Compare HPE Ezmeral Data Fabric vs. Hortonworks Data Platform
Most Helpful Review | |||
| Use HPE Ezmeral Data Fabric? Share your opinion. | ||
 Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: January 2021. 455,962 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:
Pricing and Cost Advice | |
"It is priced well and it is affordable" | Information Not Available |
 Use our free recommendation engine to learn which Hadoop solutions are best for your needs. 455,962 professionals have used our research since 2012. | |
Ranking  | |
Views 2,840 Comparisons 1,795 Reviews 3 Average Words per Review 545 Rating 8.7 | Views 2,011 Comparisons 1,107 Reviews 1 Average Words per Review 657 Rating 8.0 |
Popular Comparisons | |
 Compared 35% of the time.  Compared 14% of the time.  Compared 14% of the time. Compared 11% of the time.  Compared 10% of the time. | Compared 27% of the time. Compared 18% of the time. Compared 14% of the time.  Compared 12% of the time.  Compared 5% of the time. |
Also Known As | |
| Hortonworks, HDP | MapR, MapR Data Platform |
Learn | |
| Cloudera | Hewlett Packard Enterprise Video Not Available |
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. | Forward-leaning companies win market share because they leverage data more effectively than their competitors. Unlock the potential of your data assets with HPE Ezmeral Data Fabric (formerly MapR Data Platform). Empower your data science, analytics, and business teams by simplifying data management on a globally distributed scale. All with enterprise-grade reliability, security, and performance. |
Offer | |
Learn more about Hortonworks Data Platform | Learn more about HPE Ezmeral Data Fabric |
Sample Customers | |
| Mayo Clinic, Symantec, Progressive Insurance, Noble Energy, Cardinal Health, Rogers, Mercy, Neustar, TRUECar, T-Mobile | Valence Health, Goodgame Studios, Pico, Terbium Labs, sovrn, Harte Hanks, Quantium, Razorsight, Novartis, Experian, Dentsu ix, Pontis Transitions, DataSong, Return Path, RAPP, HP |
Top Industries | |
Computer Software Company30% Comms Service Provider18% Media Company13% Financial Services Firm6% | Computer Software Company30% Comms Service Provider19% Financial Services Firm10% Government6% |
Company Size | |
Small Business27% Midsize Enterprise18% Large Enterprise55% | Small Business43% Large Enterprise57% |
Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: January 2021.
455,962 professionals have used our research since 2012.
Hortonworks Data Platform is ranked 3rd in Hadoop with 3 reviews while HPE Ezmeral Data Fabric is ranked 6th in Hadoop with 1 review. Hortonworks Data Platform is rated 8.6, while HPE Ezmeral Data Fabric is rated 8.0. 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 HPE Ezmeral Data Fabric writes "Enables us to create preview models and has good scalability and stability ". Hortonworks Data Platform is most compared with Amazon EMR, Cloudera Distribution for Hadoop, Cask, Cloudera DataFlow and Apache Spark, whereas HPE Ezmeral Data Fabric is most compared with Cloudera Distribution for Hadoop, Apache Spark, Amazon EMR, BlueData and DataStax.
See our list of best Hadoop vendors.
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.