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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Enhance the transition of machine learning from theoretical research to practical application with a seamless experience tailored for your conventional platform. Cloudera Data Science Workbench (CDSW) offers a user-friendly environment for data scientists, allowing them to work with Python, R, and Scala right in their web browsers. Users can download and explore the newest libraries and frameworks within customizable project settings that mirror the functionality of their local machines. CDSW ensures robust connectivity not only to CDH and HDP but also to the essential systems that support your data science teams in their analytical endeavors. Furthermore, Cloudera Data Science Workbench empowers data scientists to oversee their analytics pipelines independently, featuring integrated scheduling, monitoring, and email notifications. This platform enables rapid development and prototyping of innovative machine learning initiatives while simplifying the deployment process into a production environment. By streamlining these workflows, teams can focus on delivering impactful results more efficiently.

Description

Scala seamlessly integrates both object-oriented and functional programming paradigms into a single, elegant high-level language. With its static type system, Scala minimizes the likelihood of errors in intricate applications, while its compatibility with JVM and JavaScript allows developers to create efficient systems that can leverage extensive libraries. The Scala compiler is adept in managing static types, meaning that in most instances, you don't need to specify variable types; its robust type inference handles this automatically. Structural data types in Scala are represented by case classes, which automatically provide well-defined methods for toString, equals, and hashCode, in addition to enabling deconstruction through pattern matching. Moreover, in Scala, functions are treated as first-class citizens, allowing for the creation of anonymous functions using a streamlined syntax. This versatility makes Scala an appealing choice for developers seeking a language that combines the best of both programming worlds.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

ChatGPT No 
Claude No 
Claude Opus 5 No 
Databricks No 
DeepSeek-V4-Pro No 
GPT-4o mini No 
GPT-5.6 Sol Ultrafast No 
GPT-5.6 Terra No 
Gemma 2 No 
Google AI Plus No 
JetBrains Projector No 
Llama 4 Behemoth No 
Mistral Large No 
Mistral NeMo No 
OpenAI o1-mini No 
PaizaCloud No 
Qwen-7B No 
Snipplr No 
Sonatype Nexus Repository No 

Integrations

ChatGPT Yes 
Claude Yes 
Claude Opus 5 Yes 
Databricks Yes 
DeepSeek-V4-Pro Yes 
GPT-4o mini Yes 
GPT-5.6 Sol Ultrafast Yes 
GPT-5.6 Terra Yes 
Gemma 2 Yes 
Google AI Plus Yes 
JetBrains Projector Yes 
Llama 4 Behemoth Yes 
Mistral Large Yes 
Mistral NeMo Yes 
OpenAI o1-mini Yes 
PaizaCloud Yes 
Qwen-7B Yes 
Snipplr Yes 
Sonatype Nexus Repository Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
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 Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Cloudera

Founded

2008

Country

United States

Website

www.cloudera.com/products/data-science-and-engineering/data-science-workbench.html

Vendor Details

Company Name

Scala

Website

www.scala-lang.org

Product Features

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

Product Features

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