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Databases · head to head

Apache Airflow vs Baserow

Apache Airflow logo

Apache Airflow

Databases

Programmatically author, schedule and monitor data workflows in Python

From
Free
Rated
-
Full reviewWebsite
Baserow logo

Baserow

Spreadsheets

Open-source no-code database platform

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Apache Airflow self-hosting is genuinely heavy: scheduler, metadata database, workers and executor choice are a standing operational job; Baserow the free tier is capped at 3,000 rows and 2GB of storage per workspace
  • They diverge on capability: Apache Airflow covers Pipelines as Python, Baserow covers Database tables.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Apache Airflow and Baserow actually diverge.

Attributes where Apache Airflow and Baserow differ
AttributeApache AirflowBaserow
Pricing modelOpen source, no licence fee; managed services billed separatelyfreemium
PlatformsLinux, Docker, Kubernetes, Self-hostedWeb, Api, Self-hosted
CategoryDatabasesSpreadsheets
FoundedUnknown2019

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Apache Airflow

  • Pipelines as Python
  • Web UI
  • Cloud provider packages
  • Jinja templating
  • Retries and dependencies
  • Extensible operators

Only in Baserow

  • Database tables
  • Multiple views
  • Forms
  • API access
  • Real-time collaboration
  • Templates
  • Plugins
  • Self-hosting

What people use each for

The jobs each tool is most often brought in to do.

Apache Airflow

  • Scheduling nightly ETL where step order and retries matternot Baserow
  • Coordinating machine learning training and evaluation runsnot Baserow
  • Orchestrating dbt runs alongside extraction and loadingnot Baserow
  • Replacing a sprawl of cron jobs with dependencies and visible run historynot Baserow

Baserow

  • Self-hosting an open source alternative to a spreadsheet databasenot Apache Airflow
  • Structured team data with Kanban, calendar and grid viewsnot Apache Airflow
  • Building internal tools on top of a database with an APInot Apache Airflow
  • Sharing data with external app users without giving them full seatsnot Apache Airflow

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Apache Airflow

  • Self-hosting is genuinely heavy: scheduler, metadata database, workers and executor choice are a standing operational job
  • Built for scheduled batch work, and a poor fit for event-driven or sub-minute latency pipelines
  • Because DAGs are Python that the scheduler parses continuously, expensive top-level code in a DAG file slows the whole scheduler
  • Local development and testing of DAGs is awkward compared with newer orchestrators designed with it in mind

Baserow

  • The free tier is capped at 3,000 rows and 2GB of storage per workspace
  • Kanban, calendar and survey views need Premium at $10 per user per month billed yearly
  • Role-based permissions, audit logs and SSO require Premium or higher
  • Row limits are per workspace rather than per table, so splitting data across bases does not raise the ceiling
  • Automation runs are metered as credits, 2,000 a month on free

Pricing, plan by plan

Apache Airflow

Free
  • Apache AirflowFree
    • Full scheduler and web UI
    • All provider packages
    • No task or DAG limits

Baserow

Free
  • FreeFree
    • 3000 rows per workspace
    • 2 GB storage per workspace
    • 2000 automation credits monthly
  • Premium$10/month
    • 50000 rows per workspace
    • 20 GB storage per workspace
    • 100000 automation credits monthly
  • Advanced$18/month
    • 250000 rows per workspace
    • 100 GB storage per workspace
    • 500000 automation credits monthly
  • Enterprise$null/month
    • 1000000 rows per workspace
    • 1000 GB storage per workspace
    • 2000000 automation credits monthly

Which should you pick?

Choose Apache Airflow if

  • You need pipelines as python.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Self-hosted.
  • You also want web ui.
Apache Airflow review

Choose Baserow if

  • You need database tables.
  • You want to start without paying.
  • You work on Web, Api, Self-hosted.
  • You also want multiple views.
Baserow review

Questions people ask

Is Apache Airflow or Baserow better?
Neither clearly leads. Apache Airflow starts at Free and Baserow at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Airflow or Baserow?
Apache Airflow starts at Free and Baserow at Free.
Does Apache Airflow or Baserow run on more platforms?
Apache Airflow runs on Linux, Docker, Kubernetes, Self-hosted. Baserow runs on Web, Api, Self-hosted.
Can I use Apache Airflow for free?
Both have a free tier, so you can try either at no cost before committing.
What is Apache Airflow best used for?
Apache Airflow is most often used for scheduling nightly etl where step order and retries matter, coordinating machine learning training and evaluation runs, orchestrating dbt runs alongside extraction and loading, replacing a sprawl of cron jobs with dependencies and visible run history. Of those, scheduling nightly etl where step order and retries matter and coordinating machine learning training and evaluation runs are not what Baserow is typically brought in for.
What can Apache Airflow do that Baserow cannot?
Apache Airflow covers Pipelines as Python, Web UI, Cloud provider packages, Jinja templating. Baserow covers Database tables, Multiple views, Forms, API access.

Answered from the vendors’ own pages

Apache Airflow: Is Apache Airflow free?

Yes. Airflow is open source under the Apache Software Foundation with no licence fee. Costs are the infrastructure to run it, or a managed service such as Google Cloud Composer or Amazon MWAA.

Baserow: Does Baserow have a free plan?

Baserow's Free plan includes 3000 rows per workspace, 2 GB storage, 2000 automation credits monthly, and access to Grid, Form, and Gallery views. It supports up to 500 external app users and includes 65+ templates with no credit card required.

Source
Apache Airflow: What language are Airflow workflows written in?

Python. A workflow is a Python file, so standard language features including loops and datetime handling can generate tasks dynamically, with no XML or command-line configuration.

Baserow: What row and storage limits does Baserow provide by plan?

Free plan: 3000 rows and 2 GB storage; Premium plan: 50000 rows and 20 GB; Advanced plan: 250000 rows and 100 GB; Enterprise plan: 1000000 rows and 1 TB. All limits are per workspace.

Source
Apache Airflow: Is Airflow suitable for real-time pipelines?

Not really. Airflow is designed for scheduled batch orchestration. Event-driven or sub-minute work is better served by a streaming platform such as Kafka or a purpose-built streaming engine.

Baserow: How much does Baserow Premium cost?

Baserow Premium costs $10 per user per month when billed annually, or $12 per month when billing monthly. Yearly billing provides better rates than monthly. Advanced plan costs $18/user/month annually or $22/month monthly.

Source
Apache Airflow: What are the main alternatives to Airflow?

Dagster and Prefect are the two most commonly weighed against it, both newer and both designed around the local development and testing experience Airflow is criticised for.

Baserow: What are automation credit limits in Baserow?

Free plan provides 2000 monthly automation credits, Premium provides 100000 monthly credits, Advanced provides 500000 monthly credits, and Enterprise provides 2000000 monthly credits for workflow automation.

Source
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