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Databases · head to head

Apache Airflow vs Fivetran

Apache Airflow logo

Apache Airflow

Databases

Programmatically author, schedule and monitor data workflows in Python

From
Free
Rated
-
Full reviewWebsite
Fivetran logo

Fivetran

Automation Integration

The most trusted data movement 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; Fivetran billed on monthly active rows, so the bill tracks how much source data changes rather than how much is stored or queried
  • They diverge on capability: Apache Airflow covers Pipelines as Python, Fivetran covers Automated data pipeline.

Where they differ

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

Attributes where Apache Airflow and Fivetran differ
AttributeApache AirflowFivetran
Pricing modelOpen source, no licence fee; managed services billed separatelyusage-based
PlatformsLinux, Docker, Kubernetes, Self-hostedWeb, Cloud
CategoryDatabasesAutomation Integration
FoundedUnknown2012

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 Fivetran

  • Automated data pipeline
  • Change Data Capture
  • Data transformation
  • Real-time sync
  • Monitoring
  • Data quality
  • Scheduling
  • Notifications

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 Fivetran
  • Coordinating machine learning training and evaluation runsnot Fivetran
  • Orchestrating dbt runs alongside extraction and loadingnot Fivetran
  • Replacing a sprawl of cron jobs with dependencies and visible run historynot Fivetran

Fivetran

  • Managed data pipelines from SaaS sources into a warehousenot Apache Airflow
  • Keeping a warehouse in sync with production databases without writing connectorsnot 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

Fivetran

  • Billed on monthly active rows, so the bill tracks how much source data changes rather than how much is stored or queried
  • Each connection follows its own cost curve, so total spend is hard to predict before running a pipeline
  • The free plan allows 500,000 monthly active rows, 3,500 activation rows and 5,000 model runs
  • Transformations are metered separately, from $0.01 per model run above 5,000 down to $0.002 above 100,000
  • A schema change upstream that touches many rows raises the bill without any change on the customer's side

Pricing, plan by plan

Apache Airflow

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

Fivetran

Free
  • FreeFree
    • Limited connectors
    • Basic support
  • Standard$300/month
    • 500+ connectors
    • Priority support
  • Enterprise$1000/month
    • Custom connectors
    • Dedicated support

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 Fivetran if

  • You need automated data pipeline.
  • You want to start without paying.
  • You work on Web, Cloud.
  • You also want change data capture.
Fivetran review

Questions people ask

Is Apache Airflow or Fivetran better?
Neither clearly leads. Apache Airflow starts at Free and Fivetran at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Airflow or Fivetran?
Apache Airflow starts at Free and Fivetran at Free.
Does Apache Airflow or Fivetran run on more platforms?
Apache Airflow runs on Linux, Docker, Kubernetes, Self-hosted. Fivetran runs on Web, Cloud.
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 Fivetran is typically brought in for.
What can Apache Airflow do that Fivetran cannot?
Apache Airflow covers Pipelines as Python, Web UI, Cloud provider packages, Jinja templating. Fivetran covers Automated data pipeline, Change Data Capture, Data transformation, Real-time sync.

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.

Fivetran: What does Fivetran's free plan include?

The free plan includes 500,000 monthly active rows for connections, 3,500 monthly active rows for activations, and 5,000 monthly model runs for transformations.

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.

Fivetran: What is the trial period for Fivetran?

Fivetran offers a 14-day risk-free trial for new accounts. Each new connection also includes 14 days of free use, with trial extensions available by contacting support.

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.

Fivetran: How much do I save by paying annually instead of monthly?

Annual contracts save up to 22.6% compared to monthly pricing, with tiered discounts starting at 5% and increasing based on annual list price.

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.

Fivetran: Can I cancel or modify my Fivetran subscription anytime?

Plans can be upgraded at any time. Connections can be added or removed at any time, and you can block tables or schemas to reduce usage. Downgrade or cancellation policies are not specified on the pricing page.

Source
Fivetran: What is the pricing for Fivetran transformations?

Transformations cost $0.01 per run for 5,001 to 30,000 monthly runs, with per-run costs declining as volume increases.

Source
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