HPE Ezmeral Data Fabric Pricing

Arnab Chatterjee - PeerSpot reviewer
Regional Head of Data and Application Platform at a financial services firm with 10,001+ employees

HPE is flexible with you if you are an existing customer. They offer different models that might be beneficial for your organization. It all depends on how you negotiate.

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Hamid M. Hamid - PeerSpot reviewer
Data architect at Banking Sector

There is a need for my company to pay for the licensing costs of the solution.

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PY
Sales Engineer at Korea Information Engineering Services

The tool's price is cheap and based on a usage basis. The solution's licensing costs are yearly and there are no extra costs. 

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Buyer's Guide
Hadoop
April 2024
Find out what your peers are saying about Hewlett Packard Enterprise, Cloudera, IBM and others in Hadoop. Updated: April 2024.
768,415 professionals have used our research since 2012.
MS
Founder at Chicago area Hadoop User Group (CHUG)

Caveat Emptor!

There are three main vendors of 'Hadoop' and each has their strengths and weaknesses.  Its possible to build similar solutions on top of their platforms, however you have to consider the ease and cost of development and maintenance. 

In all of the solutions, enterprises get in to trouble when they do not have trained and competent staff. Its important to have a blended staff and to not always jump on the latest technology. Take your time, do your homework and then make and live with your decision.

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it_user693837 - PeerSpot reviewer
Technical Architect at a tech services company with 10,001+ employees

The MaprDB comes with an "extract" cost. So if the requirements include Hbase, I would suggest going with HBase, instead of  MapR-DB.

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it_user344895 - PeerSpot reviewer
Big Data Engineer at a tech services company with 51-200 employees

We have a multi-tenant pricing model for clients using the platform so we expect to get more back, but the distribution is quite expensive so assessing needs and use cases first is crucial to realizing the gains.

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Buyer's Guide
Hadoop
April 2024
Find out what your peers are saying about Hewlett Packard Enterprise, Cloudera, IBM and others in Hadoop. Updated: April 2024.
768,415 professionals have used our research since 2012.