TrustRadius

HPE Data Fabric vs. MRI eSight

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
HPE Data Fabric
Score 9.4 out of 10
N/A
HPE Data Fabric (formerly MapR, acquired by HPE in 2019) is a software-defined datastore and file system that simplifies data management and analytics by unifying data across core, edge, and multicloud sources into a single platform.N/A
MRI eSight
Score 0.0 out of 10
N/A
MRIeSight is a energy management software for businesses, that enables users to import and export data from a wide range of disparate systems and formats to provide a single data store for analysis. eSight centralizes and manages global data from one central system with eSight’s multilingual, multi-currency capabilities. Its web-based tools offer solutions for a variety of energy management project.N/A
Pricing
HPE Data FabricMRI eSight
Editions & Modules
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Offerings
Pricing Offerings
HPE Data FabricMRI eSight
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
HPE Data FabricMRI eSight
Considered Both Products
HPE Data Fabric
CK
Chavez Kattick
Software Engineer
Chose HPE Data Fabric
I don't believe there is as much support for MapR yet compared to other more widely known products.
Verified User
Anonymous
Chose HPE Data Fabric
Hortonworks and Cloudera are both sort of hacky. We have to do a lot of extra steps to automate those two. MapR has far fewer issues and doesn't force you into a once size fits all deployment scenario. There are multiple ways to deploy and some are more amenable to automation, …
Verified User
Anonymous
Chose HPE Data Fabric
When we were shopping, Mapr had the momentum, high availability even on Hadoop 1.x, an improved file system and better a central control system. Now it looks like the situation has changed a lot.
Verified User
Anonymous
Chose HPE Data Fabric
We supported all three Hadoop vendors with our Hadoop RDBMS product. Here's how I see the commercial Hadoop distribution world. If you need raw performance and don't mind proprietary technology, go with MapR. If you care about the most pure open source, go with Hortonworks. If …
MRI eSight

No answer on this topic

Best Alternatives
HPE Data FabricMRI eSight
Small Businesses

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Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
Cisco Catalyst IE3400 Rugged Series Switches
Cisco Catalyst IE3400 Rugged Series Switches
Score 8.4 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 7.1 out of 10

No answers on this topic

All AlternativesView all alternativesView all alternatives
User Ratings
HPE Data FabricMRI eSight
Likelihood to Recommend
7.2
(0 ratings)
-
(0 ratings)
User Testimonials
HPE Data FabricMRI eSight
Likelihood to Recommend
If you need Hadoop and just need raw speed for I/O and have a Hadoop savvy group of engineers who don't need/like web UIs, then MapR is a great fit for you. If you are new to Hadoop or have DevOps folks that are not Hadoop gurus, choosing MapR as your Hadoop vendor will have a steeper learning curve as you will need to do more training and build more admin consoles for them.
Verified User
Anonymous
Read full review
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Pros
  • MapR allows easy integration with HBase and MapR DB.
  • Easy trial server setup for product testing.
  • Excellent training program to help new users get up-to-date with MapR and related products.
Chavez Kattick | TrustRadius Reviewer
Chavez Kattick
Software Engineer
Read full review
No answers on this topic
Cons
  • I think MapR's main problem is name recognition. Hortonworks and Cloudera both are big names in the industry, but their deployment mechanisms are a little more difficult to use, especially when trying to fully automate it's deployment.
  • Documentation could always be better. But really, if that's your main weakness, it's everybody's weakness.
Verified User
Anonymous
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Alternatives Considered
Hortonworks and Cloudera are both sort of hacky. We have to do a lot of extra steps to automate those two. MapR has far fewer issues and doesn't force you into a once size fits all deployment scenario. There are multiple ways to deploy and some are more amenable to automation, MapR just has that in spades
Verified User
Anonymous
Read full review
No answers on this topic
Return on Investment
  • Less manual intervention for maintaining a cluster.
Verified User
Anonymous
Read full review
No answers on this topic
ScreenShots