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Data Governance

Bigeye

Data observability and quality monitoring for enterprise data pipelines

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About Bigeye

Bigeye offers data observability and data quality monitoring with automated metrics, lineage-aware alerts and rule-based checks across warehouses and pipelines. It is used by data teams that need to detect and resolve issues before they reach analytics and AI.

Common use cases

  • Monitor critical tables
  • Reduce data incidents
  • Support AI data readiness

Social listening

What people are saying about Bigeye

A G2 comparison page notes Bigeye is easy to use with useful features, and buyers typically confirm feature and integration coverage.

What stands out

  • A reviewer found the platform easy to use with useful features.

Things to consider

  • Worth confirming feature set and available integrations against your needs.

Often compared with: Great Expectations, Monte Carlo, Soda, Metaplane

Sources (1)

Themes summarized from public reviews, community discussion and press coverage as of November 2026. They reflect public discussion, not a rating or an endorsement by AI Connect.

Products and services

Bigeye Platform

Automated monitoring, anomaly detection and lineage-based root cause analysis.

Key features

  • Automated metric monitoring
  • Anomaly detection
  • Lineage-based impact analysis
  • Custom rules
  • Incident workflows
  • Data SLAs

Integrations

  • Snowflake
  • Databricks
  • BigQuery
  • Amazon Redshift
  • dbt
  • Airflow
  • Slack
  • PagerDuty

Bigeye alternatives

FAQs

What does Bigeye do?

Monitors data quality and observability across warehouses and pipelines.

How does it help with incidents?

It uses lineage to show downstream impact and route alerts.

How is it priced?

Subscription pricing through sales.

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