Technology · head to head
Plane vs Trino

Trino
Technology
A distributed SQL engine that queries data where it already lives, across object storage, warehouses and operational databases.
- 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; Trino trino stores nothing and computes no statistics of its own, so the plan it produces is only as good as the partitioning, file sizes and table statistics on the source; a Hive table of thousands of small files or a lake with no stats produces a slow query the engine cannot improve.
- They diverge on capability: Plane covers Issue tracking, Trino covers Federated querying.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Plane and Trino actually diverge.
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 Plane
- Issue tracking
- Cycles (Sprints)
- Modules
- Views & layouts
- Pages (Docs)
- Analytics
- API access
- Webhooks
Only in Trino
- Federated querying
- Connector architecture
- Predicate and aggregation pushdown
- Massively parallel execution
- Fault-tolerant execution
- Resource groups
- Iceberg and Delta table support
- Standard client protocols
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 Trino
- Documentation and knowledge management via workspace wiki tied to project worknot Trino
- Sprint planning and issue triagenot Trino
- Cross-functional collaboration with analytics and dashboardsnot Trino
- Migration target from Jira, Linear, Monday, ClickUp, or Asananot Trino
Trino
- Ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline firstnot Plane
- Serving a BI tool a single SQL endpoint over an estate that is actually several separate storage systemsnot Plane
- Querying Iceberg or Delta tables on object storage interactively, as the compute layer of a lakehousenot Plane
- Investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for itnot 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
Trino
- Trino stores nothing and computes no statistics of its own, so the plan it produces is only as good as the partitioning, file sizes and table statistics on the source; a Hive table of thousands of small files or a lake with no stats produces a slow query the engine cannot improve.
- Federated queries pull data out of the systems they touch, so a join between a lake table and a production Postgres can put a full table scan onto an OLTP database that other applications depend on, and the person who wrote the query will not see the incident it causes.
- Releases come roughly every one to two weeks with no community long-term support line, and deprecations arrive quickly, so you either dedicate someone to keeping current or you buy Starburst Enterprise for a supported long-term version.
- It is memory-based and disk spilling was deprecated in favour of fault-tolerant execution, so a query exceeding cluster memory fails outright rather than degrading; enabling fault-tolerant execution requires an external exchange store on object storage and makes queries measurably slower.
- It is a query engine and not a warehouse: there is no built-in job scheduling, no incremental materialised view maintenance and no transformation framework, so producing curated tables still needs dbt or an equivalent layer that somebody has to own.
- The 2020 fork split the ecosystem, so documentation, connectors, Stack Overflow answers and vendor material written before then describe PrestoDB, which is now a different project with different behaviour, and following the wrong one wastes real time.
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
Trino
FreeNo published plan breakdown. See the Trino 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).
Choose Trino if
- You need federated querying.
- You want to start without paying.
- You also want connector architecture.
Questions people ask
- Is Plane or Trino better?
- Neither clearly leads. Plane starts at Free and Trino at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Plane or Trino?
- Plane starts at Free and Trino at Free.
- Does Plane or Trino run on more platforms?
- Plane runs on Web, iOS, Android, macOS, Windows. Trino 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 Trino is typically brought in for.
- What can Plane do that Trino cannot?
- Plane covers Issue tracking, Cycles (Sprints), Modules, Views & layouts. Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.
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.
SourceTrino: What is the difference between Trino and Presto?
They share an origin. The original creators left Meta and renamed their fork from PrestoSQL to Trino in December 2020; PrestoDB continues separately under the Linux Foundation. They have diverged in features, connectors and SQL behaviour, so material written for one may not apply to the other.
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.
SourceTrino: Does Trino replace my data warehouse?
Not on its own. It is compute without storage, scheduling or transformation. Paired with Iceberg or Delta on object storage and something like dbt for modelling it can serve as a lakehouse; used alone it is a query layer over what you already have.
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.
SourceTrino: Why is my federated query slow?
Usually because a connector could not push a filter or aggregation down, so Trino is pulling whole tables across the network to join them itself. The fix is usually better source-side partitioning or statistics, or ingesting that source rather than federating it.
Trino: What happens when a query runs out of memory?
It fails. Disk spilling was deprecated in favour of fault-tolerant execution, which checkpoints to an external exchange store such as S3 and lets long queries survive memory pressure and worker loss, at the cost of noticeably slower execution.
Trino: Is there commercial support?
Yes, from Starburst, which offers Starburst Enterprise with long-term supported releases and Starburst Galaxy as a managed service. The open source project itself has no long-term support line.
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- Trino vs Apache Hadoop
- Trino vs Safari
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