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If you’re just beginning your data quality journey, the decision between OSS and Cloud depends on your goals and team setup: Elementary OSS A self-maintained, open-source CLI that integrates seamlessly with your dbt project and the Elementary dbt package. It enables alerting and provides the self-hosted Elementary data observability report, offering a comprehensive view of your dbt runs, all dbt test results, data lineage, and test coverage. Elementary Cloud A fully managed, enterprise-ready solution designed for scalability and automation. It offers automated ML-powered anomaly detection, flexible data discovery, an integrated incident management system, and collaboration features. Delivering high value with minimal setup and infrastructure maintenance, it’s ideal for teams looking to enhance data reliability without operational overhead. This short video covers the difference between OSS and Cloud:

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Comparing Elementary OSS to Elementary Cloud

Below is a detailed comparison between the OSS and Cloud features:
FeatureOSSCloud
Detection
  • Anomaly detection and dbt tests
  • Automated freshness & volume monitors
  • ML-powered anomaly detection
  • dbt and cloud tests
  • Bulk add/edit for tests
Triage & Response
  • Basic alerts
  • Table-level lineage
  • Interactive alerts
  • Column-level lineage up to BI
  • BI integrations
  • Test results history
  • Incident management
Performance Monitoring
  • Model and test performance
  • Model and test performance
  • Performance alerts
Enabling Non-Tech UsersX
  • No-code test editor
  • Data health scores
  • External catalog integrations
  • Ticketing system integrations
GovernanceX
  • Catalog
  • Metadata in code and UI

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