Apache Airflow vs Databricks

Apache Airflow vs Databricks, compared side by side on 14 data points: what each one does, how big it is, what it has raised, the tech running each site, and what users report. We score both out of 100 on traction, team and visibility: Apache Airflow is on 20/100 and Databricks on 82/100.

Apache Airflow logo
Apache AirflowOpen-source platform for programmatically authoring, scheduling, and monitoring data pipelines.
Try Apache Airflow
Databricks logo
DatabricksA unified data analytics and AI platform built on the lakehouse architecture.
Try Databricks

Where each one leads

Apache Airflow

Leads on none of the measures we hold for both companies.

Databricks

  • our overall score: 82/100 against 20/100
  • agent readiness: 49/100 against 36/100

At a glance

MeasureApache AirflowDatabricks
What it isOpen-source platform for programmatically authoring, scheduling, and monitoring data pipelines.A unified data analytics and AI platform built on the lakehouse architecture.
CategoryMLOps, DataOps, Workflow Automation, Scheduling SystemData Analytics, Machine Learning, Cloud Computing, Data Platform
Sells toBusiness modelOpen SourceB2B
OfferingSoftwarePlatform
Founded20142013
HeadquartersNot publishedSan Francisco, United States
StatusActiveActive

Size, funding and growth

MeasureApache AirflowDatabricks
EmployeesNot published15,082
Headcount growthLast 12 monthsNot published+27.1%
Total fundingNot published$37B
Latest roundNot publishedStrategic Financing
ValuationNot published$190B
LinkedIn followersNot published1,191,281

StartupHub scores

Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.

MeasureApache AirflowDatabricks
StartupHub scoreOur 0-100 rating20/10082/100
TractionNot published60/100
Team30/10070/100
CommunityNot published25/100
Search visibility34/10069/100
QualityNot published96/100
Agent readinessHow well an AI agent can read and act on the siteF (36/100)D (49/100)
Domain ratingLink authority, 0-10093/10088/100

Technology

Detected on each public site, so it reflects the marketing stack as well as the product.

MeasureApache AirflowDatabricks
HostingSelf ManagedVercel
CDNNot detectedCloudflare
AnalyticsMatomoNot detected
Open sourceYesYes
Self-hostableYesYes

What users say

MeasureApache AirflowDatabricks
Community ratingVisitor votes on StartupHubNot published3.5/5 from 2 votes
Reddit sentimentThreads we track3 positive, 1 negative across 6 threadsNot published
Apache Airflow
Apache Airflow 3.0 is here – and it’s a big one!. After months of work from the community, Apache Airflow 3.0 has officially landed and it marks a major shift in how we think about orchestration! This release lays the foundation for a more
r/dataengineering

Apache Airflow vs Databricks: common questions

Which is better, Apache Airflow or Databricks?

On our 0-100 score Databricks rates higher (82/100 against 20/100). The score weights traction, team, visibility and profile completeness, so it reflects company strength rather than which product suits you. We compare the two on 14 data points above: read the rows that match what you are buying for.

How do Apache Airflow and Databricks compare on the numbers?

Databricks leads on our overall score (82/100 against 20/100), agent readiness (49/100 against 36/100).

What do real users say about Apache Airflow and Databricks?

Apache Airflow: 3 positive and 1 negative mentions across 6 Reddit threads we track, mostly in r/dataengineering.

Read the full Apache Airflow review and pricing or the Databricks review and pricing. You can also browse other Apache Airflow alternatives we track.