Orchestra

Orchestra Native App Use Metadata for Data Engineering Insights Orchestra provides a unified control plane for Data and AI workflows, tightly integrated with Snowflake. With the Orchestra Snowflake Native App, you can: Monitor pipeline runs and individual task durations across Snowflake and orchestration tools Rapidly detect, diagnose, and resolve errors, with detailed visibility into failed steps Analyse time‑based error trends to optimise reliability and reduce incidents Reduce waste and save money by tracking query cost, bytes processed, and inefficient jobs Support other AI Workflows, enabling your team to build, run, and monitor AI‑powered data products from a single pane Access data in Snowflake securely, with built‑in metadata, data quality testing, anomaly detection (powered by Snowflake Cortex), and full lineage traces The Orchestra Snowflake Native Application pulls pipeline metadata from the Orchestra API into your Snowflake environment. This metadata is extremely valuable, and gives data teams comprehensive visibility into pipeline runs, task executions, and operational metrics to build analytics dashboards and monitor data pipeline performance.

load_pipeline_runs() Query with standard SQL for analytics and monitoring Results: Real-time pipeline metadata with automatic deduplication and updates, enabling performance monitoring, SLA tracking, and operational insights. io), which aggregates data from Snowflake, BigQuery, Databricks, dbt, and other data platforms through secure HTTPS connections. To make full use of the Orchestra Snowflake Data App you must be an existing customer of Orchestra.

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