Amazon EMRAmazon
|
Apache ServiceCombServiceComb
|
|||||
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
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/
|
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 InformationServiceComb
United States
servicecomb.apache.org
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
AWS Data Exchange
AWS Step Functions
Amazon S3 Express One Zone
Apache Spark
Ataccama ONE
CopperEgg
Feast
Hadoop
Lyftrondata
Pelanor
|
Integrations
AWS Data Exchange
AWS Step Functions
Amazon S3 Express One Zone
Apache Spark
Ataccama ONE
CopperEgg
Feast
Hadoop
Lyftrondata
Pelanor
|
|||||
|
|
|