Compare Hortonworks Data Platform vs. MapR

Hortonworks Data Platform is ranked 3rd in Hadoop with 3 reviews while MapR is ranked 4th in Hadoop with 2 reviews. Hortonworks Data Platform is rated 8.0, while MapR is rated 8.6. The top reviewer of Hortonworks Data Platform writes "Provides a complete solution and just one user interface that can manage all the packages". On the other hand, the top reviewer of MapR writes "Because of their POSIX compliant file system, they can support read/write files over the WORM storage of their competitors". Hortonworks Data Platform is most compared with Amazon EMR, Cask and IBM InfoSphere BigInsights, whereas MapR is most compared with Amazon EMR, Hortonworks Data Platform and Cloudera Distribution for Hadoop. See our Hortonworks Data Platform vs. MapR report.
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Read 2 MapR reviews.
2,824 views|1,600 comparisons
Most Helpful Review
Anonymous User
Find out what your peers are saying about Hortonworks Data Platform vs. MapR and other solutions. Updated: November 2019.
377,556 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
Now, using this solution, it is much cheaper to have all of the data available for searching, not in real-time, but whenever there is a pending request.The Hortonworks solution is so stable. It is working as a production system, without any error, without any downtime. If I have downtime, it is mostly caused by the hardware of the computers.We use it for data science activities.

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The model creation was very interesting, especially with the libraries provided by the platform.

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Cons
I would like to see more support for containers such as Docker and OpenShift.I work a lot with banking, IT and communications customers. Hortonworks must improve or must upgrade their services for these sectors.Security and workload management need improvement.

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Having the ability to extend the services provided by the platform to an API architecture, a micro-services architecture, could be very helpful.

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report
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377,556 professionals have used our research since 2012.
Ranking
3rd
out of 24 in Hadoop
Views
5,992
Comparisons
3,941
Reviews
3
Average Words per Review
386
Avg. Rating
8.0
4th
out of 24 in Hadoop
Views
2,824
Comparisons
1,600
Reviews
2
Average Words per Review
716
Avg. Rating
8.5
Top Comparisons
Compared 15% of the time.
Compared 22% of the time.
Compared 20% of the time.
Also Known As
Hortonworks, HDP
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Hortonworks
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Overview
Hortonworks is a leading innovator in the industry, creating, distributing and supporting enterprise-ready open data platforms and modern data applications. Our mission is to manage the world's data. We have a single-minded focus on driving innovation in open source communities such as Apache Hadoop, NiFi, and Spark. We along with our 1600+ partners provide the expertise, training and services that allow our customers to unlock transformational value for their organizations across any line of business. Our connected data platforms powers modern data applications that deliver actionable intelligence from all data: data-in-motion and data-at-rest. We are Powering the Future of Data.MapR MapReduce software makes Apache Hadoop more affordable and easier to use for big data analytics, business intelligence, distributed computing, and more.
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Sample Customers
Mayo Clinic, Symantec, Progressive Insurance, Noble Energy, Cardinal Health, Rogers, Mercy, Neustar, TRUECar, T-MobileValence Health, Goodgame Studios, Pico, Terbium Labs, sovrn, Harte Hanks, Quantium, Razorsight, Novartis, Experian, Dentsu ix, Pontis Transitions, DataSong, Return Path, RAPP, HP
Find out what your peers are saying about Hortonworks Data Platform vs. MapR and other solutions. Updated: November 2019.
377,556 professionals have used our research since 2012.
We monitor all Hadoop reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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