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SlateIndex
Apache AirflowOpen-source platform to programmatically author, schedule, and monitor workflows.
vs
KNIMEAnalytics made intuitive, AI made reliable
Comparison · MLOps Platforms · weekly run Nov 2

Apache Airflow vs KNIME

Which one do AI engines recommend, and how do they differ on price, fit and features?

Track both brands

The short answer

Apache Airflow is the stronger AI pick in MLOps Platforms: it has a visibility score of 5.2 versus 0.4 for KNIME.

Choose Apache Airflow if…

  • You want the brand AI engines rank higher (5.2 vs 0.4)
  • AI answers describe it more positively (40% vs 0% positive)
  • free and open-source under Apache 2.0 license
  • recommended as orchestration in practical vendor-neutral stacks

Choose KNIME if…

  • You need more native integrations (300+ vs 98+)
  • You need ISO 27001 coverage

AI visibility side by side

Latest weekly run · Nov 2

Metric Apache Airflow KNIME
Visibility score5.2%0.4%
Change vs last weekNewNew
Rank in MLOps Platforms#18#49
Share of voice1.5%0.1%
Mentions this run101
Positive in AI answers40%0%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 2Apache Airflow 5%

Apache Airflow 0pp · KNIME 0pp over 0 weekly runs.

Engine by engine

Apache Airflow leads on 3 of 3 engines

ChatGPT
5.9%
1.1%
AI Mode
4.3%
0%
Perplexity
5.6%
0%
Apache AirflowKNIME

Head to head in AI answers

0 engine answers name both brands

0Apache Airflow ranked higher
0KNIME ranked higher

Features, pricing & fit

DimensionApache AirflowKNIME
DeploymentSelf-hosted, installed via PyPI as the apache-airflow package or deployed from Docker images.Installed on the customer's own infrastructure, local, cloud or hybrid, with a SaaS option for small teams
Integrations98+300+
Compliance—ISO 27001
Support—Customer care team, reached through the contact form
Founded20152008
HeadquartersWilmington, DelawareZurich, Switzerland
Employees—201–500
Funding—Growth round, led by Invus · $50M raised
Best forTeams that run both data engineering and data science workflows and want to define them in Python.Business experts, data scientists, and MLOps and IT teams in enterprises that need explainable, governed analytics and AI

Pros and cons

Themes from the AI answers that mention each brand

Apache Airflow

  • free and open-source under Apache 2.0 license
  • recommended as orchestration in practical vendor-neutral stacks

    KNIME

    Profile in progress.

    Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

    Cite as: SlateIndex, “Apache Airflow vs KNIME”, https://slateindex.ai/compare/apache-airflow-vs-knime, data of Nov 2, 2026. Licence: CC BY 4.0.