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HPE Data Fabric

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
Pricing
HPE Data Fabric
Editions & Modules
No answers on this topic
Offerings
Pricing Offerings
HPE Data Fabric
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No
Entry-level Setup FeeNo setup fee
Additional Details—
More Pricing Information
Community Pulse
HPE Data Fabric
Considered Both Products
HPE Data Fabric
Chavez Kattick | TrustRadius Reviewer
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
Engineer
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
Engineer
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
Engineer
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 …
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HPE Data Fabric
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User Ratings
HPE Data Fabric
Likelihood to Recommend
7.2
(4 ratings)
User Testimonials
HPE Data Fabric
Likelihood to Recommend
Hewlett Packard Enterprise
MapR is more well-suited for people who know what they are doing. I consider MapR the Hadoop distribution professionals use.
Verified User
Anonymous
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Pros
Hewlett Packard Enterprise
  • MapR had very fast I/O throughput. The write speed was several times faster than what we could achieve with the other Hadoop vendors (Cloudera and Hortonworks). This is because MapR does not use HDFS, which is essentially a "meta filesystem". HDFS is built on top of the filesystem provided by the OS. MapR has their filesystem called MapR-FS, which is a true filesystem and accesses the raw disk drives.
  • The MapR filesystem is very easy to integrate with other Linux filesystems. When working with HDFS from Apache Hadoop, you usually have to use either the HDFS API or various Hadoop/HDFS command line utilities to interact with HDFS. You cannot use command line utilities native to the host operation system, which is usually Linux. At least, it is not easily done without setting up NFS, gateways, etc. With MapR-FS, you can mount the filesystem within Linux and use the standard Unix commands to manipulate files.
  • The HBase distribution provided by MapR is very similar to the Apache HBase distribution. Cloudera and Hortonworks add GUIs and other various tools on top of their HBase distributions. The MapR HBase distribution is very similar to the Apache distribution, which is nice if you are more accustomed to using Apache HBase.
Verified User
Anonymous
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Cons
Hewlett Packard Enterprise
  • It takes time to get latest versions of Apache ecosystem tools released as it has to be adapted.
  • When you have issues related to Mapr-FS or Mapr Tables, its hard to figure them out by ourselves.
  • Sometime new ecosystem tools versions are released without proper QA.
Verified User
Anonymous
Read full review
Alternatives Considered
Hewlett Packard Enterprise
I don't believe there is as much support for MapR yet compared to other more widely known products.
Chavez Kattick | TrustRadius Reviewer
Chavez Kattick
Software Engineer
Read full review
Return on Investment
Hewlett Packard Enterprise
  • Increased employee efficiency for sure. Our clients have various levels of expertise in their deployment and user teams, and we never receive complaints about MapR.
  • MapR is used by one of our financial services clients who uses it for fraud detection and user pattern analysis. They are able to turn around data much faster than they previously had with in-house applications
Verified User
Anonymous
Read full review
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