Amazon EMRAmazon
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Apache ServiceMixApache Software Foundation
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Related Products
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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.
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About
Apache ServiceMix is a flexible, open-source integration container that unifies the features and functionality of Apache ActiveMQ, Camel, CXF, and Karaf into a powerful runtime platform you can use to build your own integrations solutions. It provides a complete, enterprise ready ESB exclusively powered by OSGi. Reliable messaging with Apache ActiveMQ. Messaging, routing and Enterprise Integration Patterns with Apache Camel. WS and RESTful web services with Apache CXF. OSGi-based server runtime powered by Apache Karaf. BPM engine via Activiti. Full JPA support via Apache OpenJPA. XA transaction management via JTA via Apache Aries. Legacy support for the JBI standard (deprecated after the ServiceMix 3.x series) through the Apache ServiceMix NMR that includes a rich Event, Messaging and Audit API. Applications for ServiceMix can be built using OSGi Blueprint, OSGi Declarative Services, and Spring DM (legacy).
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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
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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
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Audience
Companies that want to easily run and scale Apache Spark, Hive, Presto, and other big data frameworks
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Audience
Enterprises in need of an open-source integration container solution that unifies the functionality of connected applications
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/emr/
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Company InformationApache Software Foundation
Founded: 1999
United States
servicemix.apache.org
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
AWS Data Pipeline
Supported
AWS Lake Formation
Supported
Activiti
Not Supported
Amazon S3 Express One Zone
Supported
Amazon SageMaker Data Wrangler
Supported
Apache CXF
Not Supported
Apache HBase
Supported
Apache Hive
Supported
EC2 Spot
Supported
Lyftrondata
Supported
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Integrations
AWS Data Pipeline
Not Supported
AWS Lake Formation
Not Supported
Activiti
Supported
Amazon S3 Express One Zone
Not Supported
Amazon SageMaker Data Wrangler
Not Supported
Apache CXF
Supported
Apache HBase
Not Supported
Apache Hive
Not Supported
EC2 Spot
Not Supported
Lyftrondata
Not Supported
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