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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Harness the power of your data and create innovative artificial intelligence (AI) solutions using Azure Databricks, where you can establish your Apache Spark™ environment in just minutes, enable autoscaling, and engage in collaborative projects within a dynamic workspace. This platform accommodates multiple programming languages such as Python, Scala, R, Java, and SQL, along with popular data science frameworks and libraries like TensorFlow, PyTorch, and scikit-learn. With Azure Databricks, you can access the most current versions of Apache Spark and effortlessly connect with various open-source libraries. You can quickly launch clusters and develop applications in a fully managed Apache Spark setting, benefiting from Azure's expansive scale and availability. The clusters are automatically established, optimized, and adjusted to guarantee reliability and performance, eliminating the need for constant oversight. Additionally, leveraging autoscaling and auto-termination features can significantly enhance your total cost of ownership (TCO), making it an efficient choice for data analysis and AI development. This powerful combination of tools and resources empowers teams to innovate and accelerate their projects like never before.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Ango Hub Yes 
Artie Yes 
Azure Confidential Computing Yes 
Azure Marketplace Yes 
Capital One Slingshot Yes 
Data Commerce Cloud Yes 
EPIC Yes 
HStreamDB Yes 
Harbr Yes 
Kedro Yes 
LOGIQ Yes 
LynxCare Yes 
Medical LLM Yes 
Microsoft Power BI Yes 
Nucleon Database Master Yes 
Openbridge Yes 
Quaeris Yes 
VE3 DataWise Yes 
ZenML Yes 

Integrations

Ango Hub No 
Artie No 
Azure Confidential Computing No 
Azure Marketplace No 
Capital One Slingshot No 
Data Commerce Cloud No 
EPIC No 
HStreamDB No 
Harbr No 
Kedro No 
LOGIQ No 
LynxCare No 
Medical LLM No 
Microsoft Power BI No 
Nucleon Database Master No 
Openbridge No 
Quaeris No 
VE3 DataWise No 
ZenML No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

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

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/services/databricks/

Vendor Details

Company Name

Two Sigma Open Source

Website

BeakerNotebook.com

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

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 

Alternatives

Alternatives

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