Metaplane

Overview Metaplane's native app for Snowflake brings end-to-end data observability directly into your Snowflake environment. Using machine learning, we help data teams prevent, detect, and resolve data quality issues before they impact critical business initiatives like AI/ML projects. Running directly within your Snowflake environment, our app ensures data security while providing end-to-end visibility across your data stack.

You can get access to Metaplane under your existing Snowflake subscription/contract. Key features Automated ML-powered monitoring that learns your data patterns to detect anomalies Schema change detection to identify potential downstream impacts Column-level lineage tracking from source to BI tools Secure processing within your Snowflake environment through Snowpark Container Services Integration with popular tools like dbt, Fivetran, and leading BI platforms Workflow Installation & setup Download Metaplane's native app from Snowflake Marketplace Launch the application, then follow the easy guided setup process to connect with Metaplane and configure the databases and schemas you wish to monitor Initial Configuration The app automatically begins collecting metadata about your Snowflake environment Metaplane's ML models start learning your data patterns to establish baselines Set up alert routing to your preferred communication channels (Slack, MS Teams, email) Define any custom monitoring rules or thresholds (optional) Ongoing Operation The app runs an hourly sync job within your Snowflake environment using Snowpark Container Services to: Collect warehouse metadata Parse query history for lineage analysis Execute configured monitors to check for anomalies using machine learning Access the Metaplane UI to view monitoring results, investigate issues, and manage alerts Receive real-time notifications when anomalies or schema changes are detected Results & Outputs Real-time alerts for data quality issues Column-level lineage visualizations Schema change notifications with impact analysis Incident management and resolution tracking Sources Warehouse metadata from Snowflake's information schema Query history for lineage analysis Custom monitoring configurations defined by users Integration metadata from connected tools in your data stack The app is designed for data teams who need best-in-class observability without compromising on security or performance. Whether you're supporting critical AI initiatives, maintaining compliance requirements, or simply aiming to build trust in your data, Metaplane's native app provides the visibility and control you need—all within your secure Snowflake environment.