Hewlett Packard Enterprise (HPE) has acquired the business assets of Hadoop pioneer MapR, which provides a data platform for AI and analytics applications powered by scale-out, multi-cloud and multi-protocol file system technology.
The transaction includes MapR’s technology, intellectual property, and domain expertise in AI and machine learning (AI/ML) and analytics data management.
The news follows the consolidation of two other major vendors in the Hadoop market. In January 2019, Cloudera and Hortonworks announced the finalization of their all-stock merger, which was first announced in October 2018.
HPE cited synergies between MapR and the BlueData technology, which it acquired in 2018, and said the acquisition will accelerate its Intelligent Data Platform capabilities and help customers optimize workload solutions for mission-critical on-prem and cloud-native data workflows.
According to HPE, the combination of HPE’s BlueData capabilities for stateful container-based applications and MapR technologies can enable data scientists and data analysts to stitch together AI/ML and analytics data pipelines in minutes across on-premise, hybrid cloud, and multi-cloud environments.
Other advantages cited by HPE, are that MapR enables multiple workloads to be handled in the same environment and offers expansive APIs for easy access; provides a consistent approach to secure, govern, protect, and orchestrate data up to exabyte scale across the AI/ML and analytics data pipeline; and offers multi-cloud and container support to ensure seamless portability of applications across disparate environments running leveraging the MapR Data Platform.
“At HPE, we are working to simplify our customers’ and partners’ adoption of artificial intelligence and machine learning,” said Phil Davis, president, Hybrid IT, Hewlett Packard Enterprise. “MapR’s enterprise-grade file system and cloud-native storage services complement HPE’s BlueData container platform strategy and will allow us to provide a unique value proposition for customers.”
For more information, go to www.hpe.com