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Comparison · Infra & APIs

Databricks vs Hatchet

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

Databricks vs Hatchet: at a glance

FeatureDatabricksHatchet
SectorInfra & APIs, AnalyticsInfra & APIs
Velocity score5.06.3
Sparks · 30d00
Top themesdata-platform, spark-4, databricks-runtime, jdk-21durable-execution, reliability, sdks, sandboxes
Last editorial update6mo ago15h 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 Hatchet?

Hatchet chases DAG crash loops through three engine patches in a day.

Hatchet added sandboxes, Labs switches and cloud MFA in early November. The week since has been engine reliability: v0.120.3 batches DAG step triggers, v0.120.4 fixes stranded match rows and prunes database partitions before locking, and v0.120.5 removes another cause of DAG crash loops. Python SDK 1.46.0 makes it easier to unit-test tasks and passes failures to cleanup dependencies.

Read the full Hatchet trajectory →

Databricks vs Hatchet: 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.

H
Hatchet
INFRA · APIS
6.3

Hatchet chases DAG crash loops through three engine patches in a day.

◆ Current state

Hatchet added sandboxes, Labs switches and cloud MFA in early November. The week since has been engine reliability: v0.120.3 batches DAG step triggers, v0.120.4 fixes stranded match rows and prunes database partitions before locking, and v0.120.5 removes another cause of DAG crash loops. Python SDK 1.46.0 makes it easier to unit-test tasks and passes failures to cleanup dependencies.

◆ Where it's heading

After a burst of features, Hatchet is tuning the engine under load: fewer locks, batched triggers and crash-loop fixes. The SDKs are getting testing and correctness work to match.

◆ Prediction

Expect more v0.120.x patches on DAG handling, then a sandbox package out of release candidate.

Alternatives to Databricks and Hatchet

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 Hatchet.

See all Databricks alternatives → · See all Hatchet alternatives →

Recent activity from Databricks and Hatchet

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

  1. 17h agoHatchetHatchet v0.120.5 fixes another DAG crash loop
  2. 17h agoHatchetPython SDK 1.46.0
  3. 20h agoHatchetHatchet v0.120.4 fixes stranded match rows
  4. 22h agoHatchetv0.120.4 alpha prunes partitions before locking
  5. 1d agoHatchetHatchet sandbox package 0.1.5 release candidate
  6. 1d agoHatchetHatchet v0.120.3 batches DAG step triggers
  7. 6mo agoDatabricksDatabricks Runtime 18.2 (released May 4, 2026)
  8. 7mo agoDatabricksDBR 18.0 documentation refresh
  9. 7mo agoDatabricksDatabricks Runtime 15.4 LTS Databricks Runtime 15.4 LTS for Machine Learning 3.5.0Aug 19, 2024Aug 19, 2027
  10. 7mo agoDatabricksDatabricks Runtime 13.3 LTS Databricks Runtime 13.3 LTS for Machine Learning 3.4.1Aug 22, 2023Aug 22, 2026
  11. 7mo agoDatabricksDatabricks Runtime 17.3 LTS Databricks Runtime 17.3 LTS for Machine Learning 4.0.0Oct 22, 2025Oct 22, 2028
  12. 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 Databricks and Hatchet?

They serve adjacent needs but don't currently overlap on shipped themes. Hatchet is currently shipping more aggressively (velocity 6.3 vs 5.0), 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 Hatchet?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Hatchet is currently shipping more aggressively (velocity 6.3 vs 5.0), 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 Hatchet?

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