Drizzle ORM
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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
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.
What is Retool?
Retool pushes self-hosted 4.0 to stable, laying RBAC and security groundwork for enterprise.
Retool's self-hosted line dominates this window: version 4.0 has reached the stable channel, carrying an automatic permissions-database migration that prepares the platform for Role-Based Access Control, with an upgrade FAQ to guide existing deployments. Around it, admins gain new controls — customizable Content Security Policy for apps — and a way to buy additional AI credit packs from organization settings. The cadence is dense and operational, centered on shipping and de-risking the 4.0 upgrade for self-hosters.
Databricks vs Retool: editorial side-by-side
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.
Retool
10.0INFRA · APIS
Retool pushes self-hosted 4.0 to stable, laying RBAC and security groundwork for enterprise.
◆ Current state
Retool's self-hosted line dominates this window: version 4.0 has reached the stable channel, carrying an automatic permissions-database migration that prepares the platform for Role-Based Access Control, with an upgrade FAQ to guide existing deployments. Around it, admins gain new controls — customizable Content Security Policy for apps — and a way to buy additional AI credit packs from organization settings. The cadence is dense and operational, centered on shipping and de-risking the 4.0 upgrade for self-hosters.
◆ Where it's heading
Retool is advancing its self-hosted enterprise story — RBAC groundwork, CSP customization, and a managed upgrade path point to a focus on admin control and security posture for regulated, self-hosted deployments. Separately, AI usage is becoming a metered, separately-purchased resource. The platform is maturing self-hosted governance while turning AI into a billable line item.
◆ Prediction
Expect Role-Based Access Control to ship as a full feature on the back of the 4.0 permissions migration, plus continued 4.0 hardening — stable patches and more admin security controls.
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.
Warp
Warp drops the terminal framing to bet on cloud software factories and agent orchestration
Unleash
Unleash leans hard into AI-agent governance and self-hosting as its crawled feed fills with thought-leadership.
GitHub
GitHub spends the week hardening enterprise governance and supply-chain security.
Resend
Resend keeps widening from a raw email API into agent-native tooling and audience management.
Daytona
Very high-cadence sandbox infra building the primitives agents need to run code
See all Databricks alternatives → · See all Retool alternatives →
Recent activity from Databricks and Retool
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3d agoRetoolSelf-hosted Retool 4.0 and 3.334 stable updates
- 3d agoRetoolCustomize the Content Security Policy for apps
- 10d agoRetoolSelf-hosted Retool 4.0 stable update ⚡
- 10d agoRetoolPurchase additional AI credits
- 16d agoRetoolSelf-hosted Retool 4.0 upgrade FAQ
- 16d agoRetoolPermissions database migration in self-hosted Retool 4.0
- 1mo agoDatabricksDatabricks Runtime 18.2 (released May 4, 2026)
- 2mo agoDatabricksDBR 18.0 documentation refresh
- 2mo agoDatabricksDatabricks Runtime 15.4 LTS Databricks Runtime 15.4 LTS for Machine Learning 3.5.0Aug 19, 2024Aug 19, 2027
- 2mo agoDatabricksDatabricks Runtime 13.3 LTS Databricks Runtime 13.3 LTS for Machine Learning 3.4.1Aug 22, 2023Aug 22, 2026
- 2mo agoDatabricksDatabricks Runtime 17.3 LTS Databricks Runtime 17.3 LTS for Machine Learning 4.0.0Oct 22, 2025Oct 22, 2028
- 2mo 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 10.0 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 Databricks better than Retool?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Retool is currently shipping more aggressively (velocity 10.0 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 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.