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Dagster alternatives: 6 apps ranked by verified data

Facts checked Nov 8, 2026AppBreakup editorialHow we rankAll workflow orchestration tools

Top picks

Common reasons people leave Dagster: asset-centric model takes time to learn if you think in tasks, and managed plans add usage-based credits on top of the monthly fee. We ranked 6 alternatives by how directly each one replaces Dagster, then by reviews, real visits and how recently each app's facts were checked against its own website. Apache Airflow currently ranks first.

Quick comparison

#AppPricingVerified priceOpen sourcePlatformsVerified factsScore
1Apache Airflow logoApache AirflowOpen source—YesLinux, Self-hosted, Web5 of 568.8
2Prefect logoPrefectOpen source$100/monthYesWeb, Linux, macOS +25 of 564.8
3Astronomer (Astro) logoAstronomer (Astro)PaidDeployments from $0.35/hr (Developer)NoWeb, Self-hosted7 of 761.8
4Flyte logoFlyteOpen source—YesSelf-hosted4 of 459.4
5Argo Workflows logoArgo WorkflowsOpen source—YesSelf-hosted4 of 457.5
6Google Cloud Composer (Managed Airflow) logoGoogle Cloud Composer (Managed Airflow)Paid$0.06 per DCU-hour (Composer 3, us-central1)NoWeb7 of 755.9
  1. Apache Airflow logo

    1. Apache AirflowTop pick

    Best for: Data engineering teams that want a proven, free orchestrator with a huge integration ecosystem

    Open sourceSelf-hostableLinux, Self-hosted, Web

    68.8

    score / 100

    Why switch from Dagster

    The most widely deployed open-source orchestrator, with the largest pool of operators, providers and experienced engineers.

    Pros

    • Free and open source with a very large community
    • Pipelines are plain Python, so they can be generated dynamically
    • Hundreds of ready-made operators for clouds and data tools
    • Managed versions available from several cloud providers

    Cons

    • Running scheduler, workers and metadata database yourself takes real ops effort
    • Local development and testing are clunkier than in newer tools like Prefect or Dagster
    • No official hosted service from the Apache project itself
    Visit Apache Airflow Details and reviews
    How this score is calculated
    Editorial fit ×0.3100
    Reviews ×0.363
    Clicks (90 days) ×0.150
    Freshness ×0.15100
    Votes ×0.150

    0 counted reviews, 0 up and 0 down votes. Full formula

    Is Apache Airflow a good Dagster alternative?

    Verified facts

    5 of 5 verified
    License
    Apache-2.0
    Checked Nov 1, 2026github.com(opens source in a new tab)
    Pipeline language
    Python
    Checked Nov 8, 2026airflow.apache.org(opens source in a new tab)
    Web UI
    Yes
    Checked Nov 8, 2026airflow.apache.org(opens source in a new tab)
    Cloud integrations
    GCP, AWS, Azure and more
    Checked Nov 8, 2026airflow.apache.org(opens source in a new tab)
    Maintainer
    Apache Software Foundation
    Checked Nov 8, 2026airflow.apache.org(opens source in a new tab)
  2. Prefect logo

    2. Prefect

    Best for: Python teams who want orchestration without rewriting code into a separate DAG framework

    Open sourceSelf-hostableWeb, Linux, macOS, Windows, Self-hosted

    64.8

    score / 100

    Why switch from Dagster

    Plain Python flows without an asset model, lighter to adopt when you just want to schedule and retry scripts.

    Pros

    • Plain Python with a decorator, little new to learn
    • Free hosted Hobby tier and a self-hostable open source server
    • Runs on your own compute, Kubernetes or serverless

    Cons

    • Free cloud tier is limited to 2 users and 5 deployments
    • Smaller integration ecosystem than Airflow
    • Paid plans jump quickly from a flat fee to per-user pricing
    Visit Prefect Details and reviews
    How this score is calculated
    Editorial fit ×0.387
    Reviews ×0.363
    Clicks (90 days) ×0.150
    Freshness ×0.15100
    Votes ×0.150

    0 counted reviews, 0 up and 0 down votes. Full formula

    Is Prefect a good Dagster alternative?

    Verified facts

    5 of 5 verified
    License
    Apache-2.0
    Checked Nov 2, 2026github.com(opens source in a new tab)
    Free plan
    Hobby, free forever
    Checked Nov 8, 2026prefect.io(opens source in a new tab)
    Free plan limits
    2 users, 5 deployments
    Checked Nov 8, 2026prefect.io(opens source in a new tab)
    Starter plan
    $100/month
    Checked Nov 8, 2026prefect.io(opens source in a new tab)
    Team plan
    $100 per user/month
    Checked Nov 8, 2026prefect.io(opens source in a new tab)
  3. Astronomer (Astro) logo

    3. Astronomer (Astro)

    Best for: Teams running Apache Airflow who want it managed, scaled and supported by Airflow specialists

    PaidWeb, Self-hosted

    61.8

    score / 100

    Why switch from Dagster

    Managed Airflow with deployment tooling and observability, if you want to move to Airflow without running it yourself.

    Pros

    • Runs standard Airflow DAGs, so existing pipelines move over with little change
    • Workers scale to zero when idle
    • Private cloud option for regulated environments
    • Buyable through AWS, Azure and GCP marketplaces

    Cons

    • Deployments bill by the hour even when no tasks run
    • Only orchestrates Airflow, so it doesn't help if you prefer another framework
    • SSO enforcement and longer audit logs need the Business tier or higher
    Visit Astronomer (Astro) Details and reviews
    How this score is calculated
    Editorial fit ×0.377
    Reviews ×0.363
    Clicks (90 days) ×0.150
    Freshness ×0.15100
    Votes ×0.150

    0 counted reviews, 0 up and 0 down votes. Full formula

    Is Astronomer (Astro) a good Dagster alternative?

    Verified facts

    7 of 7 verified
    Starting price
    Deployments from $0.35/hr (Developer)
    Checked Nov 8, 2026astronomer.io(opens source in a new tab)
    Idle workers
    Scale to zero
    Checked Nov 8, 2026astronomer.io(opens source in a new tab)
    Self-hosting
    Astro Private Cloud
    Checked Nov 8, 2026astronomer.io(opens source in a new tab)
    Marketplaces
    AWS, Azure, GCP
    Checked Nov 8, 2026astronomer.io(opens source in a new tab)
    Built on
    Apache Airflow
    Checked Nov 8, 2026astronomer.io(opens source in a new tab)
    Team plan
    Deployments from $0.42/hr
    Checked Nov 8, 2026astronomer.io(opens source in a new tab)
    Dedicated clusters
    From $2.40/hr
    Checked Nov 8, 2026astronomer.io(opens source in a new tab)
  4. Flyte logo

    4. Flyte

    Best for: ML and data teams on Kubernetes who want typed, reproducible Python pipelines.

    Open sourceSelf-hostableSelf-hosted

    59.4

    score / 100

    Why switch from Dagster

    Kubernetes-native, strongly typed workflows with caching and versioning, popular for ML pipelines at scale.

    Pros

    • Free and Apache 2.0 licensed
    • Typed task inputs and outputs catch errors early
    • Caching and retries resume from the failed step
    • Managed option through Union.ai

    Cons

    • Needs a Kubernetes cluster for production use
    • Flyte 2 changes the SDK, so Flyte 1 code needs migrating
    • Smaller community than Airflow
    Visit Flyte Details and reviews
    How this score is calculated
    Editorial fit ×0.369
    Reviews ×0.363
    Clicks (90 days) ×0.150
    Freshness ×0.15100
    Votes ×0.150

    0 counted reviews, 0 up and 0 down votes. Full formula

    Is Flyte a good Dagster alternative?

    Verified facts

    4 of 4 verified
    License
    Apache-2.0
    Checked Nov 5, 2026github.com(opens source in a new tab)
    Governance
    Linux Foundation AI & Data
    Checked Nov 8, 2026flyte.org(opens source in a new tab)
    SDK languages
    Python, TypeScript, Rust, Go
    Checked Nov 8, 2026flyte.org(opens source in a new tab)
    Managed version
    Union.ai
    Checked Nov 8, 2026flyte.org(opens source in a new tab)
  5. Argo Workflows logo

    5. Argo Workflows

    Best for: Platform teams already on Kubernetes who want container-native batch and ML pipelines.

    Open sourceSelf-hostableSelf-hosted

    57.5

    score / 100

    Why switch from Dagster

    Container-native workflows defined as Kubernetes resources, a good fit for teams that already run everything on Kubernetes.

    Pros

    • Free, Apache 2.0 licensed CNCF project
    • Any language works, since each step is a container
    • Handles large parallel jobs on Kubernetes
    • Python users can define workflows with Hera

    Cons

    • Requires a Kubernetes cluster
    • YAML definitions get verbose for data engineers used to Python
    • No hosted version from the project itself
    Visit Argo Workflows Details and reviews
    How this score is calculated
    Editorial fit ×0.363
    Reviews ×0.363
    Clicks (90 days) ×0.150
    Freshness ×0.15100
    Votes ×0.150

    0 counted reviews, 0 up and 0 down votes. Full formula

    Is Argo Workflows a good Dagster alternative?

    Verified facts

    4 of 4 verified
    License
    Apache-2.0
    Checked Nov 3, 2026github.com(opens source in a new tab)
    Runs on
    Kubernetes
    Checked Nov 8, 2026argoproj.github.io(opens source in a new tab)
    Workflow model
    DAG or step-based
    Checked Nov 8, 2026argoproj.github.io(opens source in a new tab)
    Implementation
    Kubernetes CRD
    Checked Nov 8, 2026argoproj.github.io(opens source in a new tab)
  6. Google Cloud Composer (Managed Airflow) logo

    6. Google Cloud Composer (Managed Airflow)

    Best for: Data teams on Google Cloud who want managed Airflow next to BigQuery and Dataflow

    PaidWeb

    55.9

    score / 100

    Why switch from Dagster

    Managed Airflow on Google Cloud, simpler for teams whose data platform already lives in BigQuery and GCS.

    Pros

    • Runs standard Apache Airflow DAGs
    • Close integration with BigQuery and other Google Cloud services
    • No servers to patch or scale

    Cons

    • Environments cost money even when idle
    • Tied to Google Cloud
    • New Airflow versions arrive later than upstream
    Visit Google Cloud Composer (Managed Airflow) Details and reviews
    How this score is calculated
    Editorial fit ×0.357
    Reviews ×0.363
    Clicks (90 days) ×0.150
    Freshness ×0.15100
    Votes ×0.150

    0 counted reviews, 0 up and 0 down votes. Full formula

    Is Google Cloud Composer (Managed Airflow) a good Dagster alternative?

    Verified facts

    7 of 7 verified
    Service type
    Fully managed Airflow
    Checked Nov 8, 2026cloud.google.com(opens source in a new tab)
    Based on
    Apache Airflow
    Checked Nov 8, 2026cloud.google.com(opens source in a new tab)
    New name
    Managed Service for Apache Airflow
    Checked Nov 8, 2026cloud.google.com(opens source in a new tab)
    Billing unit
    Compute units (DCU-hours)
    Checked Nov 8, 2026cloud.google.com(opens source in a new tab)
    Starting price
    $0.06 per DCU-hour (Composer 3, us-central1)
    Checked Nov 8, 2026cloud.google.com(opens source in a new tab)
    Gen 2 small environment fee
    $0.35 per hour
    Checked Nov 8, 2026cloud.google.com(opens source in a new tab)
    Gen 2 large environment fee
    $0.85 per hour
    Checked Nov 8, 2026cloud.google.com(opens source in a new tab)

The best Dagster alternative for…

The highest-ranked app in this list for each need.

Apache Airflow logo

Best Dagster alternative for most people

Apache Airflow

The most widely deployed open-source orchestrator, with the largest pool of operators, providers and experienced engineers.

Prefect logo

Best Dagster alternative for a free option

Prefect

Plain Python flows without an asset model, lighter to adopt when you just want to schedule and retry scripts.

Flyte logo

Best Dagster alternative for open source

Flyte

Kubernetes-native, strongly typed workflows with caching and versioning, popular for ML pipelines at scale.

Argo Workflows logo

Best Dagster alternative for self-hosting

Argo Workflows

Container-native workflows defined as Kubernetes resources, a good fit for teams that already run everything on Kubernetes.

Prefect logo

Best Dagster alternative for Mac

Prefect

Plain Python flows without an asset model, lighter to adopt when you just want to schedule and retry scripts.

Prefect logo

Best Dagster alternative for Windows

Prefect

Plain Python flows without an asset model, lighter to adopt when you just want to schedule and retry scripts.

Apache Airflow logo

Best Dagster alternative for Linux

Apache Airflow

The most widely deployed open-source orchestrator, with the largest pool of operators, providers and experienced engineers.

Astronomer (Astro) logo

Best Dagster alternative for working in the browser

Astronomer (Astro)

Managed Airflow with deployment tooling and observability, if you want to move to Airflow without running it yourself.

Dagster alternatives: common questions

What is the best alternative to Dagster?

Apache Airflow ranks first right now. The most widely deployed open-source orchestrator, with the largest pool of operators, providers and experienced engineers. Prefect and Astronomer (Astro) follow it in our ranking.

Dagster vs Apache Airflow: what's the difference?

Both Dagster and Apache Airflow are free and open source. Only Dagster runs on macOS and Windows.

Is Dagster free?

Dagster is free and open source. Solo plan: $10/month plus credits; Starter plan: $100/month plus credits; Free trial: 30 days. Checked on Dagster's own site, November 2026.

How much do Dagster alternatives cost?

Verified prices for the top-ranked Dagster alternatives: Prefect, $100/month; Astronomer (Astro), Deployments from $0.35/hr (Developer); Google Cloud Composer (Managed Airflow), $0.06 per DCU-hour (Composer 3, us-central1). Each price was checked on the app's own site; see each card below for the date and source.

Is there a free alternative to Dagster?

Yes. Apache Airflow (open source), Prefect (open source), Flyte (open source) and Argo Workflows (open source) have a free option. Check each app's verified facts for current plan limits.

Is there an open-source alternative to Dagster?

Yes: Apache Airflow, Prefect, Flyte and Argo Workflows. Apache Airflow, Prefect and Flyte can also be self-hosted.

Which Dagster alternatives work on Linux?

Apache Airflow and Prefect run on Linux.

Why do people switch from Dagster?

The complaints we hear most: asset-centric model takes time to learn if you think in tasks; managed plans add usage-based credits on top of the monthly fee; no free hosted tier beyond the trial.

How is this list ranked?

Every app is scored with the same published formula: how directly it replaces Dagster, reviews (weighted by verification), visits from AppBreakup, how recently its facts were checked against its own website, and reader votes.