TrustRadius: an HG Insights company

Stata

Score8.8 out of 10

10 Reviews and Ratings

Top Performing Features

+9%

Automatic Data Format Detection

Automatic detection of data formats and schemas

Cat avg: 9.2

+10%

Interactive Data Cleaning and Enrichment

Access to visual processors for data wrangling

Cat avg: 9.1

+10%

Data Transformations

Use visual tools for standard transformations

Cat avg: 9.1

+9%

Multiple Model Development Languages and Tools

Access to multiple popular languages, tools, and packages such as R, Python, SAS, Jupyter, RStudio, etc.

Cat avg: 9.2

Worst Performing Features

-40%

Data Encryption

Data encryption to ensure data privacy

Cat avg: 8.4

-15%

Visualization

The product’s support and tooling for analysis and visualization of data.

Cat avg: 8.2

-8%

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: 8.7

Stata Features from Reviews

Platform Connectivity

Ability to connect to a wide variety of data sources

9+3%
  • 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: 8.7

  • Automatic Data Format Detection

    Automatic detection of data formats and schemas

    Category average: 9.2

Data Exploration

Ability to explore data and develop insights

8-7%
  • Visualization

    The product’s support and tooling for analysis and visualization of data.

    Category average: 8.2

  • Interactive Data Analysis

    Ability to analyze data interactively using Python or R Notebooks

    Category average: 8.9

Data Preparation

Ability to prepare data for analysis

8.3-6%
  • Interactive Data Cleaning and Enrichment

    Access to visual processors for data wrangling

    Category average: 9.1

  • Data Transformations

    Use visual tools for standard transformations

    Category average: 9.1

  • Data Encryption

    Data encryption to ensure data privacy

    Category average: 8.4

Platform Data Modeling

Building predictive data models

10+12%
  • 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: 9.4

  • Self-Service Model Delivery

    Multiple model delivery modes to comply with existing workflows

    Category average: 8.3