Amazon EMR vs. Beaker Notebook Comparison


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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 BeakerX is a collection of kernels and extensions to the Jupyter interactive computing environment. It provides JVM support, Spark cluster support, polyglot programming, interactive plots, tables, forms, publishing, and more. All of BeakerX’s JVM languages plus Python and JavaScript have APIs for interactive time-series, scatter plots, histograms, heatmaps, and treemaps. The widgets remain interactive in both notebooks saved to disk, and notebooks published to the web. They include unique features for handling many points, nanosecond resolution, zooming, and exporting. BeakerX’s table widget automatically recognizes pandas data frames and allows you to search, sort, drag, filter, format, select, graph, hide, pin, and export to CSV or clipboard. This makes connecting to spreadsheets quickly and easy. BeakerX has a Spark magic with GUIs for configuration, status, progress, and interrupt of Spark jobs. You can either use the GUI or create your own SparkSession with code.
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 Supported Mac Supported Linux Not Supported Cloud Supported On-Premises Not 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 Companies seeking a collection of kernels and extensions to the Jupyter interactive computing environment
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. 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 Not Supported Live Online Not Supported In Person Supported
Company Information Amazon Founded: 1994 United States aws.amazon.com/emr/	Company Information Two Sigma Open Source BeakerNotebook.com
Alternatives AWS Glue Amazon	Alternatives Bokeh
Amazon Athena Amazon	PySpark
Cloudera	Apache Spark Apache Software Foundation
E-MapReduce Alibaba	Spark Streaming Apache Software Foundation
Apache Spark Apache Software Foundation View All	IBM Analytics for Apache Spark IBM View All
Categories Big Data Supported	Categories Application Development Supported
	Show More Features Application Development Features Access Controls/Permissions Supported Code Assistance Not Supported Code Refactoring Supported Collaboration Tools Supported Compatibility Testing Supported Data Modeling Supported Debugging Not Supported Deployment Management Supported Graphical User Interface Supported Mobile Development Not Supported No-Code Supported Reporting/Analytics Supported Software Development Supported Source Control Supported Testing Management Not Supported Version Control Not Supported Web App Development Not Supported
Integrations AWS App Mesh Supported AWS Data Exchange Supported AWS Lake Formation Supported Amazon SageMaker Unified Studio Supported Apache Phoenix Supported Apache Spark Supported Ataccama ONE Supported Gurucul Supported MetricFire Supported Pelanor Supported Presto Supported Privacera Supported Progress DataDirect Supported Prophecy Supported Protegrity Supported Quorso Supported Service Center Supported TrustLogix Supported Unravel Supported Show More Integrations View All 48 Integrations	Integrations AWS App Mesh Not Supported AWS Data Exchange Not Supported AWS Lake Formation Not Supported Amazon SageMaker Unified Studio Not Supported Apache Phoenix Not Supported Apache Spark Not Supported Ataccama ONE Not Supported Gurucul Not Supported MetricFire Not Supported Pelanor Not Supported Presto Not Supported Privacera Not Supported Progress DataDirect Not Supported Prophecy Not Supported Protegrity Not Supported Quorso Not Supported Service Center Not Supported TrustLogix Not Supported Unravel Not Supported Show More Integrations
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