MapR complements its industry-leading enterprise-grade Converged Data Platform with an equally extensive, best-in-class support infrastructure. MapR delivers 24x7, SLA-driven, follow-the-sun support for you with a dedicated team of global support engineers proficient in the Hadoop ecosystem, Apache Spark, Apache Drill and the MapR Converged Data Platform. By subscribing to MapR Standard or MapR Premium support, you’ll be connected to a highly qualified team of professionals who are there to help you, every step of the way.

Taken together, the combination of our world-class support engineers, thorough product documentation and the lively MapR Community, will enable swift progress of your projects and ensure the smooth operation of your applications.


Deep Production Hadoop Expertise

MapR has a strong presence across different industries and has enabled customers to execute a wide range of Hadoop and Spark projects – from clickstream analytics and data warehouse optimization, to real-time operational applications. Meeting stringent requirements for data life-cycle management, security, cluster scaling, and performance tuning is part of our holistic approach to supporting our customers. The experience our support engineers have gained over years of successful production deployments is unparalleled in the industry.

Global Footprint with Local Language Support

MapR has regional offices and support centers across the world providing 24x7 follow-the-sun global support across different markets. MapR leverages its global presence to provide support in numerous local languages.

Extensive Development Support

From proof-of-concept to production, MapR provides design and development support for more than 20 Apache projects. Unique to all Hadoop vendors, MapR supports multiple versions of the individual Apache projects to run on the MapR Converged Data Platform. This provides IT organizations the ability to develop and deploy new applications at their own pace rather than being forced into upgrading all components when a new version of Hadoop is released.