Technology · head to head
Trino vs Userpilot

Trino
Technology
A distributed SQL engine that queries data where it already lives, across object storage, warehouses and operational databases.
- From
- Free
- Rated
- -

Userpilot
Technology
Product analytics and in-app onboarding platform.
- From
- Free
- Rated
- -
The short version
- Each has a real cost: 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.; Userpilot starter tier limited to 2,000 monthly active users; even small-to-medium products may require Growth tier
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Trino and Userpilot 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 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
Only in Userpilot
Nothing recorded that Trino does not also cover.
What people use each for
The jobs each tool is most often brought in to do.
Trino
- Ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline firstnot Userpilot
- Serving a BI tool a single SQL endpoint over an estate that is actually several separate storage systemsnot Userpilot
- Querying Iceberg or Delta tables on object storage interactively, as the compute layer of a lakehousenot Userpilot
- Investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for itnot Userpilot
Userpilot
- SaaS companies optimising user onboarding and activationnot Trino
- Product teams collecting user feedback and identifying churn drivers via session replaynot Trino
- Customer success teams using in-app guides and contextual helpnot Trino
- Growth teams orchestrating multi-channel campaigns across email and in-appnot Trino
- Product managers measuring adoption and engagement across user cohortsnot Trino
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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.
Userpilot
- Starter tier limited to 2,000 monthly active users; even small-to-medium products may require Growth tier
- Large price jump from Starter ($299/mo) to Growth ($849/mo), nearly 3x increase
- Growth tier scales to 100,000 MAU but does not publish pricing for higher volumes, requiring Enterprise negotiation
- Session replay and mobile engagement are optional add-ons in Growth tier, not included in base pricing
- Enterprise pricing not published; custom negotiations required for large-scale deployments
Pricing, plan by plan
Trino
FreeNo published plan breakdown. See the Trino review.
Userpilot
Free- Starter$299/month
- Up to 2,000 monthly active users
- In-app engagement
- User segmentation
- Growth$849/month (marked 'Most Popular')
- 2,000 to 100,000 monthly active users
- All Starter features
- Advanced product analytics
- Enterprise$undefined/variable
- Custom monthly active user levels
- All Growth features
- Premium integrations
Which should you pick?
Choose Trino if
- You need federated querying.
- You want to start without paying.
- You also want connector architecture.
Choose Userpilot if
- You want to start without paying.
- You work on Web, iOS, Android, API.
Questions people ask
- Is Trino or Userpilot better?
- Neither clearly leads. Trino starts at Free and Userpilot at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Trino or Userpilot?
- Trino starts at Free and Userpilot at Free.
- Does Trino or Userpilot run on more platforms?
- Trino runs on Web. Userpilot runs on Web, iOS, Android, API.
- Can I use Trino for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Trino best used for?
- Trino is most often used for ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline first, serving a bi tool a single sql endpoint over an estate that is actually several separate storage systems, querying iceberg or delta tables on object storage interactively, as the compute layer of a lakehouse, investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for it. Of those, ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline first and serving a bi tool a single sql endpoint over an estate that is actually several separate storage systems are not what Userpilot is typically brought in for.
- What can Trino do that Userpilot cannot?
- Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.
Answered from the vendors’ own pages
Trino: 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.
Userpilot: What is included in the free trial?
Userpilot offers a free 14-day trial without requiring a credit card, providing full access to the Starter tier features.
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.
Userpilot: Does Userpilot include session replay?
Session replay is available in the Growth tier as an optional add-on for watching real user sessions and identifying friction points.
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.
Userpilot: What integrations does Userpilot support?
Userpilot integrates with HubSpot, Salesforce, Segment, Google Analytics, Amplitude, Mixpanel, Heap, Zendesk, Intercom and Google Tag Manager. Additional integrations can be requested.
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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