Updated May 13, 2026 · Independent Analysis
BigeyevsCollibra
Pricing Intelligence
Bigeye Plans
Paid plans only
Enterprise
Custom- • Data quality monitoring
- • SLA tracking
- • Root cause analysis
Collibra Plans
Paid plans only
Enterprise
Custom- • Data catalog
- • Governance workflows
- • Data lineage
Feature Matrix
6 differences found across 10 standardized features
Feature
Bigeye
Collibra
Automated Monitoring
✓
✗
Incident Management
✓
✗
Schema Monitoring
✓
✗
Freshness Monitoring
✓
✗
Volume Monitoring
✓
✗
SLA Tracking
✓
✗
Total (raw)
16
16
Pros & Cons Face-Off
Evaluative strengths and weaknesses — not feature lists
Pros
- +Strong SLA management for data quality commitments to business
- +Auto-detection reduces configuration overhead
- +Close feature parity with Monte Carlo
- +Collaborative features for data + business alignment
Cons
- −Smaller customer base than Monte Carlo
- −Limited data lineage depth vs Monte Carlo
Pros
- +Best enterprise data governance with workflow-driven stewardship
- +Deep compliance support for regulated industries
- +Comprehensive data lineage and business glossary
- +Strong market position in financial services and healthcare
Cons
- −Complex implementation requiring organizational change management
- −Not a data quality monitoring tool — more governance/catalog
At a Glance
User Rating
4.6/5vs4.4/5
Bigeye
▲
Collibra
Starting Price
ContactvsContact
Bigeye
Collibra
Feature Count
16 featuresvs16 features
Bigeye
Collibra
User Base
200vs600
Bigeye
Collibra
▲