Bigeye
Claim this toolThe Enterprise AI Trust Platform for responsible data and AI initiatives.
Paid plans only Visit WebsiteThe Bottom Line
- Price
- Paid plans only. Compare plans
Key facts
- Ensures data quality and reliability for AI initiatives.
- Discovers and classifies sensitive data to reduce regulatory risk.
- Provides end-to-end data lineage and observability for proactive issue resolution.
Pros
- Significantly reduces data errors and outages
- Accelerates data and AI initiatives by building stakeholder trust
- Helps meet emerging AI regulatory requirements (e.g., EU AI Act, ISO 42001)
- Provides comprehensive visibility and transparency across data ecosystems
- Automates data quality checks, reducing manual effort
Cons
- No explicit pricing information available without a demo request
- Primarily targets large enterprises, potentially less suitable for smaller organizations
- Requires integration with existing data stacks, which might involve setup time
What is Bigeye?
Available on: Web
Ratings Across the Web
Bigeye holds an aggregate rating of 4.1 out of 5 from 22 reviews across G2, last checked March 19, 2026.
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
- Lineage-enabled data observability
- Automated sensitive data discovery (PII, PHI, PCI)
- Metadata Management (cataloging, tags, owners, data domains)
- End-to-end data lineage for modern and legacy data stacks
- Anomaly detection and data monitoring
- Data Sensitivity scanning and classification (structured and unstructured)
- Data Governance (certification, stewardship, business glossary)
- AI Guardian (runtime enforcement of data access policies)
Pricing Plans
Pricing checked Sep 28, 2026. Source: bigeye.com, read Sep 28, 2026
| Plan | Price | Details |
|---|---|---|
| Enterprise AI Trust Platform | Contact us |
+7 more Show less
|
Is Bigeye worth the price?
Bigeye's 'Contact Us' pricing for their Enterprise AI Trust Platform is typical for enterprise-grade solutions in the data governance and AI trust space.
This model is best suited for large enterprises with complex data and AI initiatives that require a tailored solution.
Hidden Costs & Gotchas
Potential minimum user or data volume commitments.
Bigeye by the numbers
| Metric | Bigeye | Peer median | Position (1 is best) |
|---|---|---|---|
| Free plan | No | 16 of 40 have one | n/a |
| Listed as an alternative to | 5 tools | 1 | #8 of 40 (joint) |
| User rating | 4.1/5 (across the web, 22 ratings) | 4.4/5 | #20 of 20 tools with 20+ reviews |
Each position is counted among the tools that have data for that row, as noted under it. All Data Quality data · How we compute this. Advertising and placement fees are not inputs to any position.
Cite this: Toolradar, “Bigeye by the numbers”, Oct 2026.
Reviews

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Bigeye FAQ
How does Bigeye help organizations manage data quality for AI initiatives?
Which teams within an enterprise would benefit most from using Bigeye?
How does Bigeye compare to Monte Carlo in its approach to data observability?
What kind of limitations should potential users consider before adopting Bigeye?
How is Bigeye priced?
Can Bigeye assist with compliance for new AI regulations?
Does Bigeye offer capabilities for discovering sensitive data?
Source: bigeye.com