Dagster

The data orchestrator.

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Overview

Dagster is a data orchestrator for the modern data platform. It's a system for building, maintaining, and observing data assets. Dagster allows you to define your data pipelines as a graph of computations, and it provides a rich set of tools for developing, testing, and running your pipelines. It is designed to help you build reliable and maintainable data platforms.

✨ Key Features

  • Asset-based orchestration
  • Declarative programming model
  • Integrated lineage and observability
  • Local development and testing
  • Scalable execution on various platforms

🎯 Key Differentiators

  • Asset-based approach to orchestration
  • Strong focus on developer productivity and testing
  • Integrated observability and lineage

Unique Value: Provides a powerful and intuitive way to build, maintain, and observe data assets, leading to more reliable and maintainable data platforms.

🎯 Use Cases (4)

ETL/ELT pipelines Machine learning pipelines Data quality monitoring Building and maintaining data platforms

✅ Best For

  • Orchestrating dbt jobs
  • Building and maintaining complex data pipelines
  • Automating data science workflows

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Teams that prefer a simple, task-based orchestrator
  • Simple, linear workflows

🏆 Alternatives

Apache Airflow Prefect Luigi

Offers a more structured and asset-centric approach to data orchestration compared to traditional task-based orchestrators.

💻 Platforms

Web API

🔌 Integrations

dbt Snowflake Databricks Airbyte Fivetran Kubernetes

🛟 Support Options

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

🔒 Compliance & Security

✓ SOC 2 ✓ GDPR ✓ SSO ✓ SOC 2 Type II

💰 Pricing

$10.00/mo
Free Tier Available

✓ 30-day free trial

Free tier: Free tier for local development and a free trial for the cloud version.

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