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Comparison · Infra & APIs

Databricks vs Jackett

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

Databricks vs Jackett: at a glance

FeatureDatabricksJackett
SectorInfra & APIs, AnalyticsInfra & APIs
Velocity score5.05.0
Sparks · 30d00
Top themesdata-platform, spark-4, databricks-runtime, jdk-21torrent indexers, open source, media automation, maintenance
Last editorial update5mo ago1d 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 Jackett?

Jackett ships a daily build to keep hundreds of torrent indexers working as sites move and close.

Jackett is an open-source proxy that turns hundreds of torrent tracker sites into a single Torznab API for media automation tools. It ships an auto-generated release roughly every day, and nearly every one is indexer upkeep: new domains, category mappings, selector fixes after site redesigns, and removing dead trackers.

Read the full Jackett trajectory →

Databricks vs Jackett: 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.

J
Jackett
INFRA · APIS
5.0

Jackett ships a daily build to keep hundreds of torrent indexers working as sites move and close.

◆ Current state

Jackett is an open-source proxy that turns hundreds of torrent tracker sites into a single Torznab API for media automation tools. It ships an auto-generated release roughly every day, and nearly every one is indexer upkeep: new domains, category mappings, selector fixes after site redesigns, and removing dead trackers.

◆ Where it's heading

The work is entirely maintenance. Its value depends on keeping up with a tracker ecosystem where sites change domains and layouts weekly. Where possible, the project is moving definitions to sturdier integrations, such as switching world-of-tomorrow to its Torznab API and retiring trackers that moved to direct downloads.

◆ Prediction

Expect the daily cadence to continue, with more trackers moved to API-based definitions and more dead sites removed. Core changes stay rare.

Alternatives to Databricks and Jackett

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 Jackett.

See all Databricks alternatives → · See all Jackett alternatives →

Recent activity from Databricks and Jackett

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

  1. 1d agoJackettJackett adds bigbbs, flags magnetz as pay-to-download
  2. 2d agoJackettUATorrent multi-category search disabled
  3. 2d agoJackettJackett adds UATorrent and Pornorip, bumps three domains
  4. 3d agoJackettJackett drops ptying and bluebird, bumps core packages
  5. 4d agoJackettJackett adds binarybay, renames tocashare to sapibr
  6. 5d agoJackettJackett updates thebrothers categories and v3x engine tag
  7. 5mo agoDatabricksDatabricks Runtime 18.2 (released May 4, 2026)
  8. 6mo agoDatabricksDBR 18.0 documentation refresh
  9. 6mo agoDatabricksDatabricks Runtime 15.4 LTS Databricks Runtime 15.4 LTS for Machine Learning 3.5.0Aug 19, 2024Aug 19, 2027
  10. 6mo agoDatabricksDatabricks Runtime 13.3 LTS Databricks Runtime 13.3 LTS for Machine Learning 3.4.1Aug 22, 2023Aug 22, 2026
  11. 6mo agoDatabricksDatabricks Runtime 17.3 LTS Databricks Runtime 17.3 LTS for Machine Learning 4.0.0Oct 22, 2025Oct 22, 2028
  12. 6mo 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 Jackett?

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

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

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