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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
What is Apache Airflow?
Airflow's Go, Java and TypeScript SDKs all reach 1.0 on the same day.
On November 13 Apache Airflow released stable 1.0.0 SDKs for Java, TypeScript and Go within an hour. The Java SDK authors Dags natively, with dependencies, task groups, branching, Dag triggers and the Variable and task state APIs, serialized to the same format as Python Dags. The Go and TypeScript 1.0 releases are mostly last fixes after their betas. The Amazon provider 9.40.0 also went final.
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.
Apache Airflow vs Databricks: editorial side-by-side
Apache Airflow
7.5INFRA · APIS
Airflow's Go, Java and TypeScript SDKs all reach 1.0 on the same day.
◆ Current state
On November 13 Apache Airflow released stable 1.0.0 SDKs for Java, TypeScript and Go within an hour. The Java SDK authors Dags natively, with dependencies, task groups, branching, Dag triggers and the Variable and task state APIs, serialized to the same format as Python Dags. The Go and TypeScript 1.0 releases are mostly last fixes after their betas. The Amazon provider 9.40.0 also went final.
◆ Where it's heading
Airflow 3.4 made non-Python Dags possible as an experiment; a week later the language SDKs are declared stable. The project is turning its scheduler into a runtime that teams in Java, Go and TypeScript shops can adopt without writing Python. Provider releases keep their usual batched cadence underneath.
◆ Prediction
Expect the experimental Dag Importer and Task Loops from 3.4 to move toward stable in a 3.5 release, and SDK patch releases as first production users report issues.
Databricks
5.0INFRA · APISANALYTICS
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.
Payload CMS
Payload's v4 beta.9 keeps every past image crop and raises the Node floor again.
Nautobot
Nautobot 3.3 alpha 2 adds test helpers and a cable location filter after 3.2.9's token-leak fix.
Clair
Clair 4.10 RC can read SBOMs to match Java vulnerabilities.
Shuffle
Shuffle tags builds almost daily, but the notes are empty.
KrakenD
KrakenD's community edition is shipping only dependency bumps.
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.
- 1d agoApache AirflowApache Airflow Go SDK 1.0.0
- 1d agoApache AirflowApache Airflow TypeScript SDK 1.0.0
- 1d agoApache AirflowApache Airflow Java SDK 1.0.0 ⚡
- 1d agoApache AirflowAmazon provider 9.40.0 final release
- 4d agoApache AirflowAmazon provider 9.40.0, second release candidate
- 4d agoApache AirflowSSH provider 7.0.2 patch release
- 6mo agoDatabricksDatabricks Runtime 18.2 (released May 4, 2026)
- 7mo agoDatabricksDBR 18.0 documentation refresh
- 7mo agoDatabricksDatabricks Runtime 15.4 LTS Databricks Runtime 15.4 LTS for Machine Learning 3.5.0Aug 19, 2024Aug 19, 2027
- 7mo agoDatabricksDatabricks Runtime 13.3 LTS Databricks Runtime 13.3 LTS for Machine Learning 3.4.1Aug 22, 2023Aug 22, 2026
- 7mo agoDatabricksDatabricks Runtime 17.3 LTS Databricks Runtime 17.3 LTS for Machine Learning 4.0.0Oct 22, 2025Oct 22, 2028
- 7mo 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 is currently shipping more aggressively (velocity 7.5 vs 5.0), with 1 editorial sparks in the last 30 days against 0. 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 is currently shipping more aggressively (velocity 7.5 vs 5.0), with 1 editorial sparks in the last 30 days against 0. 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.