HPE Ezmeral Data Fabric Scalability

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

It is a scalable solution.

There are around 200 to 300 users of HPE Ezmeral Data Fabric in my company.

My company does not plan to increase the number of users of the solution.

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PY
Sales Engineer at Korea Information Engineering Services

The product is easy to scale out and scale in. I would rate the product's scalability a five out of ten. 

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

HPE Ezmeral Data Fabric is a scalable solution. We have about 50 users at the moment. We are not planning to increase the number of users because this solution is only for data analysts and engineers.

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Buyer's Guide
Hadoop
March 2024
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MS
Founder at Chicago area Hadoop User Group (CHUG)

None, however when you get to a certain point in scale, you tend to hit limits in terms of hardware (disk IO and networking). This is true of all releases. Unlike the Apache releases that require Federation, MapR scales the best. 

As we look towards future design, scalability becomes less of an issue. You will see more of a movement towards storage/compute models and this will lead to multiple data lakes rather than a single large ocean. This is also due to potential data governance rules as well as corporate enterprise structure as well.

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it_user693837 - PeerSpot reviewer
Technical Architect at a tech services company with 10,001+ employees
it_user1050483 - PeerSpot reviewer
CEO at Inosense

The solution is very scalable indeed. They had a pinnable feature, based on the underlying component like Spark and they're a level five system, which I think is a clone of Hadoop, which is well managed. I'd say it was very scalable indeed.

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it_user364158 - PeerSpot reviewer
Member of Technical Staff at a tech company with 51-200 employees

It's scaled for our needs.

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it_user346962 - PeerSpot reviewer
IT Project Director at a tech company with 10,001+ employees

No issues encountered with scalability.

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it_user364152 - PeerSpot reviewer
Senior Data Warehouse Specialist / Team Leader at a tech vendor with 10,001+ employees

There have been no scalability issues so far.

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Buyer's Guide
Hadoop
March 2024
Find out what your peers are saying about Hewlett Packard Enterprise, Cloudera, IBM and others in Hadoop. Updated: March 2024.
765,386 professionals have used our research since 2012.