Overview
Anomalo is a data quality company that uses machine learning to detect abnormal patterns in data without requiring users to write rules for every table, and describes its product as an autonomous data system for the agentic enterprise.[15] It offers agents for table observability, data quality, data insights, conversational analytics and data documentation, with further agents for issue response, KPI monitoring and reporting marked as coming soon.[15] An Unstructured Data Monitoring product extends quality checks to documents, aimed at organisations preparing content for AI applications.[15] Anomalo can be deployed entirely in the customer’s VPC or as SaaS, lists SOC 2 Type II, GDPR and HIPAA compliance and SAML single sign-on, and says customers can connect data in minutes with first insights within 24 hours.[15] Its machine-learning approach reduces the rule-writing burden for large warehouses. Pricing is not published, several announced capabilities are not yet available, and ML-generated alerts require tuning to avoid noise.
What Anomalo does
- ML anomaly detection without rules
- Table observability and data quality agents
- Unstructured document monitoring
- Conversational analytics
- VPC or SaaS deployment
- SOC 2 Type II and HIPAA
Anomalo pricing
Quote-based; demo on request.
Anomalo strengths and limitations
Strengths
- Little rule-writing needed
- Covers unstructured data
- In-VPC deployment option
- Fast initial set-up
Limitations
- No published prices
- Several agents still coming soon
- ML alerts need tuning
- Smaller vendor
Appears in
Anomalo alternatives and competitors
Alternatives to Anomalo: companies ranked in the same lists.
- Informatica Product 360
Ataccama ONE
Precisely EnterWorks
Qlik Cloud Analytics
Collibra Data Quality & Observability
SAS Institute
Monte Carlo
Datadog- Bigeye
Soda
Great Expectations (GX)- Melissa
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