Technology · head to head
Maze 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: Maze maze publishes no prices on its pricing page; every plan routes to contact sales, so pricing is by quote only with no published rate or minimum; 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: Maze covers Prototype testing, Trino covers Federated querying.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Maze 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 Maze
- Prototype testing
- Usability testing
- Card sorting
- Tree testing
- Surveys
- 5-second tests
- A/B testing
- Analytics dashboard
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.
Maze
- User research and testingnot Trino
- AI-powered moderation featuresnot Trino
- Prototype and website testingnot Trino
- User feedback panelsnot Trino
Trino
- Ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline firstnot Maze
- Serving a BI tool a single SQL endpoint over an estate that is actually several separate storage systemsnot Maze
- Querying Iceberg or Delta tables on object storage interactively, as the compute layer of a lakehousenot Maze
- Investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for itnot Maze
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Maze
- Maze publishes no prices on its pricing page; every plan routes to contact sales, so pricing is by quote only with no published rate or minimum
- The AI study builder, AI moderated interviews and moderated interview studies are Enterprise only
- Mobile testing and testing through the Maze mobile app are Enterprise only
- Interview scheduling, card sorting and information architecture testing are Enterprise only
- Role-based access, SSO and compliance controls are Enterprise only
- Panel recruitment is available on all plans but with stated limits, and prototype testing carries limits below Enterprise
- Qualitative analysis of clip recordings, interview transcription and automated theme analysis are Enterprise only
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
Maze
Free- FreeFree
- 1 active project
- Preview link testing
- Basic analytics
- Starter$75/month
- 3 active projects
- Unlimited responses
- Advanced analytics
- Team$150/month
- Unlimited projects
- Team collaboration
- Custom branding
- Enterprise$undefined/month
- Everything in Team
- SSO
- Dedicated CSM
Trino
FreeNo published plan breakdown. See the Trino review.
Which should you pick?
Choose Maze if
- You need prototype testing.
- You want to start without paying.
- You work on Web, Mobile, Api.
- You also want usability testing.
Choose Trino if
- You need federated querying.
- You want to start without paying.
- You also want connector architecture.
Questions people ask
- Is Maze or Trino better?
- Neither clearly leads. Maze 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, Maze or Trino?
- Maze starts at Free and Trino at Free.
- Does Maze or Trino run on more platforms?
- Maze runs on Web, Mobile, Api. Trino runs on Web.
- Can I use Maze for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Maze best used for?
- Maze is most often used for user research and testing, ai-powered moderation features, prototype and website testing, user feedback panels. Of those, user research and testing and ai-powered moderation features are not what Trino is typically brought in for.
- What can Maze do that Trino cannot?
- Maze covers Prototype testing, Usability testing, Card sorting, Tree testing. Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.
Answered from the vendors’ own pages
Maze: Does Maze offer a free trial or freemium tier?
Maze site indicates 'Try Maze for free' option, suggesting free tier or trial availability, but specific terms and limitations not stated on main page.
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.
Maze: Can I request a custom demo if standard plans don't fit my needs?
Yes, Maze offers 'Request a demo' option, indicating willingness to discuss custom requirements and potentially custom pricing arrangements.
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.
Maze: What testing capabilities does Maze include in paid plans?
Maze features AI Moderator, prototype testing, panel recruitment, and website testing capabilities across plans, but specific feature tiers and pricing not disclosed publicly.
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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