Amazon EMR vs. HPE Ezmeral Data Fabric Comparison


Amazon EMR Amazon	HPE Ezmeral Data Fabric Hewlett Packard Enterprise	+	+
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About Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open-source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. With EMR you can run Petabyte-scale analysis at less than half of the cost of traditional on-premises solutions and over 3x faster than standard Apache Spark. For short-running jobs, you can spin up and spin down clusters and pay per second for the instances used. For long-running workloads, you can create highly available clusters that automatically scale to meet demand. If you have existing on-premises deployments of open-source tools such as Apache Spark and Apache Hive, you can also run EMR clusters on AWS Outposts. Analyze data using open-source ML frameworks such as Apache Spark MLlib, TensorFlow, and Apache MXNet. Connect to Amazon SageMaker Studio for large-scale model training, analysis, and reporting.	About Access HPE Ezmeral Data Fabric Software as a fully managed service. Register now for a 300GB instance to try out the latest features and capabilities. Increasingly enterprise data is being distributed across a growing number of locations while at the same time, the demand for insights continues to grow as users expect richer, high-quality data insights. Hybrid cloud solutions offer the best outcomes in terms of cost, data placement, workload control, and user experience. The upside of hybrid is the ability to better match applications with the appropriate services across the application lifecycle. The downside of hybrid is that it adds a new dimension of complexity such as limited data visibility, the need to use multiple analytic formats, and the potential for organizational risk and increased costs.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Companies that want to easily run and scale Apache Spark, Hive, Presto, and other big data frameworks	Audience Companies in need of a fully managed service to achieve data visibility, availability, and federation in a hybrid, multi-cloud world
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Not Supported In Person Not Supported
Company Information Amazon Founded: 1994 United States aws.amazon.com/emr/	Company Information Hewlett Packard Enterprise Founded: 2009 United States www.mapr.com
Alternatives AWS Glue Amazon	Alternatives Talend Data Fabric Qlik
Amazon Athena Amazon	Paxata
Cloudera	Ataccama ONE Ataccama
E-MapReduce Alibaba	EC2 Spot Amazon
Apache Spark Apache Software Foundation View All	Vertica Rocket Software View All
Categories Big Data Supported	Categories Big Data Supported

Integrations Ataccama ONE Supported Progress DataDirect Supported Apache Phoenix Supported Apache Spark Supported EC2 Spot Supported Hadoop Supported IRI DMaaS Not Supported IRI Voracity Not Supported Lyftrondata Supported MetricFire Supported NVIDIA RAPIDS Not Supported Pelanor Supported Pepperdata Supported Protegrity Supported Saagie Supported Service Center Supported Unravel Supported Show More Integrations View All 48 Integrations	Integrations Ataccama ONE Supported Progress DataDirect Supported Apache Phoenix Not Supported Apache Spark Not Supported EC2 Spot Not Supported Hadoop Not Supported IRI DMaaS Supported IRI Voracity Supported Lyftrondata Not Supported MetricFire Not Supported NVIDIA RAPIDS Supported Pelanor Not Supported Pepperdata Not Supported Protegrity Not Supported Saagie Not Supported Service Center Not Supported Unravel Not Supported Show More Integrations View All 15 Integrations
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