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

The Stackable data platform was designed with openness and flexibility in mind. It provides you with a curated selection of the best open source data apps like Apache Kafka, OpenSearch, Trino, and Apache Spark. While other current offerings either push their proprietary solutions or deepen vendor lock-in, Stackable takes a different approach. All data apps work together seamlessly and can be added or removed in no time. Based on Kubernetes, it runs everywhere, on-prem or in the cloud. stackablectl and a Kubernetes cluster are all you need to run your first stackable data platform. Within minutes, you will be ready to start working with your data. Configure your one-line startup command right here. Similar to kubectl, stackablectl is designed to easily interface with the Stackable Data Platform. Use the command line utility to deploy and manage stackable data apps on Kubernetes. With stackablectl, you can create, delete, and update components.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies that want to easily run and scale Apache Spark, Hive, Presto, and other big data frameworks

Audience

Enterprises wanting a solution to deploy and run their data platforms on their sovereign Kubernetes.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

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

Company Information

Stackable
Founded: 2020
Germany
stackable.tech/

Alternatives

AWS Glue

AWS Glue

Amazon

Alternatives

Canvas Credentials

Canvas Credentials

Instructure
E-MapReduce

E-MapReduce

Alibaba
Hercules

Hercules

Leisure Holding
Apache Spark

Apache Spark

Apache Software Foundation

Categories

Big Data Supported

Categories

Data Integration Supported
Data Management Supported
Data Warehouse Supported

Data Management Features

Customer Data Not Supported
Data Analysis Not Supported
Data Capture Not Supported
Data Integration Not Supported
Data Migration Supported
Data Quality Control Not Supported
Data Security Supported
Information Governance Not Supported
Master Data Management Not Supported
Match & Merge Not Supported

Data Warehouse Features

Ad hoc Query Not Supported
Analytics Supported
Data Integration Supported
Data Migration Supported
Data Quality Control Not Supported
ETL - Extract / Transfer / Load Supported
In-Memory Processing Not Supported
Match & Merge Not Supported

Integrations

Apache HBase Supported
Apache Hive Supported
Apache Spark Supported
Amazon S3 Express One Zone Supported
Amazon SageMaker Studio Supported
Apache Druid Not Supported
Apache Kafka Not Supported
Apache Phoenix Supported
CopperEgg Supported
Hadoop Supported
IBM watsonx.data integration Supported
MinIO Not Supported
Okera Supported
Prophecy Supported
Protegrity Supported
Quorso Supported
SAS Studio Supported
Sifflet Supported
Trino Not Supported

Integrations

Apache HBase Supported
Apache Hive Supported
Apache Spark Supported
Amazon S3 Express One Zone Not Supported
Amazon SageMaker Studio Not Supported
Apache Druid Supported
Apache Kafka Supported
Apache Phoenix Not Supported
CopperEgg Not Supported
Hadoop Not Supported
IBM watsonx.data integration Not Supported
MinIO Supported
Okera Not Supported
Prophecy Not Supported
Protegrity Not Supported
Quorso Not Supported
SAS Studio Not Supported
Sifflet Not Supported
Trino Supported
Claim Amazon EMR and update features and information
Claim Amazon EMR and update features and information
Claim Stackable and update features and information
Claim Stackable and update features and information