How much did HP pay for MapR?

How much did HP pay for MapR?

The company said it plans to support existing deployments of MapR’s software along with ongoing renewals. While terms of the deal weren’t disclosed, a person close to the transaction said the price was under $50 million, and less than MapR’s annual revenues.

Who owns MapR?

Hewlett Packard Enterprise company
MapR Technologies, acquired by Hewlett Packard Enterprise company in 2019 | LinkedIn.

What happened to Hadoop?

Hadoop became obsolete. To be clear, Hadoop is an entire ecosystem for handling storage and analysis of “big data”, with several important layers like HDFS (a file system to store data reliably across many servers) and MapReduce (algorithms to run large distributed queries reliably across that stored data).

When did HPE acquire MapR?

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August 5, 2019
– (August 5, 2019) – Hewlett Packard Enterprise (NYSE: HPE) today announced it has acquired the business assets of MapR, a leading data platform for artificial intelligence and analytics applications powered by scale-out, multi-cloud and multi-protocol file system technology.

What is HPE MapR?

MapR’s file system technology enables HPE to offer a complete portfolio of products to drive artificial intelligence and analytics applications. HPE welcomes MapR customers and partners and plans to support existing deployments along with ongoing renewals.

Why is Hadoop dead?

Inefficient for small data sets Hadoop is designed for processing big data composed of huge data sets. It is very inefficient when processing smaller data sets. Hadoop is not suited and cost-prohibitive when it comes to quick analytics of smaller data sets.

Does HPE own MapR?

SAN JOSE, CALIF. – (August 5, 2019) – Hewlett Packard Enterprise (NYSE: HPE) today announced it has acquired the business assets of MapR, a leading data platform for artificial intelligence and analytics applications powered by scale-out, multi-cloud and multi-protocol file system technology.

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Who uses MapR data platform?

Leading enterprises across industries such as financial services, manufacturing, and consumer technology, use the MapR Data Platform to power their digital transformation initiatives and unlock business value. These companies have been able to move more quickly, grow revenue, reduce costs, and diminish risk.

Why MapR for AI/ML?

MapR allows for multiple workloads in the same environment and offers expansive APIs for easy access. Ensuring a consistent approach to secure, govern, protect, and orchestrate data up to exabyte scale across the AI/ML and analytics data pipeline. MapR handles a variety of data types from files and streams to documents.

What is MapR’s file system?

MapR’s file system technology will power HPE to offer its clientele a complete portfolio of products related to AI and analytics, helping them to efficiently manage their data assets end-to-end, which is from the edge to the cloud.

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