Overview
Product Information on HPE Data Fabric Software
Updated 13th October 2025
What is HPE Data Fabric Software?
HPE Data Fabric Software Pricing
Overall experience with HPE Data Fabric Software
Architect
<50M USD, IT ServicesFAVORABLE
“Good features within filesystem”
Nice optimization with MapR-FS (over old and limited HDFS) and cool feature of securing with encryption at directory level not the entire drive.
Sr Data Engineer
<50M USD, Services (non-Government)CRITICAL
“MapR product is great, but need to improve stability and more efficient technical support.”
MapR ecosystem is great, but user group is relatively small. There are not many troubleshooting tips online as Cloudera. Our administration team has to submit tickets to MapR to tune our cluster. It takes up to several weeks to resolve issues for our developers.
About Company
Company Description
Hewlett Packard Enterprise, known as a global edge-to-cloud company, concentrates on a range of technology and innovation services to connect, protect, analyze, and act on all data and applications wherever they live, from edge to cloud, focusing on addressing business challenges through technology.
Company Details
Company type
Public
Year Founded
2015
Head office location
Houston, United States
Number of employees
10001+
Annual Revenue
10B-30B USD
Website
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HPE Data Fabric Software Reviews and Ratings
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- Architect<50M USDIT ServicesReview Source
Good features within filesystem
Nice optimization with MapR-FS (over old and limited HDFS) and cool feature of securing with encryption at directory level not the entire drive. - Software Test Engineer1B-10B USDTelecommunicationReview Source
Supreme Big data Platform, Though little costly
The MapR Data Platform delivers speed, scale, and reliability with utmost security. It is architected with many performance optimizations to get the most out of your hardware. - Sales50M-1B USDIT ServicesReview Source
Best big data platform, though better UI needed
MapR is built for performance and scale. Among other things, the file system is not HDFS and hence removes all the limitation of HFFS. It is a full read/write files system, which means you can use industry protocols like NFS to ingest data. The default file size is 8kb, which means you can do small writes instead of the 64MB/128MB that is required for HDFS. - Data Engineer10B+ USDEnergy and UtilitiesReview Source
MapR is a good choose for any company which is looking for create a big data cluster
I was responsible for that installation the MapR and configuration on 8 servers. MapR has a great file system for handle data input or output which is named MapR-FS. Our sensor datas are stored in MapR DB by OpentTSDB. I can say numerous good things about MapR. Maybe cost was a disadvantage. Because it is really expensive tool. They are working with high qualified engineers. - Managing Director1B-10B USDFinance (non-banking)Review Source
Migration was easy but had challenges with new configuration settings
MapR has been very responsive on resolving issues. They partner with us and care for success of the platform.
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