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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

BeakerX is an extensive suite of kernels and enhancements designed for the Jupyter interactive computing platform. It offers support for the JVM, Spark clusters, and polyglot programming, alongside features like interactive visualizations, tables, forms, and publishing capabilities. Each of BeakerX's supported JVM languages, in addition to Python and JavaScript, is equipped with APIs for generating interactive time-series, scatter plots, histograms, heatmaps, and treemaps. The interactive widgets retain their functionality in both saved notebooks and those shared online, featuring specialized tools for managing large datasets, nanosecond precision, zooming capabilities, and export options. Additionally, BeakerX's table widget seamlessly integrates with pandas data frames, enabling users to easily search, sort, drag, filter, format, select, graph, hide, pin, and export data to CSV or clipboard, facilitating quick connections to spreadsheets. Furthermore, BeakerX includes a Spark magic interface, complete with graphical user interfaces for managing configuration, monitoring status and progress, and interrupting Spark jobs, allowing users the flexibility to either utilize the GUI or programmatically create their own SparkSession. In this way, it significantly enhances the efficiency and usability of data processing and analysis tasks within the Jupyter environment.

Description

You determine the cluster size, node specifications, and a range of services, while Yandex Data Proc effortlessly sets up and configures Spark, Hadoop clusters, and additional components. Collaboration is enhanced through the use of Zeppelin notebooks and various web applications via a user interface proxy. You maintain complete control over your cluster with root access for every virtual machine. Moreover, you can install your own software and libraries on active clusters without needing to restart them. Yandex Data Proc employs instance groups to automatically adjust computing resources of compute subclusters in response to CPU usage metrics. Additionally, Data Proc facilitates the creation of managed Hive clusters, which helps minimize the risk of failures and data loss due to metadata issues. This service streamlines the process of constructing ETL pipelines and developing models, as well as managing other iterative operations. Furthermore, the Data Proc operator is natively integrated into Apache Airflow, allowing for seamless orchestration of data workflows. This means that users can leverage the full potential of their data processing capabilities with minimal overhead and maximum efficiency.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Apache Airflow No 
Apache Flume No 
Apache HBase No 
Apache Hive No 
Apache Spark No 
Apache Zeppelin No 
Hadoop No 
Matplotlib No 
NumPy No 
Python No 
TensorFlow No 
Yandex Cloud No 
Yandex DataSphere No 
pandas No 
scikit-image No 

Integrations

Apache Airflow Yes 
Apache Flume Yes 
Apache HBase Yes 
Apache Hive Yes 
Apache Spark Yes 
Apache Zeppelin Yes 
Hadoop Yes 
Matplotlib Yes 
NumPy Yes 
Python Yes 
TensorFlow Yes 
Yandex Cloud Yes 
Yandex DataSphere Yes 
pandas Yes 
scikit-image Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

$0.19 per hour
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Two Sigma Open Source

Website

BeakerNotebook.com

Vendor Details

Company Name

Yandex

Founded

1997

Country

Russia

Website

cloud.yandex.com/en/services/data-proc

Product Features

Application Development

Access Controls/Permissions Yes 
Code Assistance No 
Code Refactoring Yes 
Collaboration Tools Yes 
Compatibility Testing Yes 
Data Modeling Yes 
Debugging No 
Deployment Management Yes 
Graphical User Interface Yes 
Mobile Development No 
No-Code Yes 
Reporting/Analytics Yes 
Software Development Yes 
Source Control Yes 
Testing Management No 
Version Control No 
Web App Development No 

Product Features

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