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Comparison · Infra & APIs

Casdoor vs Databricks

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

Casdoor vs Databricks: at a glance

FeatureCasdoorDatabricks
SectorInfra & APIsInfra & APIs, Analytics
Velocity score5.05.0
Sparks · 30d00
Top themesidentity, multi-tenancy, access-control, oauthdata-platform, spark-4, databricks-runtime, jdk-21
Last editorial update11h ago3mo ago
WebsiteVisit →Visit →

What is Casdoor?

Casdoor ships a version bump per commit, and the recent run is all tenancy hardening.

Casdoor tags a release on nearly every merge — ten versions between August 4 and August 10, most carrying a single commit. The recent run clusters on two threads: multi-tenant isolation (cross-organization webhook restrictions, organization checks on add APIs, Casbin group rules following user renames) and DingTalk integration repair. Individually each release is small; read together they are a sustained pass over organization boundaries.

Read the full Casdoor trajectory →

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 →

Casdoor vs Databricks: editorial side-by-side

C
Casdoor
INFRA · APIS
5.0

Casdoor ships a version bump per commit, and the recent run is all tenancy hardening.

◆ Current state

Casdoor tags a release on nearly every merge — ten versions between August 4 and August 10, most carrying a single commit. The recent run clusters on two threads: multi-tenant isolation (cross-organization webhook restrictions, organization checks on add APIs, Casbin group rules following user renames) and DingTalk integration repair. Individually each release is small; read together they are a sustained pass over organization boundaries.

◆ Where it's heading

The organization is becoming the unit of configuration. Record retention days, default token format, master-password hashing and LDAP visibility all became per-organization concerns inside a single week. That is the shape of a project hardening for multi-tenant deployment rather than adding end-user features, and the cross-organization webhook restriction in the newest release is the clearest statement of it so far.

◆ Prediction

Expect the per-organization configuration surface to keep growing and more cross-organization access checks on the remaining endpoints, since the last week has moved steadily in that direction. The per-commit release cadence means this will arrive as another ten small versions rather than one milestone.

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.

Alternatives to Casdoor and Databricks

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 Casdoor or Databricks.

See all Casdoor alternatives → · See all Databricks alternatives →

Recent activity from Casdoor and Databricks

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

  1. 1d agoCasdoorCross-org webhooks restricted, org checks added to add APIs
  2. 1d agoCasdoorDingTalk profile title sync and add-form validation timing
  3. 1d agoCasdoorMaster password now hashed; LDAPs hidden on organization add
  4. 1d agoCasdoorDingTalk token error codes parsed as strings
  5. 1d agoCasdoorToken format now configurable per organization
  6. 2d agoCasdoorRecords created on save rather than on Add click
  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 Casdoor and Databricks?

They serve adjacent needs but don't currently overlap on shipped themes. Casdoor and Databricks 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 Casdoor better than Databricks?

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

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

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.