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Open Source
Tool Comparison
Mage
Build pipelines in a notebook IDE — the modern tool for data engineers and scientists.
VS
At a Glance
| Attribute | Mage | Dagster |
|---|---|---|
| License / Pricing | Open Source | Open Source |
| Type | data | data |
| GitHub Stars | — | — |
| Rating | 4.3/5 | 4.6/5 |
| Key Features | 6 listed | 6 listed |
| Integrations | 5 listed | 5 listed |
| Categories | Workflow Orchestration | Workflow Orchestration |
Key Features
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
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
Real-World Use Cases
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
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
Integrations
Mage
dbtairbyteapache-sparksnowflakeapache-kafka
Dagster
dbtairbyteapache-sparksnowflakegreat-expectations
🏆 Which should you choose?
Choose Mage if…
- → you're already in the Workflow Orchestration ecosystem and prefer Mage's workflow
Choose Dagster if…
- → you're already in the Workflow Orchestration ecosystem and prefer Dagster's workflow