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Databases · head to head

Apache Airflow vs Sourcegraph

Apache Airflow logo

Apache Airflow

Databases

Programmatically author, schedule and monitor data workflows in Python

From
Free
Free plan
Yes
Visit Apache AirflowFull review
Sourcegraph logo

Sourcegraph

Developer Tools

Code search and intelligence platform for large codebases with Cody AI assistant

From
$16000/year
Free plan
No
Visit SourcegraphFull review

The short version

  • Sourcegraph is an enterprise code intelligence platform.
  • Apache Airflow is free; Sourcegraph starts at $16000/yr.
  • Where Apache Airflow falls short: self-hosting is genuinely heavy: scheduler, metadata database, workers and executor choice are a standing operational job.
  • Where Sourcegraph falls short: enterprise pricing starting at $16k annually creates significant barrier for small teams.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

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

Attributes where Apache Airflow and Sourcegraph differ
AttributeApache AirflowSourcegraph
Starting priceFree$16000/year
Pricing modelOpen source, no licence fee; managed services billed separatelySubscription
Free tierYesNo
PlatformsLinux, Self-hostedWeb, Self-hosted
CategoryDatabasesDeveloper Tools

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 Sourcegraph

Nothing recorded that Apache Airflow does not also cover.

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

Sourcegraph

  • Large-scale code migrations across hundreds of repositoriesnot Apache Airflow
  • Enterprise governance and code ownership trackingnot Apache Airflow
  • AI-assisted bug hunting and security pattern detectionnot Apache Airflow
  • Onboarding engineers into large unfamiliar codebasesnot Apache Airflow
  • Regulatory compliance and code audit trailsnot 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

Sourcegraph

  • Enterprise pricing starting at $16k annually creates significant barrier for small teams
  • No free tier or standard plan published; all options require custom sales engagement
  • Complex enterprise-only positioning limits adoption compared to GitHub Copilot's pervasiveness
  • Requires indexing entire codebase; not suitable for small or ephemeral projects

Pricing, plan by plan

Apache Airflow

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

Sourcegraph

$16000/year
  • Enterprise$16,000/yr
    • Scales with team size
    • Credits for AI features per user
    • Deep Search

Which should you pick?

Choose Apache Airflow if

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

Choose Sourcegraph if

  • You work on Web, Self-hosted.
Sourcegraph review

Questions people ask

Is Apache Airflow or Sourcegraph better?
Neither clearly leads. Apache Airflow starts at Free and Sourcegraph at $16000/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Airflow or Sourcegraph?
Apache Airflow has a free tier; the other does not. Paid plans start at Free for Apache Airflow and $16000/year for Sourcegraph.
Does Apache Airflow or Sourcegraph run on more platforms?
Apache Airflow runs on Linux, Self-hosted. Sourcegraph runs on Web, Self-hosted.
Can I use Apache Airflow for free?
Yes. Apache Airflow has a free tier, so you can try it without paying. Sourcegraph starts at $16000/year.
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 Sourcegraph is typically brought in for.
What can Apache Airflow do that Sourcegraph cannot?
Apache Airflow covers Pipelines as Python, Web UI, Cloud provider packages, Jinja templating.

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.

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.

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.

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.

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