Technology · head to head
Linear vs Apache Spark
A
Apache Spark
Technology
A multi-language engine for data engineering, data science, and machine learning
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Linear no task-level Gantt chart; Timeline view is available for projects only, not individual issues; Apache Spark licensed under Apache License 2.0 per spark.apache.org; as open source software it has no paid tier or vendor price to compare
Where they differ
Only the attributes on which Linear and Apache Spark actually diverge.
| Attribute | Linear | Apache Spark |
|---|---|---|
| Pricing model | Unknown | open-source |
| Platforms | Web, iOS, Android, macOS, Windows | Web |
| Founded | 2019 | Unknown |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Technology).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Linear
- Fast, real-time sync
- Keyboard-first design
- Automatic issue tracking
- Cycles (sprints)
- Projects & milestones
- Custom workflows
- API & webhooks
- Built-in roadmaps
Only in Apache Spark
Nothing recorded that Linear does not also cover.
What people use each for
The jobs each tool is most often brought in to do.
Linear
- Issue management and triage, converting customer feedback into prioritized issuesnot Apache Spark
- Strategic planning via initiatives, roadmaps, and PRDs from idea to launchnot Apache Spark
- Agent-assisted development, with agents drafting docs and submitting pull requestsnot Apache Spark
- Code review with structural diffs for human and agent outputnot Apache Spark
- Progress monitoring via dashboards tracking cycle times and project healthnot Apache Spark
Apache Spark
No use cases recorded yet. See the Apache Spark review.
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Linear
- No task-level Gantt chart; Timeline view is available for projects only, not individual issues
- No native time-tracking or hour-logging feature
- No native Linux desktop app; official FAQ states it 'may come in the future but it's not on the roadmap for now'
- Free tier capped at 250 issues and 2 teams
Apache Spark
- Licensed under Apache License 2.0 per spark.apache.org; as open source software it has no paid tier or vendor price to compare
- Installation on a laptop requires pip install pyspark or a Docker image per spark.apache.org; there is no hosted single-click deployment offered by the Apache project itself
Pricing, plan by plan
Linear
Free- FreeFree
- Unlimited members
- 2 teams
- 250 issues
- Basic$10/month
- 5 teams
- Unlimited issues
- Unlimited file uploads
- Business$16/month
- Unlimited teams
- Private teams/guests
- Triage Intelligence
- Enterprise$undefined/month
- SAML/SCIM
- Granular admin controls
- Invoice/PO billing
Apache Spark
FreeNo published plan breakdown. See the Apache Spark review.
Which should you pick?
Choose Linear if
- You need fast, real-time sync.
- You want to start without paying.
- You work on Web, iOS, Android, macOS, Windows.
- You also want keyboard-first design.
Questions people ask
- Is Linear or Apache Spark better?
- Neither clearly leads. Linear starts at Free and Apache Spark at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Linear or Apache Spark?
- Linear starts at Free and Apache Spark at Free.
- Does Linear or Apache Spark run on more platforms?
- Linear runs on Web, iOS, Android, macOS, Windows. Apache Spark runs on Web.
- Can I use Linear for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Linear best used for?
- Linear is most often used for issue management and triage, converting customer feedback into prioritized issues, strategic planning via initiatives, roadmaps, and prds from idea to launch, agent-assisted development, with agents drafting docs and submitting pull requests, code review with structural diffs for human and agent output. Of those, issue management and triage, converting customer feedback into prioritized issues and strategic planning via initiatives, roadmaps, and prds from idea to launch are not what Apache Spark is typically brought in for.
- What can Linear do that Apache Spark cannot?
- Linear covers Fast, real-time sync, Keyboard-first design, Automatic issue tracking, Cycles (sprints).