Bigeye

Bigeye is a data observability platform that automatically monitors data quality across warehouses and pipelines. It profiles your data, learns its normal patterns, and creates anomaly detection rules automatically — no manual threshold setting. When a metric drifts, a table goes stale, or a schema changes unexpectedly, it alerts the right team with the context needed to fix it.

Key Features

• Automatic data profiling and anomaly detection
• No manual threshold configuration needed
• Monitors freshness, volume, and schema changes
• Lineage for impact analysis
• Connects to major cloud warehouses
• Data quality metrics and reporting

Pricing

Prices as listed in 2026 research. Always check the official site for the latest price — plans change. Free plan: No free plan — paid plans only.

How it works

The platform is built for data teams that want coverage without a lot of configuration. It connects to Snowflake, BigQuery, Databricks, Redshift, and other warehouses, scans tables automatically, and provides lineage so teams can see which dashboards and models depend on a broken table. It also includes data quality metrics and reporting for governance.

Bigeye is priced by quote with no public price list and no permanent free plan. It fits mid-size and large data teams that need automated data quality monitoring across many tables. For small teams the cost is hard to justify against manual checks or open-source data quality tools.

Pros and Cons

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