Dagster

The data orchestration platform.

Visit Website →

Overview

Dagster is a data orchestrator for the full lifecycle of data assets, from development to production. It allows you to define your data pipelines as graphs of computations, and provides tools for testing, deploying, and monitoring them. Dagster has a strong focus on data assets and their lineage.

✨ Key Features

  • Asset-based orchestration
  • Integrated data catalog and lineage
  • Local development and testing environment
  • Declarative programming model
  • Built-in observability and monitoring

🎯 Key Differentiators

  • Asset-centric approach to orchestration
  • Strong focus on data lineage and observability
  • Excellent local development and testing experience

Unique Value: Provides a unified platform for developing, deploying, and observing data assets, leading to more reliable and maintainable data pipelines.

🎯 Use Cases (4)

ETL/ELT pipelines Machine learning pipelines Data quality management Analytics engineering

✅ Best For

  • Building and managing complex data platforms
  • Ensuring data quality and reliability through asset-based orchestration

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Simple, task-based workflows without a focus on data assets.

🏆 Alternatives

Apache Airflow Prefect dbt

Offers a more structured and asset-aware approach compared to task-based orchestrators like Airflow, and provides orchestration capabilities that dbt lacks.

💻 Platforms

Web API

🔌 Integrations

dbt Snowflake Databricks Fivetran Airbyte Kubernetes Pandas

🛟 Support Options

  • ✓ Email Support
  • ✓ Live Chat
  • ✓ Dedicated Support (Cloud tier)

🔒 Compliance & Security

✓ SOC 2 ✓ GDPR ✓ SSO ✓ SOC 2 Type II

💰 Pricing

Contact for pricing
Free Tier Available

✓ 14-day free trial

Free tier: Open source, self-hosted.

Visit Dagster Website →