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

Amazon Redshift is a cloud-based data warehouse solution from AWS designed to deliver high-performance analytics and support modern AI-driven workloads. The platform enables organizations to analyze large volumes of structured and unstructured data across data warehouses, data lakes, and third-party sources using SQL. Redshift is built for scalability and cost efficiency, offering improved throughput and price-performance with AWS Graviton-powered RG instances and Redshift Serverless options. The solution also supports near real-time analytics through zero-ETL integrations that connect operational databases, streaming services, and enterprise applications without complex data pipelines. Amazon Redshift integrates with Amazon SageMaker and Amazon Bedrock to support advanced machine learning, analytics, and generative AI use cases.

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

Enterprises, data engineers, business intelligence teams, analytics professionals, developers, and organizations seeking scalable cloud data warehousing, real-time analytics, and AI-driven data processing capabilities

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

$0.543 per hour
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

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

Alternatives

Alternatives

E-MapReduce

E-MapReduce

Alibaba
Vertica

Vertica

Rocket Software
Apache Spark

Apache Spark

Apache Software Foundation

Categories

Categories

Integrations

AWS Lake Formation
Amazon SageMaker Unified Studio
Ataccama ONE
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Immuta
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Okera
Pelanor
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Progress DataDirect
Protegrity
Quorso
SAS Studio
Sifflet
Tonic Ephemeral
Veza
Zepl

Integrations

AWS Lake Formation
Amazon SageMaker Unified Studio
Ataccama ONE
CopperEgg
Feast
IBM watsonx.data integration
Immuta
MetricFire
New Relic
Okera
Pelanor
Privacera
Progress DataDirect
Protegrity
Quorso
SAS Studio
Sifflet
Tonic Ephemeral
Veza
Zepl
Claim Amazon EMR and update features and information
Claim Amazon EMR and update features and information
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