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Enterprise Layer Intelligence
Categories/Data Platform & Integration/Anomalo
Anomalo

Anomalo

Founded by Jeremy Stanley

Monitor data pipelines automatically to detect missing records, anomalies, and schema changes

Pricing model

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Anomalo to automatically monitor tables and datasets in your data warehouse for errors, missing values, and unexpected changes. It checks data freshness, volume, and schema consistency without requiring complex manual rules. When anomalies appear, it investigates root causes and generates explanations of what happened and why. You can query your data using natural language via an assistant called AIDA, auto-generate dataset documentation, and push alerts to incident management systems like Jira or ServiceNow before broken data impacts business dashboards.

What Anomalo does

Inspect tables for missing values and duplicatesVerify schema consistency across data warehouse pipelinesGenerate plain-text explanations for unexpected data changesAsk questions about dataset trends using conversational promptsCreate automated incident tickets in ServiceNow or JiraExtract and update table documentation from metadata catalogsAudit unstructured text documents for quality issuesMonitors table freshness, row counts, and schema updates continuouslyDetects abnormal data patterns without requiring predefined SQL rulesTranslates data quality issues into plain-language root cause explanationsAnswers questions about datasets through natural language chatGenerates documentation for tables by aggregating metadata and internal communicationsMonitors quality and trends across unstructured enterprise text documentsCreates automated tickets in Jira and ServiceNow when data pipelines fail

Pricing breakdown

Pricing model: Book a demo

View full pricing page ↗

Tutorials & Demos

Frequently asked

ServiceNowServiceNowJiraJiraSlackSlackOktaOktaMicrosoft Entra IDMicrosoft Entra ID

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Anomalo, Data Quality Monitoring, table observability, anomaly detection, data validation, data governance, unstructured data monitoring, schema validation, data downtime, root cause analysis, conversational analytics, AIDA, automated data testing, enterprise data monitoring, pipeline observability