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Comparison · Infra & APIs
Databricks vs Knock
A side-by-side editorial comparison of Databricks and Knock — release velocity, themes, recent moves, and the top alternatives to consider.
Databricks vs Knock: at a glance
| Feature | Databricks | Knock |
|---|---|---|
| Sector | Infra & APIs, Analytics | Infra & APIs |
| Velocity score | 5.0 | 6.3 |
| Sparks · 30d | 0 | 1 |
| Top themes | data-platform, spark-4, databricks-runtime, jdk-21 | notifications, developer-infrastructure, rbac, workflow-automation |
| Last editorial update | 3mo ago | 15h ago |
| Website | 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.
What is Knock?
Knock is hardening for enterprise buyers while its agent takes over the analysis work.
Knock ships weekly, in small, legible increments across three lanes: account governance (custom roles, passkeys), workflow primitives (wait-for-event, branch rebasing), and data ingress (Amplitude, Clay). The newest entry adds granular custom roles, which closes the last obvious gap in account-level access control. Alongside that, the in-product agent gained analytics, letting teams interrogate delivery performance without building reports.
Databricks vs Knock: 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.
Knock
6.3INFRA · APIS
Knock is hardening for enterprise buyers while its agent takes over the analysis work.
◆ Current state
Knock ships weekly, in small, legible increments across three lanes: account governance (custom roles, passkeys), workflow primitives (wait-for-event, branch rebasing), and data ingress (Amplitude, Clay). The newest entry adds granular custom roles, which closes the last obvious gap in account-level access control. Alongside that, the in-product agent gained analytics, letting teams interrogate delivery performance without building reports.
◆ Where it's heading
Two arcs run in parallel. The infrastructure lane is buying enterprise credibility — roles, passkeys, audit-grade permissions — the checklist items that decide procurement rather than daily use. The data lane keeps widening what can trigger a workflow: product analytics from Amplitude, enriched rows from Clay, internal Slack channels as a destination. Together they push Knock from a notification API toward the messaging control plane, with the agent as the layer that explains what the plane did.
◆ Prediction
Expect the roles work to continue into audit logs or scoped API keys, since granular permissions without an activity trail is an incomplete enterprise story. More data sources are likely on the same cadence, with the CRM and warehouse categories the obvious remaining gaps.
Alternatives to Databricks and Knock
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 Knock.
DNSControl
DNSControl v5 is feature-frozen with a ship date, and rc9 is pure provider cleanup
Casdoor
Casdoor is spending its release cadence moving auth checks from the client to the server
ESPHome
ESPHome ships on a calendar, and the August beta train is now five builds deep
Strimzi
Strimzi's 1.2.0 candidate closes with a logging fix and nothing else
Prowler
Prowler's assistant decides what to do with findings; the patches keep the scanner honest
See all Databricks alternatives → · See all Knock alternatives →
Recent activity from Databricks and Knock
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoKnockCustom roles and permissions
- 6d agoKnockPower internal Slack alerts
- 7d agoKnockCategory + tag management
- 13d agoKnockAmplitude data source
- 20d agoKnockAnalytics in the Knock agent ⚡
- 21d agoKnockWait for event function
- 3mo agoDatabricksDatabricks Runtime 18.2 (released May 4, 2026)
- 4mo agoDatabricksDBR 18.0 documentation refresh
- 4mo agoDatabricksDatabricks Runtime 15.4 LTS Databricks Runtime 15.4 LTS for Machine Learning 3.5.0Aug 19, 2024Aug 19, 2027
- 4mo agoDatabricksDatabricks Runtime 13.3 LTS Databricks Runtime 13.3 LTS for Machine Learning 3.4.1Aug 22, 2023Aug 22, 2026
- 4mo agoDatabricksDatabricks Runtime 17.3 LTS Databricks Runtime 17.3 LTS for Machine Learning 4.0.0Oct 22, 2025Oct 22, 2028
- 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 Knock?
They serve adjacent needs but don't currently overlap on shipped themes. Knock is currently shipping more aggressively (velocity 6.3 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 Knock?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Knock is currently shipping more aggressively (velocity 6.3 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 Knock?
Top Knock alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Knock alternatives" section above for the current picks, or visit /alternatives/knock for the full list with editorial commentary on each.