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Comparison · Infra & APIs

Databricks vs Fission

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

Databricks vs Fission: at a glance

FeatureDatabricksFission
SectorInfra & APIs, AnalyticsInfra & APIs
Velocity score5.00.0
Sparks · 30d00
Top themesdata-platform, spark-4, databricks-runtime, jdk-21serverless, kubernetes, faas, release-candidates
Last editorial update3mo ago9h ago
WebsiteVisit →Visit →

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 →

What is Fission?

Fission's release feed carries only RC tags, and none of them say what shipped

Every entry here is a release candidate — v1.22.0-rc1 and rc2, v1.23.0-rc1, v1.25.0-rc1 — with no final release appearing between them, and the version sequence skips 1.24 entirely. The bodies are whatever the tagging commit said, so what reaches this feed is a dependabot bump, a CLI tool-version refresh, a codegen sync explicitly labelled as having no functional change, and one entry that is nothing but links to an external release-highlights page. The actual release notes live on the project's documentation site, not here.

Read the full Fission trajectory →

Databricks vs Fission: editorial side-by-side

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.

F
Fission
INFRA · APIS
0.0

Fission's release feed carries only RC tags, and none of them say what shipped

◆ Current state

Every entry here is a release candidate — v1.22.0-rc1 and rc2, v1.23.0-rc1, v1.25.0-rc1 — with no final release appearing between them, and the version sequence skips 1.24 entirely. The bodies are whatever the tagging commit said, so what reaches this feed is a dependabot bump, a CLI tool-version refresh, a codegen sync explicitly labelled as having no functional change, and one entry that is nothing but links to an external release-highlights page. The actual release notes live on the project's documentation site, not here.

◆ Where it's heading

What can be read from these tags is infrastructure maintenance rather than product direction: Go dependency updates, helm and kind and skaffold and cosign version refreshes, and regenerated swagger and applyconfiguration files kept in sync with CEL and webhook validation comments in the core API types. That last one is the only entry hinting at anything structural — CEL-based validation on the API types implies declarative validation moving into the CRDs — but the commit itself changes only generated output.

◆ Prediction

This feed does not carry enough to predict product direction; until final releases or their notes appear here rather than only candidate tags, any read of where Fission is heading would be guesswork.

Alternatives to Databricks and Fission

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 Databricks or Fission.

See all Databricks alternatives → · See all Fission alternatives →

Recent activity from Databricks and Fission

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

  1. 2mo agoFissionFission 1.25.0-rc1 tag carries only regenerated codegen output
  2. 2mo agoFissionFission 1.23.0-rc1 tag carries a CI tool-version refresh
  3. 3mo agoDatabricksDatabricks Runtime 18.2 (released May 4, 2026)
  4. 4mo agoDatabricksDBR 18.0 documentation refresh
  5. 4mo agoDatabricksDatabricks Runtime 15.4 LTS Databricks Runtime 15.4 LTS for Machine Learning 3.5.0Aug 19, 2024Aug 19, 2027
  6. 4mo agoDatabricksDatabricks Runtime 13.3 LTS Databricks Runtime 13.3 LTS for Machine Learning 3.4.1Aug 22, 2023Aug 22, 2026
  7. 4mo agoDatabricksDatabricks Runtime 17.3 LTS Databricks Runtime 17.3 LTS for Machine Learning 4.0.0Oct 22, 2025Oct 22, 2028
  8. 4mo agoDatabricksDatabricks Runtime 18.2 (Beta) Databricks Runtime 18.2 for Machine Learning (Beta) 4.1.0Apr 8, 2026Oct 8, 2026
  9. 7mo agoFissionv1.22.0-rc2
  10. 9mo agoFissionFission 1.22.0-rc1 tag carries a golang.org/x/net bump

Frequently asked questions

What is the difference between Databricks and Fission?

They serve adjacent needs but don't currently overlap on shipped themes. Databricks is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 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 Databricks better than Fission?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Databricks is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 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 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.

What are the best alternatives to Fission?

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