Amazon EMR

Amazon EMR

Amazon
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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

DL4J takes advantage of the latest distributed computing frameworks including Apache Spark and Hadoop to accelerate training. On multi-GPUs, it is equal to Caffe in performance. The libraries are completely open-source, Apache 2.0, and maintained by the developer community and Konduit team. Deeplearning4j is written in Java and is compatible with any JVM language, such as Scala, Clojure, or Kotlin. The underlying computations are written in C, C++, and Cuda. Keras will serve as the Python API. Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs. There are a lot of parameters to adjust when you're training a deep-learning network. We've done our best to explain them, so that Deeplearning4j can serve as a DIY tool for Java, Scala, Clojure, and Kotlin programmers.

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

Researchers, developers and professionals requiring an open-source, distributed, deep learning library for the JVM

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

Deeplearning4j
Founded: 2019
Japan
deeplearning4j.org

Alternatives

AWS Glue

AWS Glue

Amazon

Alternatives

MXNet

MXNet

The Apache Software Foundation
Apache Mahout

Apache Mahout

Apache Software Foundation
E-MapReduce

E-MapReduce

Alibaba
MLlib

MLlib

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation

Categories

Categories

Integrations

Apache Spark
Hadoop
AWS Data Pipeline
AWS Step Functions
Amazon SageMaker Data Wrangler
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Apache Hive
Data Virtuality
Feast
IBM watsonx.data integration
Lyftrondata
New Relic
Pelanor
Pepperdata
Progress DataDirect
Quorso
Saagie
Tonic Ephemeral
TrustLogix

Integrations

Apache Spark
Hadoop
AWS Data Pipeline
AWS Step Functions
Amazon SageMaker Data Wrangler
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Apache Hive
Data Virtuality
Feast
IBM watsonx.data integration
Lyftrondata
New Relic
Pelanor
Pepperdata
Progress DataDirect
Quorso
Saagie
Tonic Ephemeral
TrustLogix
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