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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 score5.05.0
Sparks · 30d00
Top themesdata-platform, spark-4, databricks-runtime, jdk-21internal-tools, ai-agents, access-policies, deprecation
Last editorial update3mo ago1h 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 is retiring standalone Assist while folding the same capability into the app builder.

Releases arrive several times a week and split into two lines. One extends the app-building agent — plan mode, managed agent context, multiple threads per branch — and the other builds out governance: access policies on PostgreSQL resources down to row level, BYOK AI token management, an admin onboarding hub. Against that, Assist is being removed outright on September 30, 2026.

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
5.0

Retool is retiring standalone Assist while folding the same capability into the app builder.

◆ Current state

Releases arrive several times a week and split into two lines. One extends the app-building agent — plan mode, managed agent context, multiple threads per branch — and the other builds out governance: access policies on PostgreSQL resources down to row level, BYOK AI token management, an admin onboarding hub. Against that, Assist is being removed outright on September 30, 2026.

◆ Where it's heading

The agent is being consolidated into the app builder rather than offered as a separate assistant, and Assist's removal is the clearest statement of that. Alongside it, the controls an administrator needs before letting an agent touch production data are arriving in the same cadence — resource-level policies, token management, permission migrations. Retool is treating agent capability and agent governance as one shipping problem.

◆ Prediction

Access policies should extend past PostgreSQL to other resource types as they exit beta, and the app-building agent will likely gain review or approval steps of its own.

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. 1d agoRetoolUpcoming conclusion of public beta for Assist
  2. 2d agoRetoolPlan mode for app building
  3. 2d agoRetoolAccess policies for PostgreSQL resources in public beta
  4. 13d agoRetoolRetool 4.35 Edge for self-hosted instances
  5. 15d agoRetoolManage app building agent context
  6. 19d agoRetoolAdmin onboarding hub now available in the Settings Overview page
  7. 3mo agoDatabricksDatabricks Runtime 18.2 (released May 4, 2026)
  8. 4mo agoDatabricksDBR 18.0 documentation refresh
  9. 4mo agoDatabricksDatabricks Runtime 15.4 LTS Databricks Runtime 15.4 LTS for Machine Learning 3.5.0Aug 19, 2024Aug 19, 2027
  10. 4mo agoDatabricksDatabricks Runtime 13.3 LTS Databricks Runtime 13.3 LTS for Machine Learning 3.4.1Aug 22, 2023Aug 22, 2026
  11. 4mo agoDatabricksDatabricks Runtime 17.3 LTS Databricks Runtime 17.3 LTS for Machine Learning 4.0.0Oct 22, 2025Oct 22, 2028
  12. 4mo 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. Databricks and Retool are shipping at a similar cadence (velocity 5.0 vs 5.0, both within Sparkpulse's "active" band). 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. Databricks and Retool are shipping at a similar cadence (velocity 5.0 vs 5.0, both within Sparkpulse's "active" band). 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.