Head-to-head · Sensitive Data Discovery Software
Rubrik Data Discovery and Classification vs Ground Labs Enterprise Recon
Rubrik Data Discovery and Classification leads on 0 checks, Ground Labs Enterprise Recon on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreRubrik Data Discovery and Classification · 8.7/10
Rubrik Data Discovery and Classification scores higher on our rubric for sensitive data discovery software: 8.7 against 8.6 out of 10; our editors rank them #5 and #6.
Rubrik Data Discovery and Classification is the better fit for mid-market and enterprise hybrid environments. Ground Labs Enterprise Recon is the better fit for cross-environment discovery with rich remediation.
- Rubrik Data Discovery and Classification fits best
Mid-market and enterprise hybrid environments
- Ground Labs Enterprise Recon fits best
Cross-environment discovery with rich remediation
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Side by side
| Feature | Rubrik Data Discovery and Classification 8.7/10 Visit ↗ | Ground Labs Enterprise Recon 8.6/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.7 | 8.6 |
| Ranking | #5 in Sensitive Data Discovery Software | #6 in Sensitive Data Discovery Software |
| Best for | Mid-market and enterprise hybrid environments | Cross-environment discovery with rich remediation |
| Pricing model | Paid | Paid |
| Starting price | Pricing on request | Pricing on request |
| Free plan | Not checked yet | Not checked yet |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web | Web, Windows, macOS, Linux |
| Support | Docs | Email, Tickets, Docs |
| Compliance | SOC 2, ISO 27001, HIPAA | GDPR, HIPAA, PCI DSS, 2FA |
| Built for | Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Rubrik Data Discovery and Classification 2/4 · Ground Labs Enterprise Recon 2/4 | ||
| Unstructured data | ✓ | ✓ |
| Structured data | ✓ | ✓ |
| Custom classification | Not checked yet | Not checked yet |
| Remediation actions | Not checked yet | Not checked yet |
| Specs | ||
| Cloud environments | Not checked yet | Not checked yet |
| Data source connectors | Not checked yet | Not checked yet |
| Our review | ||
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| Our verdict | Rubrik Data Discovery and Classification identifies and classifies sensitive information across on-premises systems, AWS, Azure, and SaaS platforms including Microsoft 365. It is aimed at mid-market and enterprise organizations that need a… Read the review → |
Ground Labs Enterprise Recon is sensitive data discovery and management software for organizations that need visibility across on-premises, cloud, structured and unstructured environments. It scans workstations, servers, databases, email… Read the review → |
Strengths and trade-offs
Rubrik Data Discovery and Classification — where it wins
- Continuously discovers new or changed data across environments
- Classifies structured, semi-structured, and unstructured data
- OCR and customizable types extend discovery to scans and proprietary data
Where it doesn't
- Pricing requires contacting sales
- Documentation is the listed support channel
- Fewer integrations and remediation features are verified
Ground Labs Enterprise Recon — where it wins
- Scans cloud, databases, files, endpoints, email and applications
- Includes 300+ built-in types, OCR, and custom GLASS Studio patterns
- Supports redaction, quarantine, encryption, deletion and risk scoring
Where it doesn't
- Pricing requires contacting Ground Labs’ licensing team
- Classification automation is rule-based
- Hybrid deployment may require server or appliance management
- Rubrik Data Discovery and Classification8.7/10 · Pricing on request
Continuous hybrid discovery with broad data-type coverage; pricing is sales-led.
Contact RubrikFull verdict → - Ground Labs Enterprise Recon8.6/10 · Pricing on request
Broad hybrid scanning with 300+ data types and built-in remediation controls.
Visit Ground LabsFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update