Amazon EMR

Amazon EMR

Amazon
Apache ServiceComb

Apache ServiceComb

ServiceComb
+
+

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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

Open-source, full-stack microservice solution. With out-of-the-box, high performance, compatible with popular ecology, and multi-language support. Service contract guarantee based on OpenAPI. One-click scaffolding, out of the box, speeds up the building of microservice applications. The ecological extension supports multiple development languages such as Java/Golang/PHP/NodeJS. Apache ServiceComb is an open-source solution for microservices. It consists of multiple components that can be flexibly adapted to different scenarios through the combination of components. This guide can help you get started quickly with Apache ServiceComb, which is the best place to start trying for first-time users. To decouple the programming and communication models, so that a programming model can be combined with any communication models as needed. Application developers only need to focus on APIs during development and can flexibly switch communication models during deployment.

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

Developers interested in a full-stack solution to build microservice applications

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

Free
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

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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

ServiceComb
United States
servicecomb.apache.org

Alternatives

Alternatives

ServiceStage

ServiceStage

Huawei Cloud
E-MapReduce

E-MapReduce

Alibaba
Apache Spark

Apache Spark

Apache Software Foundation

Categories

Categories

Integrations

AWS Data Exchange
AWS Step Functions
Amazon S3 Express One Zone
Apache Spark
Ataccama ONE
CopperEgg
Feast
Hadoop
Lyftrondata
Pelanor
Presto
Privacera
Progress DataDirect
Prophecy
Quorso
Saagie
Sifflet
Tecton
definity

Integrations

AWS Data Exchange
AWS Step Functions
Amazon S3 Express One Zone
Apache Spark
Ataccama ONE
CopperEgg
Feast
Hadoop
Lyftrondata
Pelanor
Presto
Privacera
Progress DataDirect
Prophecy
Quorso
Saagie
Sifflet
Tecton
definity
Claim Amazon EMR and update features and information
Claim Amazon EMR and update features and information
Claim Apache ServiceComb and update features and information
Claim Apache ServiceComb and update features and information