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Best Data Orchestration Software in 2026

Data orchestration software helps coordinate data workflows across services and environments. Use this category to compare tools for planning and running those workflows. The listed platforms include web, API, self-hosted, Linux, macOS and Windows.

16 appsSorted 28 Oct 2026How we rank
18.0
Flyte logo

Flyte is a durable AI runtime for workloads involving training, serving, and agents.

Free planOpen sourceWebAPILinux
Free plan
27.9
Kestra logo

Kestra is a declarative platform for creating, running, and governing workflows across an organization.

Free planOpen sourceWebAPILinux
Free plan
37.4

Apache DolphinScheduler is a free, open-source platform for designing and coordinating data workflows.

Free planOpen sourceWebAPILinux
Free plan
  1. 4Azure Data Factory logo

    Azure Data Factory

    Azure Data Factory is a paid, web-based service for data integration and transformation.

    WebAPISelf-hostedWindows
    7.3From $0.10 a month
  2. 5

    Prefect

    Prefect is a workflow orchestration platform for data, machine learning, and agent workflows written in Python.

    Free planWebAPISelf-hosted
    6.9From $100 a month
  3. 6Apache Airflow logo

    Apache Airflow

    Apache Airflow is a platform for authoring, scheduling, and monitoring workflows defined in Python.

    Free planWebAPILinuxmacOS
    6.6Free plan
  4. 7Dagster logo

    Dagster

    Dagster is a data-aware orchestrator for building, running, and monitoring data pipelines and assets.

    WebAPILinuxSelf-hosted
    6.6
  5. 8

    Luigi

    Luigi is a free Python package for building and coordinating complex pipelines of batch jobs.

    Free planWebAPILinuxSelf-hosted
    6.2Free plan
  6. 9
    5.6From $1.75 a month
  7. 10

    Mage

    Web
    5.4From $29 a month
  8. 11

    Astronomer

    Astronomer

    5.1From $0.35 a month
  9. 12

    Rivery

    Rivery

    4.8
  10. 13
    4.3
  11. 14

    Apache Oozie

    Apache Software Foundation

    4.3
  12. 15
    4.3
  13. 16
    4.3

Choosing well

Compare free plans, trials and paid pricing

A free plan is available from tools such as Apache Airflow, Apache DolphinScheduler, Apache Oozie, Flyte, Kestra and Databricks Workflows. Check what the provider includes before moving a workflow into production.

Paid options use different models. Astronomer lists Developer at $0.35 a month and Team at $0.42 a month. Dagster lists paid plans from $10 a month and a 30-day trial, while Azure Data Factory lists a free trial without a free plan.

Match the deployment platform

The category covers web, API, self-hosted, Linux, macOS and Windows platforms. Pick a deployment route that fits your existing data systems and the device used to manage them.

IBM DataStage is listed for web use.

Check open-source availability

Open-source code is offered in this category. Apache DolphinScheduler is identified as open source, and other free tools may use different licence terms.

Read the licence for a project before changing code, redistributing it or building a hosted service around it.

Decide between managed and self-hosted

Managed services can reduce the setup work for an orchestration system, while self-hosted platforms give you control over where it runs. Amazon Managed Workflows for Apache Airflow and Google Cloud Composer are managed services built around Apache Airflow.

Compare the provider's platform support and pricing with the operating systems or cloud environment your team already uses.

Questions people ask

Is there data orchestration software with a free plan?

Yes. Apache Airflow, Apache DolphinScheduler, Apache Oozie, Flyte, Kestra and Databricks Workflows are listed with free plans.

Does this category include open-source tools?

Yes. Apache DolphinScheduler is listed as open source. Check the licence for any project before modifying or redistributing its code.

Are free trials available?

Yes. Azure Data Factory lists a free trial, and Dagster lists a 30-day trial. Trial terms can differ from free-plan terms.

Which platforms are covered?

The listed platform types are web, API, self-hosted, Linux, macOS and Windows. Confirm the exact platform for a tool before deployment.

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