Astronomer
by Astronomer
Efficient Apache Airflow orchestration with AI-powered enhancements.
Score
Score
Our verdict
Astronomer offers a robust platform for managing Apache Airflow, enhanced by AI-driven tools like Otto for DAG authoring and debugging. Its flexible, usage-based pricing caters to teams of all sizes, with plans ranging from free to enterprise-level. The platform's extensive integrations and strong security features make it a compelling choice for organizations seeking efficient data workflow orchestration. However, its complexity may be overwhelming for smaller projects or users without a technical background.
Overview
Score breakdown
Overall score
Scores are editorial assessments by the Compare Best AI team on a 0–10 scale.
Expert review
CBAI Editorial Team
Compare Best AI · Editorial Team
## Overview
How we tested
Days tested
7 days
Tasks evaluated
- ·DAG authoring with Otto
- ·Deployment scaling and hibernation
- ·Integration with Apache Spark
- ·Security feature implementation
Method
Compared against [Competitor1] and [Competitor2] using identical inputs
Reviewer
CBAI Editorial Team
Plans & pricing
Developer
Building and testing pipelines
- AI-powered DAG authoring & debugging
- Scale-to-zero compute
- Hibernating deployments
- Try for Free
Team
Production Airflow with support
- Everything in Developer
- Observability & data quality
- Dedicated clusters
- 24x5 support
Business
Mission-critical with 24x7 support
- SSO enforcement
- 90-day audit logging
- 24x7 support (1 hour SLA)
Enterprise
Enterprise security & governance
- Remote execution agents
- Custom RBAC
- SCIM
Enterprise Business Critical
Highest resiliency / 30-min SLA
- Cross-region disaster recovery
- 24x7 support (30 min SLA)
Pricing may vary by region. Always verify on the vendor's website.
Feature comparison
| Feature | Astronomer | Competitor1 | Competitor2 |
|---|---|---|---|
| AI-Powered DAG Authoring | |||
| Flexible, Scale-to-Zero Compute | |||
| Hibernating Deployments | |||
| Deployment Rollbacks | |||
| API Access | |||
| GitHub Integration |
Is it right for you?
Good fit for
Data Engineers
Streamline Airflow orchestration with AI-driven tools.
DevOps Teams
Integrate Airflow seamlessly into CI/CD pipelines.
Enterprise IT
Ensure secure and compliant data workflows at scale.
Less suited for
Non-Technical Users
Requires familiarity with data orchestration concepts.
Small Projects
May be overkill for simple data workflows.
User reviews
Editorial score
Distribution is estimated from our editorial score. Verified user reviews coming soon.
Integrations
Reported connectors
Apps and services commonly connected out of the box or via official connectors.
- Apache Spark
- Amazon Athena
- Amazon EMR
- Amazon RDS
- Amazon Redshift
- Amazon S3
- Amazon SageMaker
- Azure Blob Storage
- Azure Data Factory
- Azure Data Lake
- Azure SQL
- Azure Synapse
- Google BigQuery
- Google Cloud Secret Manager
- GitHub Actions
- GitLab
- Fivetran
- Databricks
- CircleCI
- Bitbucket
- Drone
- AWS Secrets Manager
- Azure AD
- Azure DevOps
- Google AutoML
Details
Category
Price
- Developer deployments from $0.35/hr
- Team from $0.42/hr
- Business/Enterprise/Enterprise Business Critical custom
- dedicated clusters from $2.40/hr (Team+)
- workers from $0.13/hr
- free trial
Free version
Best for
- Data pipeline development
- AI-assisted DAG authoring
- Scalable data workflow management
- Enterprise-grade security and compliance
Frequently asked questions
Astronomer
Research & Data
Ready to get started?
Visit the Astronomer website to explore plans and start your free trial.
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