GravityKit
GravityKit folds every GravityView extension into one Pro plugin.
A side-by-side editorial comparison of Clair and Databricks — release velocity, themes, recent moves, and the top alternatives to consider.
Clair 4.10 RC can read SBOMs to match Java vulnerabilities.
Clair cut its first 4.10.0 release candidate on November 13, eleven months after 4.9.0. Its Java indexers can now read CycloneDX SBOM files and treat them as the source of truth, and Red Hat's VEX data now covers Maven advisories, so Java packages in Red Hat images can be matched. It also reduces memory use when many packages share a source package.
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.
Clair cut its first 4.10.0 release candidate on November 13, eleven months after 4.9.0. Its Java indexers can now read CycloneDX SBOM files and treat them as the source of truth, and Red Hat's VEX data now covers Maven advisories, so Java packages in Red Hat images can be matched. It also reduces memory use when many packages share a source package.
Since 4.8 Clair has moved from Red Hat's older OVAL data to VEX, and each release follows Red Hat's security data more closely. 4.10 adds SBOMs as an input, so Clair can match what an image's own manifest declares, not only what it finds on disk.
More 4.10 release candidates and then a final are likely; the long gap between releases suggests that could take weeks.
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.
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.
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.
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 Clair or Databricks.
GravityKit folds every GravityView extension into one Pro plugin.
Payload's v4 beta.9 keeps every past image crop and raises the Node floor again.
Nautobot 3.3 alpha 2 adds test helpers and a cable location filter after 3.2.9's token-leak fix.
Shuffle tags builds almost daily, but the notes are empty.
KrakenD's community edition is shipping only dependency bumps.
Velociraptor's recent releases are mostly about patching CVEs.
See all Clair alternatives → · See all Databricks alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Databricks is currently shipping more aggressively (velocity 5.0 vs 2.5), 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Databricks is currently shipping more aggressively (velocity 5.0 vs 2.5), 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.
Top Clair alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Clair alternatives" section above for the current picks, or visit /alternatives/clair for the full list with editorial commentary on each.
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.