Alternatives to Dagster
An open-source orchestrator for building, scheduling and monitoring data pipelines, with a hosted Dagster+ option. The listings below can replace it for an important use case. Each note says what changes if you switch.
The original
Dagster
An open-source orchestrator for building, scheduling and monitoring data pipelines, with a hosted Dagster+ option.
Replacements
Listings that take over the same core job as Dagster.
Apache Airflow
A self-hosted platform for writing, scheduling and monitoring workflows defined as Python code.
Apache Airflow is a fully free Apache-licensed scheduler with Python workflows and a large operator set, but uses task-based pipelines instead of Dagster's asset lineage model.
Prefect
A workflow orchestration tool for scheduling, retrying and observing Python data and ML pipelines.
Prefect defines Python flows with decorators, built-in retries and a run dashboard, with some features on its paid hosted platform; a merger with Dagster was announced.
Kestra
An open-source declarative orchestration platform for scheduled and event-driven workflows, self-hosted or in the cloud.
Kestra uses declarative workflows with over 2,000 plugins and event triggers, covering data, infrastructure and business workflows rather than only data engineering.
Flyte
An open-source orchestration platform for durable data, machine learning and AI agent workflows written in Python.
Flyte orchestrates data, ML and AI agent workflows in plain Python with recovery from failures, though Flyte 1 users need to migrate to Flyte 2.
Luigi
A Python tool from Spotify for building, scheduling and visualising pipelines of batch jobs.
Luigi is Spotify's Python tool for chaining batch jobs with dependency resolution and pipeline visualisation, but it lacks asset lineage and suits batch rather than event-driven work.
Windmill
An open-source, self-hostable platform for turning scripts into workflows, internal apps and scheduled jobs.
Windmill turns scripts in more than 20 languages into workflows, internal apps and schedules, aimed more broadly than data pipelines, with some enterprise-only features.
Dagu
A self-hosted workflow orchestrator that runs scripts, SSH commands and containers from declarative YAML files.
Dagu is a single-binary scheduler running scripts and containers from YAML with no database, suited to small teams rather than asset-based data pipelines.
Also worth comparing
These listings name Dagster as their own alternative, so the relationship runs both ways.
Apache NiFi
A visual dataflow system for automating the movement and transformation of data between systems.
Dagster uses an asset-based model with lineage tracking written in code, adds a hosted Dagster+ option, and has an uncertain roadmap after its announced merger with Prefect.
Similar software
Related functionality, not a direct replacement.
Trigger.dev
An open-source platform for durable background jobs, scheduled tasks and AI agents written in TypeScript.
Conductor
An open-source, event-driven workflow engine for durable execution of application and AI agent workflows.
Deepnote
A collaborative data notebook for Python and SQL with AI assistance, dashboards and data apps.
Apache Superset
A self-hosted data exploration and visualization platform with a no-code chart builder and SQL IDE.
Jupyter
Browser-based notebooks, JupyterLab and the classic Notebook, that combine live code, text and visualizations.