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Technology · head to head

Pendo vs Trino

Pendo logo

Pendo

Technology

Product analytics and digital adoption platform

From
Free
Rated
-
Full reviewWebsite
Trino logo

Trino

Technology

A distributed SQL engine that queries data where it already lives, across object storage, warehouses and operational databases.

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Pendo pricing is not publicly available and requires a custom quote; 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: Pendo covers Product analytics, Trino covers Federated querying.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Pendo and Trino actually diverge.

Attributes where Pendo and Trino differ
AttributePendoTrino
Pricing modelUnknownopen-source
PlatformsWeb, Mobile, DesktopWeb
Founded2013Unknown

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 Pendo

  • Product analytics
  • In-app messaging
  • User onboarding
  • Feature adoption tracking
  • User feedback
  • NPS surveys
  • Session replay
  • Mobile analytics

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.

Pendo

  • User onboardingnot Trino
  • Feature adoptionnot Trino
  • Product analyticsnot Trino
  • User feedback collectionnot Trino
  • Digital adoptionnot Trino

Trino

  • Ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline firstnot Pendo
  • Serving a BI tool a single SQL endpoint over an estate that is actually several separate storage systemsnot Pendo
  • Querying Iceberg or Delta tables on object storage interactively, as the compute layer of a lakehousenot Pendo
  • Investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for itnot Pendo

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Pendo

  • Pricing is not publicly available and requires a custom quote
  • Free tier limited to 500 monthly active users

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

Pendo

Free
  • FreeFree
    • 500 MAU
    • Core analytics
    • In-app guides

Trino

Free

No published plan breakdown. See the Trino review.

Which should you pick?

Choose Pendo if

  • You need product analytics.
  • You want to start without paying.
  • You work on Web, Mobile, Desktop.
  • You also want in-app messaging.
Pendo review

Choose Trino if

  • You need federated querying.
  • You want to start without paying.
  • You also want connector architecture.
Trino review

Questions people ask

Is Pendo or Trino better?
Neither clearly leads. Pendo 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, Pendo or Trino?
Pendo starts at Free and Trino at Free.
Does Pendo or Trino run on more platforms?
Pendo runs on Web, Mobile, Desktop. Trino runs on Web.
Can I use Pendo for free?
Both have a free tier, so you can try either at no cost before committing.
What is Pendo best used for?
Pendo is most often used for user onboarding, feature adoption, product analytics, user feedback collection. Of those, user onboarding and feature adoption are not what Trino is typically brought in for.
What can Pendo do that Trino cannot?
Pendo covers Product analytics, In-app messaging, User onboarding, Feature adoption tracking. Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.

Answered from the vendors’ own pages

Pendo: Does Pendo have a free tier?

Yes, Pendo Free supports up to 500 monthly active users and includes core product analytics, in-app guides, Pendo-branded roadmaps, and Pendo-branded NPS surveys.

Source
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.

Pendo: What is Pendo's core functionality?

Pendo combines product analytics, in-app guides, session replay, NPS surveys, product discovery, roadmaps, and cross-channel orchestration to measure and improve product adoption.

Source
Trino: 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.

Pendo: What CRM systems does Pendo integrate with?

Pendo offers two-way integrations with Salesforce, mapping Pendo product usage and sentiment data with Salesforce records, and with HubSpot for contact mapping and campaign orchestration.

Source
Trino: 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.

Pendo: What impact does Pendo have on customer retention?

Companies using Pendo for product analytics see on average a 5% reduction in customer churn and report an average 15% increase in net revenue retention.

Source
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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