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Open Source
Tool Comparison
Dagster
Software-defined assets — observable, testable data pipelines with full lineage.
VS
At a Glance
| Attribute | Dagster | Mage |
|---|---|---|
| License / Pricing | Open Source | Open Source |
| Type | data | data |
| GitHub Stars | — | — |
| Rating | 4.6/5 | 4.3/5 |
| Key Features | 6 listed | 6 listed |
| Integrations | 5 listed | 5 listed |
| Categories | Workflow Orchestration | Workflow Orchestration |
Key Features
Dagster
- Software-defined assets (SDA) for asset-centric pipeline modeling
- Asset lineage graph with freshness tracking and metadata
- Partitioned assets for incremental processing by date or key range
- Built-in sensor and schedule framework for event-driven pipelines
- Dagster Cloud for fully managed orchestration with branching deployments
- Integrations with dbt, Spark, Airbyte, Fivetran, Snowflake, and more
Mage
- Built-in browser-based IDE for coding pipelines interactively
- Block-based pipeline design (Data Loader, Transformer, Data Exporter)
- Real-time kernel execution with instant block output preview
- Backfill, trigger, and schedule pipelines from the UI
- Streaming pipeline support for Kafka, Kinesis, and websockets
- Mage Pro cloud platform for team collaboration and managed infra
Real-World Use Cases
Dagster
Model data pipeline as software-defined assets
Define raw, staging, and transformed tables as @asset decorated functions
Integrate dbt models as Dagster assets
Install dagster-dbt and load the dbt project into Dagster
Mage
Interactive data pipeline development
Launch Mage locally with Docker and open the browser IDE
ML feature engineering pipeline
Load raw feature data from S3 with a Data Loader block
Integrations
Dagster
dbtairbyteapache-sparksnowflakegreat-expectations
Mage
dbtairbyteapache-sparksnowflakeapache-kafka
🏆 Which should you choose?
Choose Dagster if…
- → you're already in the Workflow Orchestration ecosystem and prefer Dagster's workflow
Choose Mage if…
- → you're already in the Workflow Orchestration ecosystem and prefer Mage's workflow