Bigeye

At a glance

• Editor score
  7.9 / 10
• Pricing
  Pricing on request
• Best for
  Teams needing lineage-aware alert impact analysis
• Facts checked
  4 Oct 2026

• Where it wins

  • Adaptive ML anomaly detection plus configurable quality rules
  • Column lineage connects alerts to upstream dependencies and affected assets
  • Cloud or self-hosted deployment with broad incident notifications

• Where it doesn't

  • Pricing uses a contact-sales process rather than self-service plans
  • Enterprise-oriented scope may exceed the needs of smaller teams
  • Proprietary platform with no open-source deployment option

Our verdict on Bigeye

Bigeye is a data observability platform for teams monitoring pipelines and the data used in analytics, reporting, and machine learning. It combines ML-driven anomaly detection, freshness and volume monitoring, custom quality rules, column-level lineage, and incident management. Monitoring can follow upstream dependencies, while alerts add context about affected assets. The product is positioned for mid-market and enterprise environments and is available through cloud or self-hosted deployment.

Pricing follows a contact-sales model, with a demo serving as the published route to evaluation. Bigeye supports direct connections to data sources and offers an in-network agent that runs in the customer’s infrastructure. Its ecosystem includes Slack, Microsoft Teams, PagerDuty, Jira, webhooks, Tableau, and Power BI, with alert destinations also covering email. These options suit organizations that need observability connected to collaboration, incident response, and analytics workflows.

The standout capability is lineage-aware incident context: column-level lineage and upstream dependency mapping help teams assess impact when an anomaly or quality rule triggers. Adaptive thresholds can track historical patterns, while freshness and volume checks cover common pipeline conditions. Bigeye should appeal to data teams that value dependency-aware triage, configurable monitoring, and controlled deployment choices. Teams seeking self-service plan selection, a narrower monitoring tool, or an open-source product should consider alternatives aligned to those priorities.

Your product? Our editors can test Bigeye in depth and publish a review, labelled as paid · from $149/mo →

Bigeye pricing

Bigeye fact sheet

Bigeye integrations

Bigeye lists 7 integrations on its own site.

• Slack
• Microsoft Teams
• PagerDuty
• Jira
• Webhooks
• Tableau
• Power BI

See all Bigeye integrations →

Alternatives to Bigeye

• DDDatadog Data ObservabilityA Datadog-native view of data quality, lineage, pipeline jobs, and costs.9.3
• IDIBM Data Observability by DatabandPipeline-focused observability with lineage, quality alerts, and Airflow integrations.9.1
• ADActian Data ObservabilityWarehouse-native monitoring with custom SQL metrics, incident history, and lineage.9.0

See all Bigeye alternatives →

Featured on iTechGuides

Bigeye is listed in our Data Observability Tools directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 30 Oct 2026 · How we research and update