Connect to Multiple Data Sources
Cat avg: 8.8
Jupyter Notebook
130 Reviews and Ratings
Top Performing Features
Extend Existing Data Sources
Cat avg: 8.9
Interactive Data Cleaning and Enrichment
Cat avg: 9
Data Transformations
Cat avg: 9.1
Worst Performing Features
Visualization
Cat avg: 8.3
MDM Integration
Cat avg: 7.8
Self-Service Model Delivery
Cat avg: 8.3
Jupyter Notebook Features from Reviews
Platform Connectivity
Ability to connect to a wide variety of data sources
9.0+2%
Connect to Multiple Data Sources
Category average: 8.8
Extend Existing Data Sources
Category average: 8.9
Automatic Data Format Detection
Category average: 9.2
MDM Integration
Category average: 7.8
Data Exploration
Ability to explore data and develop insights
7-19%
Visualization
Category average: 8.3
Interactive Data Analysis
Category average: 8.8
Data Preparation
Ability to prepare data for analysis
9.5+6%
Interactive Data Cleaning and Enrichment
Category average: 9
Data Transformations
Category average: 9.1
Data Encryption
Category average: 8.4
Built-in Processors
Category average: 9
Platform Data Modeling
Building predictive data models
9.3+3%
Multiple Model Development Languages and Tools
Category average: 9.2
Automated Machine Learning
Category average: 8.9
Single platform for multiple model development
Category average: 9.5
Self-Service Model Delivery
Category average: 8.3
Model Deployment
Tools for deploying models into production
10+14%
Flexible Model Publishing Options
Category average: 9.2
Security, Governance, and Cost Controls
Category average: 8.6