Automatic Data Format Detection
Automatic detection of data formats and schemas
Cat avg: 9.2
10 Reviews and Ratings
Automatic detection of data formats and schemas
Cat avg: 9.2
Access to visual processors for data wrangling
Cat avg: 9.1
Use visual tools for standard transformations
Cat avg: 9.1
Access to multiple popular languages, tools, and packages such as R, Python, SAS, Jupyter, RStudio, etc.
Cat avg: 9.2
Data encryption to ensure data privacy
Cat avg: 8.4
The product’s support and tooling for analysis and visualization of data.
Cat avg: 8.2
Ability to connect to a wide variety of data sources including data lakes or data warehouses for data ingestion
Cat avg: 8.7
Ability to connect to a wide variety of data sources
Ability to connect to a wide variety of data sources including data lakes or data warehouses for data ingestion
Category average: 8.7
Automatic detection of data formats and schemas
Category average: 9.2
Ability to explore data and develop insights
The product’s support and tooling for analysis and visualization of data.
Category average: 8.2
Ability to analyze data interactively using Python or R Notebooks
Category average: 8.9
Ability to prepare data for analysis
Access to visual processors for data wrangling
Category average: 9.1
Use visual tools for standard transformations
Category average: 9.1
Data encryption to ensure data privacy
Category average: 8.4
Building predictive data models
Access to multiple popular languages, tools, and packages such as R, Python, SAS, Jupyter, RStudio, etc.
Category average: 9.2
Single place to build, validate, deliver, and monitor many different models
Category average: 9.4
Multiple model delivery modes to comply with existing workflows
Category average: 8.3