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Bigeye Data Quality

Bigeye Data Quality offers an Enterprise AI Trust Platform built on lineage-enabled data observability technology.

Venture Funded$33MSeries AAmplify PartnersSusa VenturesSapphire Ventures

data qualitydata observabilitydata monitoringenterprise analytics

About

The Bigeye Enterprise AI Trust Platform helps organizations improve data quality, identify sensitive data, meet data risk and policy requirements, and scale AI initiatives. The platform aims to enhance enterprise data quality by enabling data and AI teams to identify, triage, and resolve data incidents. It automatically finds hidden PII, PHI, PCI, and other sensitive data to reduce regulatory risk and accelerate AI projects. The platform also helps build stakeholder trust for data and AI projects by allowing privacy, security, and legal teams to contribute to policies defining data quality, runtime enforcement, and data access. It is designed to reduce financial, compliance, and reputational risks by helping meet AI regulatory requirements like the EU AI Act and ISO 42001. The Bigeye AI Trust platform includes modules for Metadata Management, Data Lineage, Data Observability, Data Sensitivity, Data Governance, and AI Guardian.

Read from bigeye.com on 2026-08-26. We describe what the vendor states; we do not audit it.

Enterprise Readiness

from cataloged data

60/100 · Established

Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityStrong

Flexible deployment: Cloud, Hybrid

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

6 documented use cases

Company MaturityStrong

Founded 2019 · Series A

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Independently sourced

Pulled directly from regulator filings and platform APIs. No vendor or editorial input.

Status page2026-05-26

Operational

operational· via statuspage· 1 incident (90d)

Enterprise Use Cases

Automated anomaly detection in data pipelines

Proactive data quality alerts and incident management

Ensuring compliance with data governance policies

Improving trust in BI and analytics outputs

Monitoring data freshness and completeness

Reducing manual data validation efforts

Integrations

SnowflakeDatabricksBigQueryRedshiftLookerTableauAirflowdbt

How Bigeye Data Quality compares

Tool	Readiness	Pricing	Deployment	Compliance	Integrations
Bigeye Data Quality	60 · Established	Enterprise	Cloud, Hybrid	—	8
Stemma AI Catalog	Not scored	Enterprise	Cloud, On-Premise, Hybrid	—	8
Marquez Data Lineage	Not scored	Open Source	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
ThoughtSpot	62 · Established	Paid	Cloud, Self-Hosted	—	5

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is Bigeye Data Quality used for?

Bigeye Data Quality is bigeye Data Quality offers an Enterprise AI Trust Platform built on lineage-enabled data observability technology. It is commonly used for automated anomaly detection in data pipelines, proactive data quality alerts and incident management, ensuring compliance with data governance policies, and improving trust in bi and analytics outputs.

Is Bigeye Data Quality free, and how is it priced?

Bigeye Data Quality uses enterprise pricing, typically a custom quote based on seats, usage, and requirements. Contact the vendor for a quote.

How can Bigeye Data Quality be deployed?

Bigeye Data Quality supports Cloud and Hybrid deployment. It is delivered as a cloud-hosted service.

What does Bigeye Data Quality integrate with?

Bigeye Data Quality documents 8 integrations, including Snowflake, Databricks, BigQuery, Redshift, Looker, and Tableau.

When was Bigeye Data Quality founded?

Bigeye Data Quality was founded in 2019 and has raised $33M in funding.

Is Bigeye Data Quality enterprise-ready?

Based on cataloged data, Bigeye Data Quality has an Enterprise Readiness score of 60/100 (Established tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingEnterprise

DeploymentCloud, Hybrid

Founded2019

Funding$33M

CategoryAnalytics & BI

Procurement

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