Technology · head to head
ClickUp 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: ClickUp the free plan is capped at 60MB of storage, 5 spaces, 1 form and 3 whiteboards, so the limits are structural rather than just a seat count; 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: ClickUp covers Multiple view types, Trino covers Federated querying.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which ClickUp 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 ClickUp
- Multiple view types
- Custom fields
- Automation
- Time tracking
- Goal tracking
- Document collaboration
- Whiteboards
- Mind maps
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.
ClickUp
- Project managementnot Trino
- Software developmentnot Trino
- Marketing campaignsnot Trino
- Product roadmapsnot Trino
- Client managementnot Trino
Trino
- Ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline firstnot ClickUp
- Serving a BI tool a single SQL endpoint over an estate that is actually several separate storage systemsnot ClickUp
- Querying Iceberg or Delta tables on object storage interactively, as the compute layer of a lakehousenot ClickUp
- Investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for itnot ClickUp
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
ClickUp
- The free plan is capped at 60MB of storage, 5 spaces, 1 form and 3 whiteboards, so the limits are structural rather than just a seat count
- Gantt charts, time tracking and goals require Unlimited at $7 per user per month billed yearly
- Automations are rationed by tier, at 5,000 a month on Business and 250,000 on Enterprise
- SAML SSO, custom roles and HIPAA compliance are Enterprise only
- AI is charged separately, at $9 per user per month for Brain and $28 for Everything AI
- Monthly billing is substantially dearer, at $10 and $19 against the yearly rates
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
ClickUp
Free- FreeFree
- Unlimited tasks
- 60 MB storage
- Collaborative docs
- Unlimited$7/user/month
- Unlimited storage
- All views
- Time tracking
- Business$12/user/month
- Sprint reporting
- Private docs
- All Unlimited features
- Business Plus$undefined/custom
- Advanced features
Trino
FreeNo published plan breakdown. See the Trino review.
Which should you pick?
Choose ClickUp if
- You need multiple view types.
- You want to start without paying.
- You work on Web, iOS, Android, macOS, Windows.
- You also want custom fields.
Choose Trino if
- You need federated querying.
- You want to start without paying.
- You also want connector architecture.
Questions people ask
- Is ClickUp or Trino better?
- Neither clearly leads. ClickUp 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, ClickUp or Trino?
- ClickUp starts at Free and Trino at Free.
- Does ClickUp or Trino run on more platforms?
- ClickUp runs on Web, iOS, Android, macOS, Windows. Trino runs on Web.
- Can I use ClickUp for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is ClickUp best used for?
- ClickUp is most often used for project management, software development, marketing campaigns, product roadmaps. Of those, project management and software development are not what Trino is typically brought in for.
- What can ClickUp do that Trino cannot?
- ClickUp covers Multiple view types, Custom fields, Automation, Time tracking. Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.
Answered from the vendors’ own pages
ClickUp: How many views does ClickUp support?
ClickUp includes List, Table, Board, Calendar, Gantt, and Inbox views, plus Whiteboards for collaboration and multiple specialized views for different workflows.
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.
ClickUp: What is ClickUp Brain?
ClickUp Brain is the AI feature providing workspace Q&A, task summaries, and AI-powered automation available as an add-on at $9 or $28/user/month depending on usage.
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.
ClickUp: How long does it take to set up ClickUp?
Initial setup typically takes 2-4 weeks depending on team size and complexity needs, which is longer than Monday.com (1-2 days) but necessary for ClickUp's flexibility.
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.
ClickUp: Does ClickUp have built-in time tracking?
Yes, time tracking is included in the first paid plan (Unlimited) at $7/user/month, allowing teams to track project hours without additional tools.
SourceTrino: 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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