G2 Vendor Directory

SAS Visual Text Analytics vs. ATLAS.ti

A side-by-side comparison based on G2 review data.

MetricSAS Visual Text Analytics

by SAS Institute

ATLAS.ti

by ATLAS.ti Scientific Software Development GmbH

Overall rating4.64.7
Review count6460
Ease of use9.29.2
Ease of setup8.19.3
Quality of support8.69.8
Meets requirements9.39.4
NPS85.96491282.758621
Small Business20.3%39.0%
Mid-Market7.8%33.9%
Enterprise71.9%27.1%
Total page views70434
Total LLM citations184,103

SAS Visual Text Analytics

SAS Visual Text Analytics is a comprehensive solution designed to extract valuable insights from unstructured text data by leveraging natural language processing (NLP), machine learning, and linguistic rules. This powerful tool enables organizations to efficiently process large volumes of textual information, uncover hidden patterns, and make data-driven decisions. Key Features and Functionality: - Text Mining and Contextual Extraction: Automatically identify and extract key terms, phrases, and concepts from text data, facilitating a deeper understanding of the content.

Pros

  • Modeling
  • User Interface
  • Scalability

ATLAS.ti

Leveraged by brands and academics alike, ATLAS.ti allows anyone to analyze data and uncover valuable insights – no matter which sector you work in. From basic analysis tasks to the most in-depth research projects: With ATLAS.ti, you can easily unlock actionable findings from your qualitative and mixed methods data with intuitive research tools and best-in-class technology: • Get access to native Mac and Win apps, plus our Web version • All features and tools included in one complete software package • Save time and find insights automatically, powered by AI • Experience seamless project

Pros

  • Ease of Use
  • Useful
  • Efficiency
  • Intuitive
  • Time-saving
  • Categorization