Software · head to head
Plane vs Apache Spark
A
Apache Spark
Software
A multi-language engine for data engineering, data science, and machine learning
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Plane self-hosted Community edition requires managing your own Docker/Kubernetes infra plus your own PostgreSQL, Redis, and S3-compatible/GCS/MinIO storage; no single-binary install; 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 Plane and Apache Spark actually diverge.
| Attribute | Plane | Apache Spark |
|---|---|---|
| Pricing model | Unknown | open-source |
| Platforms | Web, iOS, Android, macOS, Windows | Web |
| Founded | 2022 | Unknown |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).
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 Plane
- Issue tracking
- Cycles (Sprints)
- Modules
- Views & layouts
- Pages (Docs)
- Analytics
- API access
- Webhooks
Only in Apache Spark
Nothing recorded that Plane does not also cover.
What people use each for
The jobs each tool is most often brought in to do.
Plane
- Project and task management with cycles, modules, epics, and initiativesnot Apache Spark
- Documentation and knowledge management via workspace wiki tied to project worknot Apache Spark
- Sprint planning and issue triagenot Apache Spark
- Cross-functional collaboration with analytics and dashboardsnot Apache Spark
- Migration target from Jira, Linear, Monday, ClickUp, or Asananot 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.
Plane
- Self-hosted Community edition requires managing your own Docker/Kubernetes infra plus your own PostgreSQL, Redis, and S3-compatible/GCS/MinIO storage; no single-binary install
- Cloud Free tier caps at 12 users and 500 AI credits per seat per month
- Substantial feature gating by tier: custom work item types, workspace wiki, time tracking, dashboards, initiatives, teamspaces, and integrations require Pro or above; LDAP, granular access control, and multi-workflow approvals require Enterprise Grid
- Guest-to-paid-member ratio capped at 1:5 on the Pro plan
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
Plane
Free- FreeFree
- Up to 12 users
- 500 AI credits/seat
- Cycles, modules
- Pro$6/month
- 1,000 AI credits/seat
- Custom work item types
- Wiki
- Business$13/month
- 2,000 AI credits/seat
- Project templates
- Recurring items
- Enterprise Grid$undefined/month
- Flexible AI credits
- Private/managed deployment
- Granular access control
Apache Spark
FreeNo published plan breakdown. See the Apache Spark review.
Which should you pick?
Choose Plane if
- You need issue tracking.
- You want to start without paying.
- You work on Web, iOS, Android, macOS, Windows.
- You also want cycles (sprints).
Questions people ask
- Is Plane or Apache Spark better?
- Neither clearly leads. Plane 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, Plane or Apache Spark?
- Plane starts at Free and Apache Spark at Free.
- Does Plane or Apache Spark run on more platforms?
- Plane runs on Web, iOS, Android, macOS, Windows. Apache Spark runs on Web.
- Can I use Plane for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Plane best used for?
- Plane is most often used for project and task management with cycles, modules, epics, and initiatives, documentation and knowledge management via workspace wiki tied to project work, sprint planning and issue triage, cross-functional collaboration with analytics and dashboards. Of those, project and task management with cycles, modules, epics, and initiatives and documentation and knowledge management via workspace wiki tied to project work are not what Apache Spark is typically brought in for.
- What can Plane do that Apache Spark cannot?
- Plane covers Issue tracking, Cycles (Sprints), Modules, Views & layouts.