Amazon EMR

Amazon EMR

Amazon

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

Apache PredictionIO® is an open-source machine learning server built on top of a state-of-the-art open-source stack for developers and data scientists to create predictive engines for any machine learning task. It lets you quickly build and deploy an engine as a web service on production with customizable templates. Respond to dynamic queries in real-time once deployed as a web service, evaluate and tune multiple engine variants systematically, and unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics. Speed up machine learning modeling with systematic processes and pre-built evaluation measures, support machine learning and data processing libraries such as Spark MLLib and OpenNLP. Implement your own machine learning models and seamlessly incorporate them into your engine. Simplify data infrastructure management. Apache PredictionIO® can be installed as a full machine learning stack, bundled with Apache Spark, MLlib, HBase, Akka HTTP, etc.

About

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets. We are happy to receive feedback and contributions. Deequ depends on Java 8. Deequ version 2.x only runs with Spark 3.1, and vice versa. If you rely on a previous Spark version, please use a Deequ 1.x version (legacy version is maintained in legacy-spark-3.0 branch). We provide legacy releases compatible with Apache Spark versions 2.2.x to 3.0.x. The Spark 2.2.x and 2.3.x releases depend on Scala 2.11 and the Spark 2.4.x, 3.0.x, and 3.1.x releases depend on Scala 2.12. Deequ's purpose is to "unit-test" data to find errors early, before the data gets fed to consuming systems or machine learning algorithms. In the following, we will walk you through a toy example to showcase the most basic usage of our library.

About

JavaScript is a scripting language and programming language for the web that enables developers to build dynamic elements on the web. Over 97% of the websites in the world use client-side JavaScript. JavaScript is one of the most important scripting languages on the web. Strings in JavaScript are contained within a pair of either single quotation marks '' or double quotation marks "". Both quotes represent Strings but be sure to choose one and STICK WITH IT. If you start with a single quote, you need to end with a single quote. There are pros and cons to using both IE single quotes tend to make it easier to write HTML within Javascript as you don’t have to escape the line with a double quote. Let’s say you’re trying to use quotation marks inside a string. You’ll need to use opposite quotation marks inside and outside of JavaScript single or double quotes.

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

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 data scientists searching for a solution to create predictive engines

Audience

Anyone looking for an Unit Testing solution that measures data quality in large datasets

Audience

Web developers and anyone looking for a mobile solution for running and developing web content

Support

Phone Support
24/7 Live Support
Online

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

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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ease 0.0 / 5
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design 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

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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

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Training

Documentation
Webinars
Live Online
In Person

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

Apache
United States
predictionio.apache.org

Company Information

Deequ
github.com/awslabs/deequ

Company Information

JavaScript
Founded: 1995
United States
javascript.com

Alternatives

Alternatives

MLlib

MLlib

Apache Software Foundation

Alternatives

Spark Streaming

Spark Streaming

Apache Software Foundation

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation
AssemblyScript

AssemblyScript

The AssemblyScript Project
Amazon EMR

Amazon EMR

Amazon
Apache Spark

Apache Spark

Apache Software Foundation
E-MapReduce

E-MapReduce

Alibaba
MLlib

MLlib

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
Apache Mahout

Apache Mahout

Apache Software Foundation
Apache Mahout

Apache Mahout

Apache Software Foundation

Categories

Categories

Categories

Categories

Integrations

Appier AIRIS
CRS Credit API
Cosine Genie
DB PowerStudio
ERNIE 4.5
Falcon Mamba 7B
Gemini 3 Pro
Launch Leopard
Magma
MarsCode
MileMaker
NbliK
Progress DataDirect
PyCharm
Shadow Realm
Synexa
Tabnine
TrustLogix
V Programming Language
Voiceflow

Integrations

Appier AIRIS
CRS Credit API
Cosine Genie
DB PowerStudio
ERNIE 4.5
Falcon Mamba 7B
Gemini 3 Pro
Launch Leopard
Magma
MarsCode
MileMaker
NbliK
Progress DataDirect
PyCharm
Shadow Realm
Synexa
Tabnine
TrustLogix
V Programming Language
Voiceflow

Integrations

Appier AIRIS
CRS Credit API
Cosine Genie
DB PowerStudio
ERNIE 4.5
Falcon Mamba 7B
Gemini 3 Pro
Launch Leopard
Magma
MarsCode
MileMaker
NbliK
Progress DataDirect
PyCharm
Shadow Realm
Synexa
Tabnine
TrustLogix
V Programming Language
Voiceflow

Integrations

Appier AIRIS
CRS Credit API
Cosine Genie
DB PowerStudio
ERNIE 4.5
Falcon Mamba 7B
Gemini 3 Pro
Launch Leopard
Magma
MarsCode
MileMaker
NbliK
Progress DataDirect
PyCharm
Shadow Realm
Synexa
Tabnine
TrustLogix
V Programming Language
Voiceflow
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