Astronomer + Snowflake

Orchestrate, observe, and optimize data pipelines at scale

The unified DataOps platform powered by Apache Airflow®, helping organizations build reliable data pipelines while optimizing Snowflake costs.

TRUSTED BY 200+ JOINT CUSTOMERS

Simplify and scale your Snowflake pipelines with Astro

Accelerate AI/ML development

Build Sophisticated AI/ML Workflows on Snowflake

Deploy AI/ML pipelines with fresh data for Snowpark and Cortex. Accelerate model development while maintaining governance within your Snowflake environment.

Monitor end-to-end pipelines

Gain complete visibility across your data ecosystem.

Track your entire data pipeline in one unified interface. Reduce MTTR by 60%, quickly troubleshoot issues, and deliver reliable data to stakeholders when they need it.

Optimize Snowflake costs

Reduce Snowflake spend with Astro Observe.

Manage Snowflake spend by tracking consumption across warehouses, DAGs, and teams. Identify optimization opportunities and align spending with business priorities.

Ensure mission-critical reliability

Deploy complex Snowflake workflows with confidence.

Cut infrastructure management time by 75% with Astro’s enterprise-grade reliability and high availability. Free your team to create business value while ensuring consistent data delivery.

Take a 30-second tour of Astro

See how Astro orchestrates Snowflake data transformations—no heavy lifting required.

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Organizations from every industry transform their data operations with Astro & Snowflake.

Use Cases

Tackle your toughest data problems with Astro.

Business Intelligence

Build scalable ELT pipelines for Business Intelligence that extract, load, and transform data for analytics dashboards, ensuring timely delivery to business users.

See Reference Architecture →

Snowflake Queries

Orchestrate Snowflake queries with Airflow to create responsive data pipelines that process new data as it arrives for near real-time analytics.

View Tutorial →

MLOps

Leverage Airflow 3 for MLOps to orchestrate secure machine learning workflows, managing the full ML lifecycle without moving data out of your Snowflake environment.

See Reference Architecture →

Data Quality

Establish robust data quality controls and governance practices across your Snowflake environment.

Read the Guide →

Frequently Asked Questions

What advantages does Airflow have over Snowflake Tasks?
Airflow provides cross-system orchestration beyond Snowflake, with complex DAG structures and conditional logic not available in Snowflake Tasks. It offers advanced error handling, comprehensive monitoring across your entire data stack, and code-based workflows for versioning and CI/CD integration. Most organizations use Airflow to orchestrate Snowflake operations alongside the rest of their data pipeline.
What's the implementation timeline for Astro (for Open source Airflow users)?
Most organizations implement Astro to orchestrate data with existing Snowflake environments in 2-4 weeks, including initial setup, Snowflake connection, and migrating DAGs from Open source Airflow. The implementation process is streamlined with Astronomer's professional services and onboarding assistance. Many customers report completing migrations within a two-week sprint and seeing immediate improvements in their Snowflake orchestration.
What makes Astro better than open-source Airflow for Snowflake?
Astro accelerates development with productivity tools like the Astro CLI and Cloud IDE, enabling faster pipeline creation for Snowflake workloads. It delivers enterprise-grade reliability with 99.9% SLA and automatic scaling, eliminating infrastructure management overhead so teams typically spend 75% less time on maintenance vs. OSS Airflow. Astro Observe provides comprehensive visibility into your Snowflake operations with advanced data quality monitoring and cost optimization features that help you maintain performance while controlling expenses.
How does Astro Observe help with Snowflake cost management?
Astro Observe provides unified visibility into Snowflake costs with attribution to specific data products, DAGs, tasks, and teams. It includes cost anomaly detection to help teams spot unexpected spikes or unusual changes and identify optimization opportunities. The integrated dashboard displays historical trends, helping teams implement data-driven cost governance while maintaining performance for critical workloads.
How does Astro Observe help with Snowflake data quality?
Astro Observe enables comprehensive data quality monitoring across your Snowflake environment by tracking lineage, validating data, and alerting on quality issues. It provides built-in data quality operators to check row volume, data completeness, and schema drift with end-to-end lineage to trace issues from root cause to business impact.. With automated alerting and SLA monitoring, teams can proactively address data quality problems before they impact downstream consumers.
How does Astro enhance data governance for Snowflake?
Astro strengthens Snowflake data governance with secure credential management, role-based access control, and comprehensive data lineage tracking. It provides DAG versioning for iterative development and debugging, and supports remote execution for sensitive operations. These capabilities help organizations meet compliance requirements while implementing proper governance for their Snowflake data operations.

Build, run, & observe your data workflows. All in one place.

Build, run, & observe
your data workflows.
All in one place.

Try Astro today and get up to $500 in free credits during your 14-day trial.