HPE Data Fabric vs. Oracle Big Data Cloud Service

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
Oracle Big Data Cloud Service
Score 6.0 out of 10
N/A
The Oracle Big Data Cloud Services features managed and secure platform cloud service for Apache Hadoop and Apache Spark delivered as an elastic, integrated platform. It provides support for streaming, batch, and interactive analysis.N/A
Pricing
HPE Data FabricOracle Big Data Cloud Service
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
HPE Data FabricOracle Big Data Cloud Service
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 FabricOracle Big Data Cloud Service
Features
HPE Data FabricOracle Big Data Cloud Service
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
HPE Data Fabric
-
Ratings
Oracle Big Data Cloud Service
8.1
Ratings
1% above category average
Ease of building user interfaces00 Ratings9.00 Ratings
Scalability00 Ratings7.00 Ratings
Platform management overhead00 Ratings9.00 Ratings
Workflow engine capability00 Ratings8.00 Ratings
Platform access control00 Ratings8.00 Ratings
Services-enabled integration00 Ratings8.00 Ratings
Development environment creation00 Ratings9.00 Ratings
Issue recovery00 Ratings7.00 Ratings
Best Alternatives
HPE Data FabricOracle Big Data Cloud Service
Small Businesses

No answers on this topic

AWS Lambda
AWS Lambda
Score 8.7 out of 10
Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 7.1 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
HPE Data FabricOracle Big Data Cloud Service
Likelihood to Recommend
7.2
(0 ratings)
10.0
(0 ratings)
User Testimonials
HPE Data FabricOracle Big Data Cloud Service
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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We use it only when we need to and we have found that the software does what it needs to, it's user friendly and us also really helpful in many other ways as well. Like I mentioned before, we love the security and the speed we receive.
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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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  • User friendly
  • Offers support and assistance
  • Worth the cost
  • Time efficient
  • Good reliability
  • Reliable support
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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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  • Less pricey
  • Customizable
  • A little more help in setting up/using the systems
  • Constant upgrades are always pricey
  • Some bugs noticable
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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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Although new, Oracle has been exceptionally good speed wise and the customer service is top notch
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Return on Investment
  • Less manual intervention for maintaining a cluster.
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  • It has had a good impact we are able to complete our projects in time
  • We can save all our data in a safe and secure location
  • Our data analysis is now faster than ever
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ScreenShots