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Comparison · Infra & APIs

Databricks vs Retool

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

Databricks vs Retool: at a glance

FeatureDatabricksRetool
SectorInfra & APIs, AnalyticsInfra & APIs
Velocity score5.06.3
Sparks · 30d00
Top themesdata-platform, spark-4, databricks-runtime, jdk-21internal tools, app builder, workflows, governance
Last editorial update6mo 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 Retool?

Retool gives workflows their own run identity and sells self-hosted through Google Cloud.

Retool's first November week was about running and buying Retool in production. Workflows can now run as a chosen permission group, so scheduled and webhook-triggered runs no longer borrow a person's access. Self-hosted Enterprise can be deployed to GKE and billed through Google Cloud Marketplace, Microsoft SQL integration versions 1.0 and 2.0 were removed, and 4.88 reached the Edge channel. App testing entered public beta on November 3.

Read the full Retool trajectory →

Databricks vs Retool: 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.

R
Retool
INFRA · APIS
6.3

Retool gives workflows their own run identity and sells self-hosted through Google Cloud.

◆ Current state

Retool's first November week was about running and buying Retool in production. Workflows can now run as a chosen permission group, so scheduled and webhook-triggered runs no longer borrow a person's access. Self-hosted Enterprise can be deployed to GKE and billed through Google Cloud Marketplace, Microsoft SQL integration versions 1.0 and 2.0 were removed, and 4.88 reached the Edge channel. App testing entered public beta on November 3.

◆ Where it's heading

After the late-October app builder GA, Retool is filling in governance and operations: testing for generated apps, AI spend controls, service identities for automation and procurement through a cloud marketplace. Older integration versions are being retired on a schedule.

◆ Prediction

Expect more admin and governance controls around workflows and the app builder, plus further marketplace or self-hosted deployment options.

Alternatives to Databricks and Retool

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 Retool.

See all Databricks alternatives → · See all Retool alternatives →

Recent activity from Databricks and Retool

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

  1. 4d agoRetoolService users for workflows
  2. 5d agoRetoolSelf-hosted Retool 4.34 and 4.0 stable updates
  3. 5d agoRetoolMicrosoft SQL integration versions 1.0 and 2.0 removed
  4. 5d agoRetoolRetool 4.88 Edge for self-hosted instances
  5. 6d agoRetoolApp testing
  6. 6d agoRetoolRetool on Google Cloud Marketplace
  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 Retool?

They serve adjacent needs but don't currently overlap on shipped themes. Retool 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 Retool?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Retool 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 Retool?

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