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Datalore serves as a collaborative data science and analytics platform designed to enhance the analytics workflow, making data interaction more enjoyable for both data scientists and business teams with analytical skills. This platform prioritizes the efficiency of data teams, enabling technically skilled business users to engage with data teams through no-code and low-code solutions alongside the robust capabilities of Jupyter Notebooks. With Datalore, business users can enjoy analytic self-service by utilizing SQL or no-code cells, generating reports, and exploring data in depth. This functionality also allows core data teams to concentrate on more complex tasks, thus streamlining their workflow. Moreover, Datalore facilitates seamless collaboration between data scientists and analysts, enabling them to share their findings with ML Engineers. Users can effortlessly share their code with ML Engineers who have access to powerful CPUs and GPUs, all while collaborating in real time with colleagues for improved productivity and creativity. Ultimately, Datalore seeks to bridge the gap between technical and non-technical users, fostering a truly collaborative environment in the data science field.
What is Cloudera Data Science Workbench?
Facilitate the transition of machine learning from conceptual frameworks to real-world applications with an intuitive experience designed for your traditional platform. Cloudera Data Science Workbench (CDSW) offers a convenient environment for data scientists, enabling them to utilize Python, R, and Scala directly from their web browsers. Users can easily download and investigate the latest libraries and frameworks within adaptable project configurations that replicate the capabilities of their local setups. CDSW guarantees solid connectivity not only to CDH and HDP but also to critical systems that bolster your data science teams in their analytical tasks. In addition, Cloudera Data Science Workbench allows data scientists to manage their analytics pipelines autonomously, incorporating built-in scheduling, monitoring, and email notifications. This platform not only fosters the rapid development and prototyping of cutting-edge machine learning projects but also streamlines the deployment process into a production setting. With these workflows made more efficient, teams can prioritize delivering meaningful outcomes while enhancing their collaborative efforts. Ultimately, this shift encourages a more productive environment for innovation in data science.
Integrations Supported
Amazon S3
Amazon SageMaker
Cloudera
Cloudera Data Platform
Code With Me
EDB Postgres Advanced Server
Google Cloud Platform
Goose
IBM Db2 Big SQL
JetBrains Gateway
Integrations Supported
Amazon S3
Amazon SageMaker
Cloudera
Cloudera Data Platform
Code With Me
EDB Postgres Advanced Server
Google Cloud Platform
Goose
IBM Db2 Big SQL
JetBrains Gateway
API Availability
Has API
API Availability
Has API
Pricing Information
$19.90 per month
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
JetBrains
Date Founded
2000
Company Location
Czech Republic
Company Website
www.jetbrains.com/datalore/
Company Facts
Organization Name
Cloudera
Date Founded
2008
Company Location
United States
Company Website
www.cloudera.com/products/data-science-and-engineering/data-science-workbench.html
Categories and Features
Code Collaboration
Audio Conferencing
Chat / Messaging
Code Review
Discussion Threads
IDE Integration
Remote Control
Remote Pair Programming
Screen Sharing
Video Conferencing
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
IDE
Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor
Categories and Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports