HPE Ezmeral Data Fabric Scalability
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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Phillip YOON
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.
View full review »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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Hadoop
April 2024
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MS
MSegel
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.
View full review »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.
View full review »It's scaled for our needs.
View full review »No issues encountered with scalability.
View full review »There have been no scalability issues so far.
View full review »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.
768,886 professionals have used our research since 2012.