Amazon EMRAmazon
|
HPE Ezmeral Data FabricHewlett Packard Enterprise
|
|||||
Related Products
|
||||||
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/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/emr/
|
Company InformationHewlett Packard Enterprise
Founded: 2009
United States
www.mapr.com
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
|
|||||
|
|
|
|||||
Categories |
Categories |
|||||
Integrations
Ataccama ONE
Progress DataDirect
AWS App Mesh
AWS Data Pipeline
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Apache Hive
CopperEgg
Data Virtuality
Decision Moments
|
Integrations
Ataccama ONE
Progress DataDirect
AWS App Mesh
AWS Data Pipeline
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Apache Hive
CopperEgg
Data Virtuality
Decision Moments
|
|||||
|
|
|