Beaker Notebook vs. PySpark Comparison


Beaker Notebook Two Sigma Open Source	PySpark
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Beaker Notebook	PySpark
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Beaker Notebook: 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.	PySpark: About PySpark is an interface for Apache Spark in Python. It not only allows you to write Spark applications using Python APIs, but also provides the PySpark shell for interactively analyzing your data in a distributed environment. PySpark supports most of Spark’s features such as Spark SQL, DataFrame, Streaming, MLlib (Machine Learning) and Spark Core. Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrame and can also act as distributed SQL query engine. Running on top of Spark, the streaming feature in Apache Spark enables powerful interactive and analytical applications across both streaming and historical data, while inheriting Spark’s ease of use and fault tolerance characteristics.
Beaker Notebook: 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	PySpark: Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Beaker Notebook: Audience Companies seeking a collection of kernels and extensions to the Jupyter interactive computing environment	PySpark: Audience Application development solution for DevOps teams
Beaker Notebook: Support Phone Support Supported 24/7 Live Support Not Supported Online Supported	PySpark: Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
Beaker Notebook: API Offers API Not Supported	PySpark: API Offers API Supported
Beaker Notebook: Screenshots and Videos View more images or videos	PySpark: Screenshots and Videos View more images or videos
Beaker Notebook: Pricing No information available. Free Version Supported Free Trial Not Supported	PySpark: Pricing No information available. Free Version Not Supported Free Trial Not Supported
Beaker Notebook: 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	PySpark: 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

Beaker Notebook: Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Supported	PySpark: Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Beaker Notebook: Company Information Two Sigma Open Source BeakerNotebook.com	PySpark: Company Information PySpark spark.apache.org/docs/latest/api/python/
Beaker Notebook: Alternatives Bokeh	PySpark: Alternatives pandas
Beaker Notebook: PySpark	PySpark: Polars
Beaker Notebook: Apache Spark Apache Software Foundation	PySpark: Tumult Analytics
Beaker Notebook: Spark Streaming Apache Software Foundation	PySpark: Apache Spark Apache Software Foundation
Beaker Notebook: IBM Analytics for Apache Spark IBM View All	PySpark: Spark Streaming Apache Software Foundation View All
Beaker Notebook: Categories Application Development Supported	PySpark: Categories Application Development Supported Query Engines Supported
Beaker Notebook: 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
Beaker Notebook: Integrations Amazon SageMaker Data Wrangler Not Supported Apache Spark Not Supported Comet LLM Not Supported Feast Not Supported Fosfor Decision Cloud Not Supported Tecton Not Supported Union Pandera Not Supported	PySpark: Integrations Amazon SageMaker Data Wrangler Supported Apache Spark Supported Comet LLM Supported Feast Supported Fosfor Decision Cloud Supported Tecton Supported Union Pandera Supported View All 7 Integrations
Beaker Notebook: Claim Beaker Notebook and update features and information Claim Beaker Notebook and update features and information	PySpark: Claim PySpark and update features and information Claim PySpark and update features and information