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Head-to-head · Data Discovery and Classification Software

Strac Data Classification vs Netwrix Data Classification

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Strac Data Classification #5 in Data Discovery and Classification Software 8.9/10 Pricing on request ✓ 4 of 4 features Visit Strac
Netwrix Data Classification #8 in Data Discovery and Classification Software 8.6/10 Pricing on request · 180-day trial Free trial✓ 4 of 4 features Visit Netwrix

Strac Data Classification leads on 0 checks, Netwrix Data Classification on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreStrac Data Classification · 8.9/10
  • Free trialonly Netwrix Data Classification

Strac Data Classification scores higher on our rubric for data discovery and classification software: 8.9 against 8.6 out of 10; our editors rank them #5 and #8.

On classification automation, Strac Data Classification gives you Hybrid where Netwrix Data Classification offers Rule_based. On deployment, Strac Data Classification gives you Hybrid where Netwrix Data Classification offers Self_hosted.

Strac Data Classification is the better fit for real-time SaaS and endpoint classification. Netwrix Data Classification is the better fit for microsoft-heavy compliance classification.

  • Strac Data Classification fits best

    Real-time SaaS and endpoint classification

  • Netwrix Data Classification fits best

    Microsoft-heavy compliance classification

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Side by side

Feature Strac Data Classification 8.9/10 Visit ↗ Netwrix Data Classification 8.6/10 Visit ↗
At a glance
Editor score 8.9 8.6
Ranking #5 in Data Discovery and Classification Software #8 in Data Discovery and Classification Software
Best for Real-time SaaS and endpoint classification Microsoft-heavy compliance classification
Pricing model Paid Paid
Starting price Pricing on request Pricing on request · 180-day trial
Free plan Not checked yet —
Free trial — 180 days
Deployment Cloud, Self-hosted, Browser extension Self-hosted, Browser extension
Platforms Web, Windows, macOS, Linux, Chrome extension Web, Windows
Support Email, Phone, Docs Tickets, Phone, Community, Docs
Compliance SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS GDPR, HIPAA, PCI DSS
Integrations 18 integrations 14 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Strac Data Classification 4/4 · Netwrix Data Classification 4/4
Structured data discovery ✓ ✓
Unstructured data discovery ✓ ✓
Custom classifications ✓ ✓
API access ✓ ✓
Specs
Data source types SaaS applications, cloud services, endpoints, databases, file shares, logs, documents, email, chat, and AI tools file systems; SharePoint; OneDrive for Business; SQL Server; MySQL; Oracle Database; PostgreSQL; Box; Dropbox; Exchange; Google Drive; Outlook Mail Archive
Classification automation Hybrid Rule_based
Deployment Hybrid Self_hosted
Our review
Pros
  • Covers SaaS, cloud, databases, files, messages, and attachments
  • Combines machine learning, OCR, predefined policies, and custom classification
  • Supports redaction, masking, blocking, deletion, encryption, and access revocation
  • Covers files, databases, email, and cloud repositories
  • Combines predefined and custom taxonomies with rule-based classification
  • Adds ROT cleanup, compliance reporting, and automated remediation
Cons
  • Quote-based pricing requires a sales conversation
  • Hybrid deployment may require coordination across environments
  • Broad coverage may exceed the needs of narrowly focused teams
  • Pricing requires contacting sales rather than choosing a published tier
  • Self-hosted deployment requires a separate server for indexing and classification
  • Classification labels are limited to supported document metadata
Our verdict

Strac Data Classification is designed for security and compliance teams that need to discover and classify sensitive information across SaaS applications, cloud services, endpoints, databases, file shares, logs, documents, email, chat, and…

Read the review →

Netwrix Data Classification is designed to discover, classify, and help protect sensitive and business-critical information across enterprise environments. It covers file systems, databases, email, and cloud repositories, with support for…

Read the review →
  1. Strac Data ClassificationData Discovery and Classification Software 8.9Pricing on request
  2. Netwrix Data ClassificationData Discovery and Classification Software 8.6Pricing on request · 180-day trial

Strengths and trade-offs

  • Strac Data Classification — where it wins

    • Covers SaaS, cloud, databases, files, messages, and attachments
    • Combines machine learning, OCR, predefined policies, and custom classification
    • Supports redaction, masking, blocking, deletion, encryption, and access revocation

    Where it doesn't

    • Quote-based pricing requires a sales conversation
    • Hybrid deployment may require coordination across environments
    • Broad coverage may exceed the needs of narrowly focused teams
  • Netwrix Data Classification — where it wins

    • Covers files, databases, email, and cloud repositories
    • Combines predefined and custom taxonomies with rule-based classification
    • Adds ROT cleanup, compliance reporting, and automated remediation

    Where it doesn't

    • Pricing requires contacting sales rather than choosing a published tier
    • Self-hosted deployment requires a separate server for indexing and classification
    • Classification labels are limited to supported document metadata
  • Strac Data Classification8.9/10 · Pricing on request

    Broad discovery and automated protection for real-time SaaS and endpoint classification.

    Visit StracFull verdict →
  • Netwrix Data Classification8.6/10 · Pricing on request · 180-day trial

    A broad, agentless classification platform for Microsoft-heavy compliance programs.

    Visit NetwrixFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update