Try our new research platform with insights from 80,000+ expert users
HPE Data Fabric Logo

HPE Data Fabric pros and cons

4.0 out of 5
 

HPE Data Fabric Pros review quotes

it_user344895 - PeerSpot reviewer
Big Data Engineer at a tech services company with 51-200 employees
Nov 23, 2015
MapR is a great distribution, although I have limited experience with other distributors.
it_user346962 - PeerSpot reviewer
IT Project Director at a tech company with 10,001+ employees
Nov 26, 2015
I highly recommend MapR.
it_user347739 - PeerSpot reviewer
Director at a tech services company with 51-200 employees
Oct 6, 2016
The fact that the heavy computation is required on Big Data can be distributed across many nodes in a cluster, makes this solution a winner.
Learn what your peers think about HPE Data Fabric. Get advice and tips from experienced pros sharing their opinions. Updated: March 2026.
884,933 professionals have used our research since 2012.
it_user364152 - PeerSpot reviewer
Senior Data Warehouse Specialist / Team Leader at a tech vendor with 10,001+ employees
Jan 3, 2016
Initial setup is rather straightforward thanks to detailed documentation covering all the bases.
it_user364158 - PeerSpot reviewer
Member of Technical Staff at a tech company with 51-200 employees
Jan 3, 2016
This product enabled us opening up endless possibilities in data analytics, IOE/IOT, and predictive analysis.
it_user693837 - PeerSpot reviewer
Technical Architect at a tech services company with 10,001+ employees
Jun 29, 2017
Our customer purchased a paid support service and so far MapR has addressed our issues well.
MS
Founder at Chicago area Hadoop User Group (CHUG)
Mar 2, 2018
Outside of human error, MapR is probably the most stable of the major releases.
it_user1050483 - PeerSpot reviewer
CEO at Inosense
Jul 10, 2019
The model creation was very interesting, especially with the libraries provided by the platform.
Hamid M. Hamid - PeerSpot reviewer
Data architect at Banking Sector
Nov 21, 2022
I like the administration part.
Arnab Chatterjee - PeerSpot reviewer
Regional Head of Data and Application Platform at a financial services firm with 10,001+ employees
Jan 18, 2023
HPE Ezmeral Data Fabric can be accessed from any namespace globally as you would access it from a machine using an NFS.
 

HPE Data Fabric Cons review quotes

it_user344895 - PeerSpot reviewer
Big Data Engineer at a tech services company with 51-200 employees
Nov 23, 2015
I'd say we've had issues with pricing.
it_user346962 - PeerSpot reviewer
IT Project Director at a tech company with 10,001+ employees
Nov 26, 2015
The UI for administration still has a lot of manual work to set up the cluster and get it running.
it_user347739 - PeerSpot reviewer
Director at a tech services company with 51-200 employees
Oct 6, 2016
Installations and setups are still a bit cryptic and can be improved.
Learn what your peers think about HPE Data Fabric. Get advice and tips from experienced pros sharing their opinions. Updated: March 2026.
884,933 professionals have used our research since 2012.
it_user364152 - PeerSpot reviewer
Senior Data Warehouse Specialist / Team Leader at a tech vendor with 10,001+ employees
Jan 3, 2016
It would be nice to have new developments in the Apache space (Spark, Storm, etc.).
it_user364158 - PeerSpot reviewer
Member of Technical Staff at a tech company with 51-200 employees
Jan 3, 2016
It'd like to see file system auditing, data encryption, and certification of other vendors' tools.
it_user693837 - PeerSpot reviewer
Technical Architect at a tech services company with 10,001+ employees
Jun 29, 2017
The biggest drawback is that it has vendor locking.
MS
Founder at Chicago area Hadoop User Group (CHUG)
Mar 2, 2018
One weakness for MapR is the Kerberos support.
it_user1050483 - PeerSpot reviewer
CEO at Inosense
Jul 10, 2019
Having the ability to extend the services provided by the platform to an API architecture, a micro-services architecture, could be very helpful.
Hamid M. Hamid - PeerSpot reviewer
Data architect at Banking Sector
Nov 21, 2022
The deployment could be faster. I want more support for the data lake in the next release.
Arnab Chatterjee - PeerSpot reviewer
Regional Head of Data and Application Platform at a financial services firm with 10,001+ employees
Jan 18, 2023
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.