HPE Data Fabric vs. Tencent Cloud Elastic MapReduce

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
Tencent Cloud Elastic MapReduce
Score 0.0 out of 10
N/A
Combining cloud computing and community open-source technologies such as Hadoop, Hive, Spark, HBase, Presto, and Storm, Tencent Cloud Elastic MapReduce (EMR) provides cloud-based Hadoop services featuring high reliability and elastic scalability. Using EMR, users can create a secure and reliable Hadoop cluster in just minutes to analyze petabytes of data stored on the data nodes in the cluster or in Cloud Object Storage (COS).N/A
Pricing
HPE Data FabricTencent Cloud Elastic MapReduce
Editions & Modules
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Offerings
Pricing Offerings
HPE Data FabricTencent Cloud Elastic MapReduce
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 FabricTencent Cloud Elastic MapReduce
Best Alternatives
HPE Data FabricTencent Cloud Elastic MapReduce
Small Businesses

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Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 7.1 out of 10
IBM Analytics Engine
IBM Analytics Engine
Score 7.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
HPE Data FabricTencent Cloud Elastic MapReduce
Likelihood to Recommend
7.2
(0 ratings)
-
(0 ratings)
User Testimonials
HPE Data FabricTencent Cloud Elastic MapReduce
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.
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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.
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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.
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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
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Return on Investment
  • Less manual intervention for maintaining a cluster.
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ScreenShots