Data Quality Monitoring · Founded by Jeremy Stanley

Anomalo

AI-enhanced monitoring to ensure data quality and trust.

Cost

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

Use Anomalo for tracking and ensuring the quality of your data with ease. It automatically detects issues in your data without needing to write any rules or setting thresholds manually. One standout feature is its ability to integrate seamlessly with your current data stack, providing immediate insights into data quality. Practical use cases include catching problems before they affect downstream processes, ensuring reliable analytics, and maintaining data integrity for better decision-making.

What Anomalo does

Set up automated data quality monitoring without writing codeReceive daily insights about significant changes in your dataChat with your data using natural language queries through AIDAGenerate up-to-date documentation for any dataset automaticallyInvestigate data issues with AI before they impact stakeholdersMonitor business KPIs continuously for unexpected changesCreate dashboards and reports using natural language commandsTrack data lineage from source to destination automaticallyNine autonomous AI agents for different data tasksNatural language data documentation generationProactive data insights without manual queriesConversational analytics through AIDA chat interfaceAutomated data lineage tracking and visualizationMachine learning-based anomaly detectionNo-code data quality monitoring setupEnterprise-grade security with flexible deployment options

Tutorials & Demos

Frequently asked

Databricks Alation

dbt

Apache Superset Slack

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