Amazon EMR

Amazon EMR

Amazon
MXNet

MXNet

The Apache Software Foundation
+

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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

A hybrid front-end seamlessly transitions between Gluon eager imperative mode and symbolic mode to provide both flexibility and speed. Scalable distributed training and performance optimization in research and production is enabled by the dual parameter server and Horovod support. Deep integration into Python and support for Scala, Julia, Clojure, Java, C++, R and Perl. A thriving ecosystem of tools and libraries extends MXNet and enables use-cases in computer vision, NLP, time series and more. Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision-making process have stabilized in a manner consistent with other successful ASF projects. Join the MXNet scientific community to contribute, learn, and get answers to your questions.

About

Unlambda is a programming language. Nothing remarkable there. The originality of Unlambda is that it stands as the unexpected intersection of two marginal families of languages. Functional programming languages, of which the canonical representative is Scheme (a Lisp dialect). This means that the basic object manipulated by the language (and indeed the only one as far as Unlambda is concerned) is the function. Rather, Unlambda uses a functional approach to programming: the only form of objects it manipulates are functions. Each function takes a function as an argument and returns a function. Apart from a binary “apply” operation, Unlambda provides several built-in functions (the most important ones being the K and S combinators). User-defined functions can be created, but not saved or named, because Unlambda does not have any variables.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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 and researchers requiring an open-source deep learning framework for research prototyping and production

Audience

Developers in need of an advanced Programming Language solution

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

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

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

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/emr/

Company Information

The Apache Software Foundation
Founded: 1999
United States
mxnet.apache.org

Company Information

Unlambda
www.madore.org/~david/programs/unlambda/

Alternatives

Alternatives

Alternatives

Racket

Racket

Racket Language
E-MapReduce

E-MapReduce

Alibaba
Apache Spark

Apache Spark

Apache Software Foundation
Caffe

Caffe

BAIR
Zig

Zig

Zig Software Foundation

Categories

Categories

Categories

Integrations

AWS App Mesh
AWS Step Functions
Activeeon ProActive
Amazon EC2 Inf1 Instances
Amazon S3 Express One Zone
Amazon SageMaker Data Wrangler
Amazon SageMaker Unified Studio
Cameralyze
Data Virtuality
Feast
Flower
GPUonCLOUD
Gurucul
Horovod
MLReef
NVIDIA Triton Inference Server
Saagie
Tecton
Tonic Ephemeral
Unravel

Integrations

AWS App Mesh
AWS Step Functions
Activeeon ProActive
Amazon EC2 Inf1 Instances
Amazon S3 Express One Zone
Amazon SageMaker Data Wrangler
Amazon SageMaker Unified Studio
Cameralyze
Data Virtuality
Feast
Flower
GPUonCLOUD
Gurucul
Horovod
MLReef
NVIDIA Triton Inference Server
Saagie
Tecton
Tonic Ephemeral
Unravel

Integrations

AWS App Mesh
AWS Step Functions
Activeeon ProActive
Amazon EC2 Inf1 Instances
Amazon S3 Express One Zone
Amazon SageMaker Data Wrangler
Amazon SageMaker Unified Studio
Cameralyze
Data Virtuality
Feast
Flower
GPUonCLOUD
Gurucul
Horovod
MLReef
NVIDIA Triton Inference Server
Saagie
Tecton
Tonic Ephemeral
Unravel
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