Amazon EMRAmazon
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Related Products
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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.
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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.
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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
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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
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Audience
Companies that want to easily run and scale Apache Spark, Hive, Presto, and other big data frameworks
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Audience
Enterprises wanting a solution to deploy and run their data platforms on their sovereign Kubernetes.
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/emr/
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Company InformationStackable
Founded: 2020
Germany
stackable.tech/
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Alternatives |
Alternatives |
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Categories |
Categories |
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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
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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
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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
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