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Technology · head to head

Plane vs StarRocks

Plane logo

Plane

Technology

Open-source project management tool

From
Free
Rated
-
Full reviewWebsite
StarRocks logo

StarRocks

Databases

Apache 2.0 MPP analytical database built for joins on open table formats

From
Free
Rated
-
Full reviewWebsite

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; StarRocks self-hosting is a genuine operations job: frontend and backend node roles, tablet distribution, compaction and materialised view refresh all need an owner, and there is no small-team-friendly single-binary mode.
  • They diverge on capability: Plane covers Issue tracking, StarRocks covers Cost-based optimiser.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Plane and StarRocks actually diverge.

Attributes where Plane and StarRocks differ
AttributePlaneStarRocks
Pricing modelfreemiumOpen source, no licence fee
PlatformsWeb, iOS, Android, macOS, WindowsLinux, Docker, Kubernetes
CategoryTechnologyDatabases
Founded2022Unknown

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 StarRocks

  • Cost-based optimiser
  • Lakehouse query engine
  • Primary key tables
  • Materialised views
  • Shared-data mode
  • MySQL wire protocol

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 StarRocks
  • Documentation and knowledge management via workspace wiki tied to project worknot StarRocks
  • Sprint planning and issue triagenot StarRocks
  • Cross-functional collaboration with analytics and dashboardsnot StarRocks
  • Migration target from Jira, Linear, Monday, ClickUp, or Asananot StarRocks

StarRocks

  • Customer-facing analytics where queries join a fact table to several dimensions and must return in well under a secondnot Plane
  • Querying an Iceberg lakehouse directly without copying data into a proprietary warehouse formatnot Plane
  • Replacing a ClickHouse deployment that has become unmanageable because every new question needs another denormalised tablenot Plane
  • Real-time analytics fed by change data capture where rows must be updated in place rather than appendednot Plane

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

StarRocks

  • Self-hosting is a genuine operations job: frontend and backend node roles, tablet distribution, compaction and materialised view refresh all need an owner, and there is no small-team-friendly single-binary mode.
  • CelerData is by far the dominant contributor despite Linux Foundation stewardship, so the practical roadmap risk is the same as any single-vendor open source project.
  • It inherits a MySQL-flavoured SQL dialect from its Doris ancestry, so queries written for PostgreSQL, Snowflake or Trino need rewriting rather than porting.
  • Ecosystem support is thinner than ClickHouse or Trino: fewer client libraries, fewer managed hosting options and a much smaller pool of engineers who have run it in production.
  • Memory pressure under concurrent large joins is a common production failure, and the tuning knobs for query memory limits are unforgiving compared with a cloud warehouse that just scales.

Pricing, plan by plan

Plane

Free
  • FreeFree
    • 500 AI credits per seat
    • Max 12 users
    • Unlimited projects
  • Pro$6/seat per month
    • 1,000 AI credits per seat
    • Unlimited users
    • Custom work item types
  • Business$13/seat per month
    • 2,000 AI credits per seat
    • Unlimited users
    • Project templates, recurring work items
  • Enterprise Grid$null/mo
    • Flexible AI credit allocation
    • Private deployments
    • Granular access control

StarRocks

Free
  • StarRocksFree
    • Apache 2.0 licence
    • Linux Foundation governance
    • No usage or node limits
  • CelerData Cloud$undefined/year
    • Managed StarRocks from the primary contributor
    • BYOC and serverless deployment options
    • Enterprise support and SLAs

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).
Plane review

Choose StarRocks if

  • You need cost-based optimiser.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes.
  • You also want lakehouse query engine.
StarRocks review

Questions people ask

Is Plane or StarRocks better?
Neither clearly leads. Plane starts at Free and StarRocks at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Plane or StarRocks?
Plane starts at Free and StarRocks at Free.
Does Plane or StarRocks run on more platforms?
Plane runs on Web, iOS, Android, macOS, Windows. StarRocks runs on Linux, Docker, Kubernetes.
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 StarRocks is typically brought in for.
What can Plane do that StarRocks cannot?
Plane covers Issue tracking, Cycles (Sprints), Modules, Views & layouts. StarRocks covers Cost-based optimiser, Lakehouse query engine, Primary key tables, Materialised views.

Answered from the vendors’ own pages

Plane: Does Plane offer a free plan?

Yes, Plane's free tier includes 500 AI credits per seat, support for up to 12 users, and access to projects, work items, cycles, modules, layouts, views, estimates, and pages.

Source
StarRocks: Is StarRocks open source?

Yes, Apache 2.0, governed under the Linux Foundation since 2023.

Plane: How much does Plane Pro cost?

Plane Pro costs $6/seat per month and saves 25% when billed annually. It includes 1,000 AI credits per seat, unlimited users, and access to custom work item types, wiki, time tracking, and integrations.

Source
StarRocks: How does it differ from ClickHouse?

StarRocks is built for joins across a star schema with a cost-based optimiser; ClickHouse is fastest on denormalised single tables.

Plane: What is the difference between Plane's paid tiers?

Pro ($6/seat/month) includes 1,000 AI credits and workspace wiki. Business ($13/seat/month) adds 2,000 AI credits, project templates, and recurring work items. Enterprise Grid offers custom pricing with multiple workflows and LDAP support.

Source
StarRocks: Who maintains it?

CelerData, formerly StarRocks Inc, is the dominant contributor and sells the managed service.

StarRocks: Can it query Iceberg tables directly?

Yes, along with Hudi, Delta Lake, Hive and Paimon, with a local cache for repeat queries.

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