Metaplane

Automates end-to-end data observability, detecting anomalies and data quality issues in real-time, enabling data teams to resolve problems quickly and confidently.
Data Observability Anomaly Detection Data Quality Management

Metaplane is a data observability platform that helps data teams quickly and easily identify and resolve data problems. The platform offers automated end-to-end data observability so teams can be the first to know when something is broken and know what went wrong.

Metaplane's features include:

  • Monitoring and Anomaly Detection: ML-based monitoring that can detect anomalies while accounting for seasonality and trends.
  • Data CI/CD: Data quality checks in pull requests to prevent data quality issues.
  • Lineage and Impact Analysis: Column-level lineage from databases to dashboards to see downstream impact.
  • Usage Analytics: Who or what is querying data and which assets are high usage.
  • Schema Change Alerts: Real-time notifications when new, deleted or renamed schemas, tables and columns.
  • Job Monitoring: Automatic monitoring of dbt jobs and real-time alerts for abnormal runs.

These features can help data teams spend less time triaging data quality issues, build more trust in their data and collaborate better. By integrating with a variety of tools in the modern data stack, including warehouses, transformation tools and BI platforms, Metaplane makes data observability easy for teams of any size.

Metaplane is built with security in mind and is compliant with major privacy regulations including SOC 2 Type II, GDPR, CCPA and HIPAA. You can try Metaplane with a free trial to see how the platform works without any maintenance or setup worries.

For data teams looking to improve data quality and trust, Metaplane offers an all-in-one platform that combines monitoring, analytics and incident management to ensure data issues are detected and resolved quickly.

Published on June 9, 2024

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