Data Quality & Infrastructure; Data Quality Monitoring; Dashboards & Reporting
Metaplane is a data observability platform that detects data quality issues across the data stack. The platform monitors data warehouses including BigQuery, Snowflake, Redshift, and Databricks, providing automated anomaly detection, schema change alerts, and column-level lineage tracking from sources to BI tools.
The platform includes Data CI/CD capabilities for testing pull requests, machine learning-based monitoring that accounts for seasonality and trends, and configurable alerts routed to Slack or Microsoft Teams. Metaplane integrates with transformation tools like dbt, ingestion platforms including Fivetran and Airbyte, and BI tools such as Looker, Tableau, and Mode.
Machine learning monitors data quality across tables and columns, accounting for seasonality and trends without requiring custom test configuration.
Provides visibility into data pipelines from sources through transformations to BI tools with automated setup and no manual configuration required.
Runs automated regression and impact tests on pull requests to prevent data quality issues before merging code changes in dbt workflows.
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