Bigeye
Bigeye is a data observability platform with both automated anomaly detection and explicit rule-based quality monitoring, giving data teams more control than ML-only approaches. Pricing starts around $15,000/year; scales with data volume. Competes with Monte Carlo.
Bigeye is the right starting point when you want data observability with explicit control over quality rules, not purely ML-inferred baselines - particularly if your data team values determinism in alerting. Scale up to Monte Carlo when the environment is too complex to write explicit rules for everything.
· Expert analysis by Oleh Kem, Founder, ComparEdge
Strong data observability choice for Data teams needing formal SLA tracking for data quality commitments - 4.6/5 rating, 16 features.
Top Pros
- Strong SLA management for data quality commitments to business
- Auto-detection reduces configuration overhead
- Close feature parity with Monte Carlo
Watch Out For
- Smaller customer base than Monte Carlo
- Limited data lineage depth vs Monte Carlo
