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Comparison · Infra & APIs

Apache Airflow vs Databricks

A side-by-side editorial comparison of Apache Airflow and Databricks — release velocity, themes, recent moves, and the top alternatives to consider.

Apache Airflow vs Databricks: at a glance

FeatureApache AirflowDatabricks
SectorInfra & APIsInfra & APIs, Analytics
Velocity score5.05.0
Sparks · 30d00
Top themesworkflow-orchestration, data-engineering, providers, release-candidatedata-platform, spark-4, databricks-runtime, jdk-21
Last editorial update1d ago5mo ago
WebsiteVisit →Visit →

What is Apache Airflow?

Airflow 3.4 reaches its first release candidate, a week after the 10-20 provider wave.

Airflow published constraints for 3.4.0rc1 on Oct 28, which means core 3.4 has moved from beta to release candidate. The surrounding activity is the 2026-10-20 provider batch (Snowflake 6.20, SMTP 3.2, OpenSearch 1.15, OpenAI 2.2, Standard 1.21 and others), all published without release notes, plus a TypeScript SDK 1.0.0-beta1.

Read the full Apache Airflow trajectory →

What is Databricks?

Databricks lands DBR 18.2 GA on Spark 4.1; the 18.x line is the active story, older LTS pages are mostly doc refreshes.

The substantive shipping event in the window is Databricks Runtime 18.2 GA on May 4, the latest minor in a fast 18.x cadence on Spark 4.1.0 (18.0 in January, 18.1 in March, 18.2 Beta on April 8, GA on May 4). The rest of the recent feed is an April 13 documentation refresh that updated release notes for older LTS versions — 14.3, 15.4, 16.4, 17.3, 13.3 — without new shipping behind them.

Read the full Databricks trajectory →

Apache Airflow vs Databricks: editorial side-by-side

A
Apache Airflow
INFRA · APIS
5.0

Airflow 3.4 reaches its first release candidate, a week after the 10-20 provider wave.

◆ Current state

Airflow published constraints for 3.4.0rc1 on Oct 28, which means core 3.4 has moved from beta to release candidate. The surrounding activity is the 2026-10-20 provider batch (Snowflake 6.20, SMTP 3.2, OpenSearch 1.15, OpenAI 2.2, Standard 1.21 and others), all published without release notes, plus a TypeScript SDK 1.0.0-beta1.

◆ Where it's heading

Core 3.4 is following the usual beta-to-RC path while providers ship on their own batch schedule. The TypeScript SDK beta and the common-ai provider suggest Airflow is widening who can author tasks, though the feed shows tags rather than feature notes.

◆ Prediction

Expect further 3.4.0 release candidates and then a 3.4.0 final within a few weeks; the entries don't show which features anchor it.

Databricks logo
Databricks
INFRA · APISANALYTICS
5.0

Databricks lands DBR 18.2 GA on Spark 4.1; the 18.x line is the active story, older LTS pages are mostly doc refreshes.

◆ Current state

The substantive shipping event in the window is Databricks Runtime 18.2 GA on May 4, the latest minor in a fast 18.x cadence on Spark 4.1.0 (18.0 in January, 18.1 in March, 18.2 Beta on April 8, GA on May 4). The rest of the recent feed is an April 13 documentation refresh that updated release notes for older LTS versions — 14.3, 15.4, 16.4, 17.3, 13.3 — without new shipping behind them.

◆ Where it's heading

Databricks is pushing Spark 4.1 hard through the runtime line: JDK 21 default in 18.x, breaking changes around NULL preservation and partition columns, aggressive deprecation of older behaviors (input_file_name removal, AWS SDK v1 shading). The 18.x cadence is roughly one minor every six weeks, and 16.4 LTS is acting as the bridge for customers needing to migrate Scala 2.12 code to 2.13 before they can move to 17 or 18.

◆ Prediction

Expect an 18.x LTS designation later in 2026 once the line stabilizes, with continued behavioral hardening and more shaded dependency cleanup. Doc refreshes for older LTS versions — particularly 13.3 LTS, which is close to its August 2026 end-of-support — will likely keep landing as Databricks pushes customers up the runtime stack.

Alternatives to Apache Airflow and Databricks

Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Apache Airflow or Databricks.

See all Apache Airflow alternatives → · See all Databricks alternatives →

Recent activity from Apache Airflow and Databricks

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1d agoApache AirflowConstraints for Airflow 3.4.0rc1 (first 3.4 release candidate)
  2. 5d agoApache AirflowKeycloak provider 0.11.2 patch
  3. 5d agoApache AirflowOpenSearch provider 1.15.0
  4. 5d agoApache AirflowSMTP provider 3.2.0
  5. 5d agoApache AirflowHashiCorp provider 4.8.4 patch
  6. 5d agoApache AirflowSnowflake provider 6.20.0
  7. 5mo agoDatabricksDatabricks Runtime 18.2 (released May 4, 2026)
  8. 6mo agoDatabricksDBR 18.0 documentation refresh
  9. 6mo agoDatabricksDatabricks Runtime 15.4 LTS Databricks Runtime 15.4 LTS for Machine Learning 3.5.0Aug 19, 2024Aug 19, 2027
  10. 6mo agoDatabricksDatabricks Runtime 13.3 LTS Databricks Runtime 13.3 LTS for Machine Learning 3.4.1Aug 22, 2023Aug 22, 2026
  11. 6mo agoDatabricksDatabricks Runtime 17.3 LTS Databricks Runtime 17.3 LTS for Machine Learning 4.0.0Oct 22, 2025Oct 22, 2028
  12. 6mo agoDatabricksDatabricks Runtime 18.2 (Beta) Databricks Runtime 18.2 for Machine Learning (Beta) 4.1.0Apr 8, 2026Oct 8, 2026

Frequently asked questions

What is the difference between Apache Airflow and Databricks?

They serve adjacent needs but don't currently overlap on shipped themes. Apache Airflow and Databricks are shipping at a similar cadence (velocity 5.0 vs 5.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Apache Airflow better than Databricks?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apache Airflow and Databricks are shipping at a similar cadence (velocity 5.0 vs 5.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

What are the best alternatives to Apache Airflow?

Top Apache Airflow alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Apache Airflow alternatives" section above for the current picks, or visit /alternatives/apache-airflow for the full list with editorial commentary on each.

What are the best alternatives to Databricks?

Top Databricks alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Databricks alternatives" section above for the current picks, or visit /alternatives/databricks for the full list with editorial commentary on each.