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Dagster

Freemium

Data orchestrator for building, testing, and monitoring ML and AI pipelines.

Open SourceCloudSelf-hostedEnterprisePython SDK

Tool Info

Categories
Data Engineering
Developer
Dagster Labs
License
Open Source
Official Website
dagster.io
Repository
dagster-io/dagster
Official Docs

Overview

Dagster orchestrates data and ML pipelines with an asset-centric, testable approach.

It provides lineage, scheduling, and observability for AI data workflows.

Growing choice for RAG indexing and model training pipelines.

Features

  • Software-defined assets
  • Lineage and observability
  • Partitioning
  • Dagster Cloud

Pricing

Free tier available
Free (open source)Dagster CloudEnterprise

Pros

  • Excellent testing and observability
  • Asset-centric model
  • Strong ML support

Best For

ML pipeline orchestrationAsset-based data pipelinesRAG data pipelines

When NOT to Use

  • Different paradigm than Airflow
  • Smaller community than Airflow

Typical Users

Data engineersML platform teams

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Apache Spark
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Apache Flink
Stream-first data processing engine for real-time analytics and event pipelines.
dbt
Transform data in your warehouse using version-controlled SQL models.

Alternatives

Apache Airflow
Airflow is task-DAG based and ubiquitous; Dagster uses software-defined assets with better testing for ML pipelines.
Prefect
Modern Python workflow orchestration with dynamic execution and observability.
Kestra
Open-source orchestration platform for data, infrastructure, and business workflows.

Tags

#data#orchestration#ml

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