Compare BlueData vs. HPE Ezmeral Data Fabric

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BlueData Logo
657 views|517 comparisons
HPE Ezmeral Data Fabric Logo
2,011 views|1,107 comparisons
Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: January 2021.
456,495 professionals have used our research since 2012.
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We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

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Use our free recommendation engine to learn which Hadoop solutions are best for your needs.
456,495 professionals have used our research since 2012.
Ranking
11th
out of 22 in Hadoop
Views
657
Comparisons
517
Reviews
0
Average Words per Review
0
Rating
N/A
6th
out of 22 in Hadoop
Views
2,011
Comparisons
1,107
Reviews
1
Average Words per Review
657
Rating
8.0
Popular Comparisons
Compared 21% of the time.
Compared 8% of the time.
Compared 5% of the time.
Also Known As
MapR, MapR Data Platform
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Hewlett Packard Enterprise
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Overview

The BlueData EPIC™ (Elastic Private Instant Clusters) software platform solves the infrastructure challenges and limitations that can slow down and stall Big Data deployments. With EPIC software, you can spin up Hadoop and Spark clusters – with the data and analytical tools that your data scientists need – in minutes rather than months.

Leveraging the power of containers, BlueData EPIC makes it easier, faster, and more cost-effective to deploy Big Data infrastructure and applications—including Hadoop, Spark, Kafka, Cassandra, and more— whether on-premises or in the public cloud. Your data scientists and analysts can use the tools they prefer. You can run it with any shared storage environment, so you don’t have to move your data. And it delivers the enterprise-grade security and governance that your IT teams require.

With the BlueData EPIC software platform, you can provide a highly flexible and secure Big-Data-as-a-Service environment to enable faster time-to-insights and faster time-to-value – now available either on-premises or on AWS.

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 BlueData
Learn more about HPE Ezmeral Data Fabric
Sample Customers
The Advisory Board Company, AIG, Attunity, Comcast, conEdison, HGST, Intellisoft, John Hopkins, Tarleton State University, National Supercomputing Center, Orange, QuantresValence Health, Goodgame Studios, Pico, Terbium Labs, sovrn, Harte Hanks, Quantium, Razorsight, Novartis, Experian, Dentsu ix, Pontis Transitions, DataSong, Return Path, RAPP, HP
Top Industries
No Data Available
VISITORS READING REVIEWS
Computer Software Company31%
Comms Service Provider19%
Financial Services Firm10%
Government6%
Company Size
No Data Available
REVIEWERS
Small Business43%
Large Enterprise57%
Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: January 2021.
456,495 professionals have used our research since 2012.

BlueData is ranked 11th in Hadoop while HPE Ezmeral Data Fabric is ranked 6th in Hadoop with 1 review. BlueData is rated 0.0, while HPE Ezmeral Data Fabric is rated 8.0. 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 ". BlueData is most compared with Cloudera Distribution for Hadoop, Bright Computing, Hortonworks Data Platform and Amazon EMR, whereas HPE Ezmeral Data Fabric is most compared with Cloudera Distribution for Hadoop, Apache Spark, Hortonworks Data Platform, Amazon EMR 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.