Union.ai vs Astronomer
A comparison of the orchestration platforms based on their ability to deliver AI orchestration at scale.
Who should use each tool?
Union.ai
Engineers building AI, ML, or agentic workflows looking to accelerate speed from experiment to production.
Astronomer
Professionals seeking static data orchestration and ETL assistance.
Feature Comparison
Scalability
Cost Optimization
Developer Experience
Enterprise Features
Union.ai
Next-generation AI orchestration platform built on Flyte. Durable, scalable, and developer-friendly with native Kubernetes support.
Astronomer
Traditional Airflow hosting service with limited modern features. Legacy architecture that struggles with scale and complexity.
Why Union.ai outperforms Astronomer
Union.ai wins because its AI orchestration is more performant and cost-efficient. It’s purpose-built for complex, dynamic AI and ML workflows. Unlike Astronomer, Union.ai delivers faster experimentation, reproducibility, and integration with modern AI stacks.
Performance & Scale
10x faster workflow execution
Workflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.
Seamless systems scaling
Workflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.
Ultra-low latency
Workflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.
Reusable containers to eliminate cold starts
Workflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.
Petabyte-scale data processing
Workflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.
Cost Efficiency
Cost allocation dashboard
Workflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.
Lower infra maintenance costs
Workflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.
No idle resource waste
Workflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.
Automatic cost optimization
Workflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.
Transparent pricing model
Workflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.
Developer Experience
Debugging experience
Workflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.
Automatic retries and failure recovery
Workflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.
Easy deployment
Workflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.
Easy integration with other tools
Workflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.
Run locally
Workflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.
Future-Proof
Built for modern AI, ML, and agentic workloads
Workflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.
Kubernetes-native architecture
Workflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.
Continuous innovation and updates
Workflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.
Strong community and enterprise support
Workflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.
Seamless integration with modern tools
Workflows can make on-the-fly decisions at runtime with real-time logic, conditions, and retries.
Ready to learn more about Union.ai?
Take a few minutes to learn how Union.ai can accelerate your AI workflows.