About Astro
Astro is a data orchestration software from Astronomer that facilitates the management of data pipelines. It provides tools for scheduling, monitoring, and executing tasks so users can efficiently handle large data workflows. Astro supports various data sources and allows integration with popular cloud services for storage and processing. Users can use its user-friendly interface to easily configure and manage workflows, improving productivity in data operations. Key capabilities: task scheduling data monitoring cloud integration workflow management user interface Best for: data engineers and analysts that need to manage complex data workflows across multiple platforms.
Astro by Astronomer is a modern DataOps platform that reimagines orchestration at scale through its fully managed implementation of Apache Airflow. Built specifically for teams managing complex data pipelines, Astro removes the undifferentiated toil of infrastructure, allowing data engineers and scientists to focus on building reliable data products rather than maintaining systems. The platform excels at providing a seamless and elegant user experience—users frequently note the UI as being not only visually pleasing but also highly intuitive. With just a few clicks, teams can launch new deployments and begin orchestrating pipelines, significantly reducing time to value. While Airflow itself can come with a learning curve, Astro abstracts away much of this complexity with helpful tooling and guided workflows, easing adoption for those new to the ecosystem. Functionality-wise, Astro delivers across the full lifecycle of data pipelines—development, deployment, observability, and scaling. It supports the latest innovations in Apache Airflow with day-zero compatibility, ensuring users are always aligned with the open-source project's cutting edge.
Pros & Cons
- +Fully managed Airflow: Simplifies deployment, scaling, and upgrades with enterprise-grade support
- +High uptime and autoscaling: Offers 70% higher uptime than self-managed Airflow with intelligent autoscaling clusters
- +Unified DataOps platform: Combines pipeline development, execution, and observability in one place
- +Built-in observability: Includes smart alerts, anomaly detection, and root cause analysis without extra tools
- +Accelerated development: Supports CI/CD, local dev environments, and 1,600+ pre-built integrations
- +Enterprise security: Role-based access control, private networking, and compliance with SOC 2, HIPAA, GDPR
- +Airflow 3.0 support: Immediate access to the latest Airflow features with zero-day managed support
- +Trusted by top companies: Used by Uber, Apple, Ford, Bloomberg, Stripe, LinkedIn, and more
- −Subscription-based pricing: Managed service comes with ongoing costs compared to open-source Airflow
- −Less control for advanced users: May limit deep customization for teams wanting full infrastructure ownership
- −Learning curve for orchestration-first approach: Teams new to Airflow or DataOps may need onboarding
- −Dependent on Astronomer ecosystem: Some features and optimizations are exclusive to Astro’s platform
Features
Key features
- Orchestration-First DataOps Platform
- Unifies building, running, and observing data pipelines on Apache Airflow from a single place.
- Airflow 3.0 Day Zero Support
- Offers immediate fully managed support for new features introduced in Apache Airflow 3.0, including modern UI, remote execution, and asset-centric DAGs.
- Intelligent Autoscaling & Optimization
- Automatically adjusts infrastructure based on workload, optimizes pipelines, and provides higher uptime than self-managed Airflow.
- Comprehensive Data Observability
- Offers a full view of data product dependencies, smart alerts, automated anomaly detection, and guided root cause analysis.
- Extensive Integrations
- Provides over 1,600 pre-built integrations to accelerate workflow development across diverse data sources and tools.
- Flexible Authoring
- Supports pipeline development using various methods including notebooks, YAML, and Python DAGs.
Additional features
- Orchestration-First DataOps Platform
- A unified platform for building, running, and observing data pipelines built on Apache Airflow.
- Airflow 3.0 Support
- Provides day-zero support for the latest Apache Airflow 3.0 features, including a modernized UI and remote task execution.
- Reduced Infrastructure Complexity
- Minimizes infrastructure footprint with intelligent autoscaling clusters and auto pipeline optimization.
- Accelerated Development & Operations
- Eliminates operational overhead for managing infrastructure and configuration, speeding up Airflow value delivery.
- Complete DataOps Visibility
- Offers comprehensive transparency into data operations beyond basic monitoring.
- Local Development
- Supports accelerated pipeline development with tools for local testing.
- CI/CD Integration
- Seamlessly integrates with Continuous Integration/Continuous Deployment workflows.
- Secure Testing Environments
- Provides secure environments for testing data pipelines.
- Pre-built Integrations
- Offers over 1,600 ready-to-use integrations with various data sources and tools.
- Flexible Authoring
- Allows creating pipelines using notebooks, YAML, and more.
- Intelligent Autoscaling
- Automatically scales resources to meet demand for mission-critical pipelines.
- Multi-tenant Team Collaboration
- Supports collaboration among multiple teams in a shared environment.
- Enterprise Security
- Provides robust security features suitable for enterprise-level deployments.
- High Uptime
- Offers significantly higher uptime compared to self-managed Airflow.
- Data Product Dependency View
- Provides a full visualization of data product dependencies.
- Smart Alerts
- Delivers intelligent notifications for pipeline events and anomalies.
- Automated Anomaly Detection
- Automatically identifies bottlenecks and unusual patterns in data operations.
- Guided Root Cause Analysis
- Assists in pinpointing and resolving issues within pipelines.
- Unified Data Estates
- Helps unify complex data environments across disparate tools and platforms.
- Cross-team Collaboration
- Enables collaboration through standardized workflows.
- Simplified Tech Stacks
- Integrates build, test, and release cycles to streamline technology stacks.
- Elevated Data Quality and Trust
- Improves data quality and reliability through centralized visibility.
- Astronomer Registry
- A resource for exploring pre-built operators, hooks, and DAG templates.
- Comprehensive Documentation
- Provides detailed information about Apache Airflow and Astro.
- Astronomer Academy
- Offers courses and certifications for learning how to build effective data pipelines with Airflow.
- Platform Overview
- A high-level view of the Astro platform's capabilities.
- Astronomer Software
- Refers to Astronomer's broader software offerings, with Astro being a key product.
- Security & Trust
- Emphasizes the platform's security measures and reliability.
- Cosmos
- (Implied as a tool/service within the Astronomer ecosystem).
- Professional Services
- Provides expert assistance and guidance.
- Product Updates
- Keeps users informed about new features and improvements.
- AI Ops Use Case
- Supports building and scaling end-to-end AI pipelines, including batch inference and fine-tuning.
- Data Observability Use Case
- Enables monitoring and ensuring the reliability of data products.
- ETL/ELT Use Case
- Facilitates extract, transform, and load processes from various sources to destinations.
- ML Ops Use Case
- Streamlines the full lifecycle of machine learning models.
- Analytics and Reporting Use Case
- Ensures dashboards and reports are powered by timely and accurate data.
Pricing
Monthly plans
Deployments Starting At
USD 0.35
Team
USD 0.42
Countries & Languages
Interface languages
Billing currencies
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About Astro
Astro is a data orchestration software from Astronomer that facilitates the management of data pipelines. It provides tools for scheduling, monitoring, and executing tasks so users can efficiently handle large data workflows. Astro supports various data sources and allows integration with popular cloud services for storage and processing. Users can use its user-friendly interface to easily configure and manage workflows, improving productivity in data operations. Key capabilities: task scheduling data monitoring cloud integration workflow management user interface Best for: data engineers and analysts that need to manage complex data workflows across multiple platforms.
Astro Details
Astro's In-App Market Place
Does Astro have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Plans
Monthly plans
Deployments Starting At
USD 0.35
Team
USD 0.42
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), CAD (C$), AUD (A$), CHF (CHF), CNY (¥), INR (₹), RUB (₽)
Pros & Cons
- Fully managed Airflow: Simplifies deployment, scaling, and upgrades with enterprise-grade support
- High uptime and autoscaling: Offers 70% higher uptime than self-managed Airflow with intelligent autoscaling clusters
- Unified DataOps platform: Combines pipeline development, execution, and observability in one place
- Built-in observability: Includes smart alerts, anomaly detection, and root cause analysis without extra tools
- Accelerated development: Supports CI/CD, local dev environments, and 1,600+ pre-built integrations
- Enterprise security: Role-based access control, private networking, and compliance with SOC 2, HIPAA, GDPR
- Airflow 3.0 support: Immediate access to the latest Airflow features with zero-day managed support
- Trusted by top companies: Used by Uber, Apple, Ford, Bloomberg, Stripe, LinkedIn, and more
- Subscription-based pricing: Managed service comes with ongoing costs compared to open-source Airflow
- Less control for advanced users: May limit deep customization for teams wanting full infrastructure ownership
- Learning curve for orchestration-first approach: Teams new to Airflow or DataOps may need onboarding
- Dependent on Astronomer ecosystem: Some features and optimizations are exclusive to Astro’s platform
Astro's Support Options
Email Address
humans@astronomer.ioDocumentation
https://www.astronomer.io/docsAstro's Alternatives
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