Self-Service Model Delivery
Multiple model delivery modes to comply with existing workflows
Cat avg: 8.3
Top Performing Features
Interactive Data Analysis
Ability to analyze data interactively using Python or R Notebooks
Cat avg: 8.8
Flexible Model Publishing Options
Publish models as REST APIs, hosted interactive web apps or as scheduled jobs for generating reports or running ETL tasks.
Cat avg: 9.2
Interactive Data Cleaning and Enrichment
Access to visual processors for data wrangling
Cat avg: 9
Worst Performing Features
Connect to Multiple Data Sources
Ability to connect to a wide variety of data sources including data lakes or data warehouses for data ingestion
Cat avg: 8.8
Visualization
The product’s support and tooling for analysis and visualization of data.
Cat avg: 8.3
Security, Governance, and Cost Controls
Built-in controls to mitigate compliance and audit risk with user activity tracking
Cat avg: 8.6
Posit Features from Reviews
Platform Connectivity
Ability to connect to a wide variety of data sources
9.3+6%
Connect to Multiple Data Sources
Ability to connect to a wide variety of data sources including data lakes or data warehouses for data ingestion
Category average: 8.8
Extend Existing Data Sources
Use R or Python to create custom connectors for any APIs or databases
Category average: 8.9
Automatic Data Format Detection
Automatic detection of data formats and schemas
Category average: 9.2
Data Exploration
Ability to explore data and develop insights
9.0+5%
Visualization
The product’s support and tooling for analysis and visualization of data.
Category average: 8.3
Interactive Data Analysis
Ability to analyze data interactively using Python or R Notebooks
Category average: 8.8
Data Preparation
Ability to prepare data for analysis
10.0+12%
Interactive Data Cleaning and Enrichment
Access to visual processors for data wrangling
Category average: 9
Data Transformations
Use visual tools for standard transformations
Category average: 9.1
Platform Data Modeling
Building predictive data models
10.0+11%
Multiple Model Development Languages and Tools
Access to multiple popular languages, tools, and packages such as R, Python, SAS, Jupyter, RStudio, etc.
Category average: 9.2
Single platform for multiple model development
Single place to build, validate, deliver, and monitor many different models
Category average: 9.5
Self-Service Model Delivery
Multiple model delivery modes to comply with existing workflows
Category average: 8.3
Model Deployment
Tools for deploying models into production
9.9+13%
Flexible Model Publishing Options
Publish models as REST APIs, hosted interactive web apps or as scheduled jobs for generating reports or running ETL tasks.
Category average: 9.2
Security, Governance, and Cost Controls
Built-in controls to mitigate compliance and audit risk with user activity tracking
Category average: 8.6
Posit Features from the Vendor
Platform Connectivity
Vendor-reviewedConnect to Multiple Data Sources
Ability to connect to a wide variety of data sources including data lakes or data warehouses for data ingestion
Extend Existing Data Sources
Use R or Python to create custom connectors for any APIs or databases
Automatic Data Format Detection
Automatic detection of data formats and schemas
Data Exploration
Vendor-reviewedVisualization
The product’s support and tooling for analysis and visualization of data.
Interactive Data Analysis
Ability to analyze data interactively using Python or R Notebooks
Data Preparation
Vendor-reviewedInteractive Data Cleaning and Enrichment
Access to visual processors for data wrangling
Data Transformations
Use visual tools for standard transformations
Platform Data Modeling
Vendor-reviewedMultiple Model Development Languages and Tools
Access to multiple popular languages, tools, and packages such as R, Python, SAS, Jupyter, RStudio, etc.
Single platform for multiple model development
Single place to build, validate, deliver, and monitor many different models
Self-Service Model Delivery
Multiple model delivery modes to comply with existing workflows
Model Deployment
Vendor-reviewedFlexible Model Publishing Options
Publish models as REST APIs, hosted interactive web apps or as scheduled jobs for generating reports or running ETL tasks.
Security, Governance, and Cost Controls
Built-in controls to mitigate compliance and audit risk with user activity tracking
Additional Features
Vendor-contributedShare Data Science insights in the form of Shiny applications, Quarto content, R Markdown reports, Plumber APIs, dashboards, Jupyter Notebooks, and interactive Python content.