Amazon EMR

Amazon EMR

Amazon
HPE Ezmeral Data Fabric

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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/emr/

Company Information

Hewlett Packard Enterprise
Founded: 2009
United States
www.mapr.com

Alternatives

Alternatives

Ataccama ONE

Ataccama ONE

Ataccama
E-MapReduce

E-MapReduce

Alibaba
EC2 Spot

EC2 Spot

Amazon
Apache Spark

Apache Spark

Apache Software Foundation
Vertica

Vertica

Rocket Software

Categories

Categories

Integrations

Ataccama ONE
Progress DataDirect
AWS App Mesh
AWS Data Pipeline
Amazon S3 Express One Zone
Amazon SageMaker Unified Studio
CopperEgg
Data Virtuality
Decision Moments
NVIDIA RAPIDS
Okera
Pepperdata
Privacera
Saagie
Service Center
Sifflet
Tonic Ephemeral
Unravel
Zepl

Integrations

Ataccama ONE
Progress DataDirect
AWS App Mesh
AWS Data Pipeline
Amazon S3 Express One Zone
Amazon SageMaker Unified Studio
CopperEgg
Data Virtuality
Decision Moments
NVIDIA RAPIDS
Okera
Pepperdata
Privacera
Saagie
Service Center
Sifflet
Tonic Ephemeral
Unravel
Zepl
Claim Amazon EMR and update features and information
Claim Amazon EMR and update features and information
Claim HPE Ezmeral Data Fabric and update features and information
Claim HPE Ezmeral Data Fabric and update features and information