Bigeye

Data quality and observability with 70+ configurable metrics — deep quality testing for mature data platforms.

Enterprise

Pricing Tier

Medium

Learning Curve

1–2 months for rollout

Implementation

medium, large, enterprise

Best For

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✓ Use when

Mature data platform teams that need granular, metric-driven quality controls and SLAs on data products.

✗ Avoid when

Teams starting out — Monte Carlo or Metaplane give faster value when you don't yet know which metrics matter.

What is Bigeye?

Bigeye is a data observability platform leaning more into data quality configuration: 70+ built-in metrics that teams can tune per table, plus autothresholds. Strong with regulated industries and data platform teams that want granular control over what constitutes a data issue. Integrations with Tableau, Looker, and Databricks make it effective for protecting downstream BI consumption.

Key features

✓70+ configurable data quality metrics

✓Autothresholds with ML

✓Collection templates for common tables

✓Lineage across BI tools

✓SLA tracking for data products

Integrations

SnowflakeDatabricksLookerTableau

💰 Real-world pricing

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