We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
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. Your data scientists and analysts can . 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
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.
BlueData is ranked 11th in Hadoop while HPE Ezmeral Data Fabric is ranked 5th 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.
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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.