HPE Ezmeral Data Fabric Room for Improvement

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

Upgrading Ezmeral to a new version is a pain. They're trying to make the solution more container-friendly, so I think they're going in the right direction. The only problem we've had in the past was the upgrades. The process isn't smooth due to how the Red Hat operating system upgrades currently work.

They're transforming their host stack to increase cloud readiness and edge compute capability. HPE is transitioning from a standard data-driven approach to one powered by AI analytics. That's something they have released very recently. I haven't tried that, but it will probably make things easier. 

The ability to adapt Ezmeral to the public cloud is probably missing. I've heard that they're getting leaner. However, it doesn't have a clear managed services offering for you if you want to deploy this stack on the cloud. That's a problem. This probably won't meet your needs if you require consistency across on-prem and the cloud. It's not Ezmeral's fault. None of the products would fit the bill. Cloud offerings are biased towards their own implementation. It's a general issue on most big data platforms. They're already working towards that, but it hasn't been released. 

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

There are some drawbacks in HPE Ezmeral Data Fabric when it comes to the interoperability part. HPE Ezmeral Data Fabric is not compatible with third-party tools. For example, HPE Ezmeral Data Fabric is not compatible with Informatica and one other tool, but considering my company's use cases, we tried but failed with the integration part. The aforementioned areas can be considered for improvement in the solution.

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PY
Sales Engineer at Korea Information Engineering Services

The product is not user-friendly. 

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Hadoop
March 2024
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Hamid M. Hamid - PeerSpot reviewer
Data architect at Banking Sector

The deployment could be faster. I want more support for the data lake in the next release. 

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MS
Founder at Chicago area Hadoop User Group (CHUG)

All products have room for improvement. Because of MapR-FS, they have an incredible advantage in terms of stability, cross cluster replication, and extensibility to create products like MapR-DB (Binary and JSON tables) and MapR Streams. 

One weakness for MapR is the Kerberos support. This is not much of an issue unless you rely on products in a secure environment which only support Kerberos. This really occurs with HBase. The lack of coprocessors is also an issue because MapR-DB is limited in terms of server side extensibility. While MapR can and is improving on this with their next release(s), if they were to implement coprocessors, it would most likely not be compatible with Apache’s release.

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

It would be great if it were completely compatible with HBase.

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it_user1050483 - PeerSpot reviewer
CEO at Inosense

The interface part, what I'm calling the integration part, could be improved. Although it was able to connect to Hadoop, pocket files and so on. For example, providing some API endpoints for capturing all the streaming parts wasn't well-developed at that point. But today, if I'm honest, they've added all these streaming ports.

Having the ability to extend the services provided by the platform to an API and micro-services architecture, could be very helpful. It could be used in different contexts and also integrated into a personal system for example or mobile applications, mobile content or some sort, and so on. API and micro-services architecture, all the features behind that, could be very interesting.

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

I'd say we've had issues with pricing.

Also, we had CLDB errors with M3 that made it seem a little unstable, but after getting some support with it, we learned how the CLDB propagates information, and haven't had issues since. M7 felt a lot more robust, and I don't recall any CLDB issues there.

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

It'd like to see file system auditing, data encryption, and certification of other vendors' tools.

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it_user347739 - PeerSpot reviewer
Director at a tech services company with 51-200 employees
  • Installations and setups are still a bit cryptic and can be improved.
  • Skilled resource base in Big Data Tools is generally low and hence project costing is that much higher.
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it_user346962 - PeerSpot reviewer
IT Project Director at a tech company with 10,001+ employees

The UI for administration still has a lot of manual work to set up the cluster and get it running.

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

It would be nice to have new developments in the Apache space (Spark, Storm, etc.).

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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.