G2 Vendor Directory

Fortra Data Classification vs. Strac

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

MetricFortra Data Classification

by Fortra

Strac

by Strac

Overall rating4.34.9
Review count2531
Ease of use8.09.7
Ease of setup7.99.7
Quality of support8.69.9
Meets requirements8.89.9
NPS5696.774194
Small Business44.0%48.4%
Mid-Market20.0%51.6%
Enterprise36.0%0.0%
Total page views345455
Total LLM citations1,3271,321

Fortra Data Classification

For organizations struggling with data visibility, a robust data classification solution is often the answer. Not all solutions are built the same, however, as many classification tools struggle to meet organizational requirements, whether because of a lack of schema or metadata, improper policy enforcement, excessive operational overhead, and more. As a result, organizations may find that the benefits of their classification solutions aren’t worth the cost and added complexity for their employees.

Pros

  • Integration Support
  • Security
  • Flexibility
  • Data Protection

Strac

Strac — AI-Native Data Security: DLP & DSPM across SaaS, Cloud, GenAI, and AI Agents (MCP) Strac is an AI-native Data Loss Prevention (DLP) and Data Security Posture Management (DSPM) platform that discovers, classifies, and protects sensitive data everywhere it lives and moves — across SaaS apps, cloud storage and databases, GenAI tools, AI agents (MCP), browsers, endpoints, and email. Data loss used to be an egress problem — files leaving over email, uploads, and copy-paste.

Pros

  • Data Protection
  • Data Security
  • Security
  • Protection
  • Customer Support
  • Ease of Use