged Data Platform:
Along with the architectural innovations that provide business-critical success, MapR constantly tests, validates and hardens the core Apache projects before including them in its distribution. MapR uniquely supports earlier versions of most of the ecosystem projects, and updates the open source projects in its distribution on a monthly basis, enabling you to benefit from the latest project innovations without having to modify existing applications. MapR also provides key contributions to and spearheads the development of open source projects such as Apache Drill and Apache Myriad.
MapR has hundreds of partners including these industry leaders:
MapR Converged Community Edition (MapR CE) is a free edition of the MapR Converged Data Platform for internal testing use per the MapR End User License Agreement with community forum support. MapR CE includes Hadoop, Spark, MapR Database, MapR Event Store, and MapR-FS.
MapR Converged Enterprise Edition (MapR EE) is a commercially supported edition of the MapR Converged Data Platform which includes MapR Platform Services for high availability (HA) and disaster recovery (DR) and provides MapR Premium Support. Flexible packages for MapR EE are available for customers to choose one or more of the MapR Modules for Apache Hadoop, Apache Spark, MapR Database, and MapR Event Store, as well as other add-ons for Apache Drill, Apache HBase, Apache Solr, MapR POSIX Client, and more.
The MapR Sandbox, the fastest on-ramp to Hadoop, provides tutorials, demo applications, and browser-based user interfaces to let you get started quickly with Hadoop. It is a fully functional converged data platform running in a virtual machine.
You can try our Sandbox now at mapr.com/sandbox. It is completely free and available as a VMware or VirtualBox VM.
Working with partners, MapR hosts the industry’s first Hadoop app gallery for a wide range of data applications that work with the MapR Platform. Each solution includes information such as compatibility between app versions, instructions for download or purchase, setup directions, tutorials, and options for support. Visit mapr.com/appgallery for a complete list of applications.
MapR Premium Support offers a full range of Service Level Agreements to match your business needs 24x7 every day of the year.
MapR Professional Services delivers world-class expertise to help you get the most out of your big data investment. We offer a wide range of services to help you plan, implement, deploy, and manage your big data installation.
Become a big data expert with free, comprehensive Hadoop On-Demand Training. MapR offers full-length on-demand training courses on a range of Hadoop technologies for developers, data analysts and administrators. Designed in a format that meets your convenience, availability and flexibility needs, these courses will lead you on the path to becoming a certified Hadoop professional. MapR also offers the most comprehensive suite of instructor-led courses in a classroom setting.
Visit mapr.com/training for a complete list of classes.
“Implementing [MapR] for our advertising platform worked out very well, especially with the addition of HBase and MapR Database. The combination gives us very high throughput and easily scales out. What is unique was tying together all these Big Data tools such as Apache Kafka, Apache Storm, the MapR distribution for Hadoop, and most importantly, MapR Database."
|-- Nathaniel Auvil, Distinguished Engineer, Comcast|