Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

Head-to-head · DataOps Platforms

Apache Airflow vs Keboola

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Apache Airflow #1 in DataOps Platforms 9.3/10 Free plan Free plan✓ 0 of 4 features Visit Apache Airflow
Keboola #5 in DataOps Platforms 8.8/10 Free plan Free plan✓ 0 of 4 features Visit Keboola

Apache Airflow leads on 0 checks, Keboola on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreApache Airflow · 9.3/10
  • Free planboth

Apache Airflow scores higher on our rubric for dataops platforms: 9.3 against 8.8 out of 10; our editors rank them #1 and #5.

Apache Airflow is the better fit for teams wanting proven Python workflow orchestration. Keboola is the better fit for teams seeking managed connectors and flexible pipelines.

  • Apache Airflow fits best

    Teams wanting proven Python workflow orchestration

  • Keboola fits best

    Teams seeking managed connectors and flexible pipelines

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Apache Airflow 9.3/10 Visit ↗ Keboola 8.8/10 Visit ↗
At a glance
Editor score 9.3 8.8
Ranking #1 in DataOps Platforms #5 in DataOps Platforms
Best for Teams wanting proven Python workflow orchestration Teams seeking managed connectors and flexible pipelines
Pricing model Free Free plan + paid
Starting price Free plan $0.14/unit usage-based
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted Cloud, Self-hosted
Platforms Web Web
Support Community, Docs Live chat, Docs
Built for Small business, Mid-market, Enterprise Mid-market, Enterprise
Features Apache Airflow 0/4 · Keboola 0/4
Workflow scheduling Not checked yet Not checked yet
Pipeline monitoring Not checked yet Not checked yet
Data quality checks Not checked yet Not checked yet
Version control Not checked yet Not checked yet
Specs
Deployment options Not checked yet Not checked yet
Supported integrations Not checked yet Not checked yet
Our review
Pros
  • Author DAGs in Python and define task dependencies.
  • Automatic retries and configurable retry policies help manage failures.
  • Monitor logs, task status, and execution through a web UI.
  • Free plan includes unlimited ETL/ELT pipelines and 1,500+ data sources
  • Supports SQL, Python, R, and dbt transformations with visual orchestration
  • Offers CDC, lineage, and hybrid or private VPC deployment options
Cons
  • Deployment is self-hosted, so teams manage the environment.
  • Workflows are authored in Python rather than a visual builder.
  • Support channels are community and documentation.
  • Free plan is limited to one Keboola project
  • Enterprise capabilities require a sales conversation for pricing
  • Compute beyond the included free allocation costs $0.14 per minute
Our verdict

Apache Airflow is an open-source workflow orchestration platform for teams building data pipelines, machine-learning workflows, infrastructure automation, and other batch-oriented processes. Workflows are defined as Python-based directed…

Read the review →

Keboola brings data integration, transformation, and operations into a platform for data teams, analysts, and enterprises. Managed connectors cover SaaS applications, databases, event streams, and REST APIs, while destinations include BI…

Read the review →
  1. Apache AirflowDataOps Platforms 9.3Free plan
  2. KeboolaDataOps Platforms 8.8Free plan

Strengths and trade-offs

  • Apache Airflow — where it wins

    • Author DAGs in Python and define task dependencies.
    • Automatic retries and configurable retry policies help manage failures.
    • Monitor logs, task status, and execution through a web UI.

    Where it doesn't

    • Deployment is self-hosted, so teams manage the environment.
    • Workflows are authored in Python rather than a visual builder.
    • Support channels are community and documentation.

  • Keboola — where it wins

    • Free plan includes unlimited ETL/ELT pipelines and 1,500+ data sources
    • Supports SQL, Python, R, and dbt transformations with visual orchestration
    • Offers CDC, lineage, and hybrid or private VPC deployment options

    Where it doesn't

    • Free plan is limited to one Keboola project
    • Enterprise capabilities require a sales conversation for pricing
    • Compute beyond the included free allocation costs $0.14 per minute

More comparisons

All DataOps platforms comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update