Bigeye
Data observability with ML anomaly detection and AI agent cost tracking.
About
Bigeye is an enterprise data observability platform that helps data teams trust the data behind analytics, reporting, and machine learning. It combines column-level lineage, anomaly detection, data quality rules, and incident management, using machine learning to suggest anomaly thresholds across more than 70 pre-built data quality metrics.
Bigeye has expanded into AI operations with an Agent Trust Hub that monitors AI agent spend and behavior, including cost anomaly detection that catches runaway agents or silent failures. Its bigAI chat answers plain-language questions about data and spend, such as which agent cost the most in a week.
What it can do
- ML-powered anomaly detection
- Column-level data lineage
- Agent Trust Hub for AI spend
- bigAI natural-language chat
- 70+ data quality metrics
Setup
Sign up for Bigeye; connect your warehouse via UI or YAML config.
Prerequisites
Cloud data warehouse; data pipeline access.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 126; Trending score 74/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.