📄 NEW: Free Data Engineering Cheatsheet 2026 — SQL, Airflow, Spark, Kafka, dbt & more →
Bigeye logo

Bigeye

Free tier available

Data observability with automated monitoring

Data Quality observability quality monitoring

📖 Overview

Bigeye provides data observability combining ML-based anomaly detection with customizable rules. It offers automated monitoring that learns your data patterns while still allowing manual thresholds for known requirements.

Key Features

  • Auto-thresholds: ML-learned monitoring bounds
  • Custom Rules: Define specific expectations
  • Freshness Tracking: Monitor data timeliness
  • Schema Monitoring: Detect structural changes
  • Lineage: Understand data dependencies
  • Alerting: Slack, PagerDuty, email

💰 Pricing

Model
paid
Starting Price
Free tier available
Free tier available 🏢 Enterprise plans available

👍 Pros

  • + Good balance of ML and rules
  • + Free tier for getting started
  • + Fast setup
  • + Intuitive UI
  • + Strong alerting options

👎 Cons

  • Less established than Monte Carlo
  • Enterprise features add up
  • Some integrations newer
  • Documentation could improve

🎯 Best For

Teams wanting data observability without committing to full enterprise pricing. Good middle ground between DIY and premium solutions.

🔗 Works With

📁 More Data Quality Tools

View all Data Quality tools →