MapR Expands Cloud Services With Amazon Elastic Container Service for Kubernetes
SANTA CLARA, Calif., June 14, 2018 -- MapR Technologies, Inc., provider of a leading data platform for AI and Analytics, today announced that the MapR Data Platform now supports Amazon Elastic Container Service for Kubernetes (Amazon EKS). MapR previously announced persistent storage for containers to enable the deployment of stateful containerized applications. With Amazon EKS, MapR makes it easy for organizations to adopt and manage their data seamlessly on-premises and on Amazon Web Services (AWS), ensure end-to-end security, and protect containerized applications with advanced replication, snapshots, and mirrors.
“Data agility is essential for next-gen analytics and advanced applications,” said Jack Norris, senior vice president, data and applications at MapR. “The robustness of MapR combined with the agility of Amazon EKS enables enterprises to quickly build a flexible and secure production environment for large scale AI and machine learning.”
Amazon EKS automatically manages the availability, scalability, and scheduling of containers. With MapR, organizations can retain the disaggregation of scaling compute independent of their storage, without having to worry about over subscription. MapR also secures containers from data access vulnerabilities through wire-level encryption and a full end-to-end set of access, authorization, and authentication features.
With MapR, organizations can delete, create, and move containers and still be able to access the data regardless of where their compute process is running. MapR provides data protection and highly available data access through replication and advance snapshot and DR features; data is distributed across cloud instances, availability zones, on-premises and edge resources while not impacting the portability of the containers.
MapR Technologies, Inc., provider of a leading data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission-critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. Global 2000 enterprises trust the MapR Data Platform to help them solve their most complex AI and analytics challenges. Amazon, Cisco, Google, Microsoft, SAP, and other leading businesses are all part of the MapR ecosystem. For more information, visit: mapr.com.