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Sentry vs Trino

Sentry logo

Sentry

Technology

Application monitoring platform built by developers for developers

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: Sentry spending caps stop event ingestion when reached, eliminating visibility during critical moments; 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: Sentry covers Error tracking, Trino covers Federated querying.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Sentry and Trino actually diverge.

Attributes where Sentry and Trino differ
AttributeSentryTrino
Pricing modelUnknownopen-source
PlatformsWeb, iOS, Android, React Native, Desktop, 30+ frameworks and languagesWeb
Founded2011Unknown

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 Sentry

  • Error tracking
  • Performance monitoring
  • Release tracking
  • Real user monitoring
  • Alerting
  • Issue assignment
  • Breadcrumbs
  • Source 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.

Sentry

  • Error monitoringnot Trino
  • Performance trackingnot Trino
  • Debug production issuesnot Trino
  • Release managementnot Trino
  • User monitoringnot Trino

Trino

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

Where each one falls short

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

Sentry

  • Spending caps stop event ingestion when reached, eliminating visibility during critical moments
  • Complex configuration required for filters, sampling rules, issue grouping, and alert policies
  • Difficult to configure custom alerts and alert content without creating email inbox bloat
  • Error grouping is imperfect with noise and filtering issues causing incorrect error prioritization
  • Weak for distributed tracing across microservices compared to dedicated APM tools
  • UI dashboard is less customizable than alternatives like Datadog APM for complex monitoring needs

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

Sentry

Free
  • Developer (Free)Free
    • 5K errors per month
    • 1 user seat
    • 30-day data retention
  • Team$26/month
    • 50K errors per month
    • 5M transaction spans
    • 90-day data retention
  • Business$80/month
    • Higher quotas
    • Extended retention
    • Advanced filtering
  • Organization$199/month
    • SSO integration
    • Audit logs
    • Advanced security

Trino

Free

No published plan breakdown. See the Trino review.

Which should you pick?

Choose Sentry if

  • You need error tracking.
  • You want to start without paying.
  • You work on Web, iOS, Android, React Native, Desktop, 30+ frameworks and languages.
  • You also want performance monitoring.
Sentry 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 Sentry or Trino better?
Neither clearly leads. Sentry 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, Sentry or Trino?
Sentry starts at Free and Trino at Free.
Does Sentry or Trino run on more platforms?
Sentry runs on Web, iOS, Android, React Native, Desktop, 30+ frameworks and languages. Trino runs on Web.
Can I use Sentry for free?
Both have a free tier, so you can try either at no cost before committing.
What is Sentry best used for?
Sentry is most often used for error monitoring, performance tracking, debug production issues, release management. Of those, error monitoring and performance tracking are not what Trino is typically brought in for.
What can Sentry do that Trino cannot?
Sentry covers Error tracking, Performance monitoring, Release tracking, Real user monitoring. Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.

Answered from the vendors’ own pages

Sentry: Does Sentry have a free tier?

Yes. The free Developer tier includes 5,000 errors per month, one user seat, 30-day retention, and 50 session replays per month.

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.

Sentry: How much do Sentry's paid plans cost?

Team plan starts at $26/month (annual) or $29/month (monthly) with 50K errors and 5M spans included. Business plan is $80-89/month. Organization plans start at $199/month with SSO and advanced compliance features.

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.

Sentry: What programming languages does Sentry support?

Sentry supports over 30 languages and frameworks including JavaScript, Python, Go, Ruby, Java, .NET, PHP, Node.js, and mobile platforms including iOS, Android, and React Native.

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.

Sentry: Does Sentry support self-hosting?

Yes. Sentry can be self-hosted, and the open-source version is available for deployment in on-premises environments.

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.

Sentry: How does Sentry billing work if I exceed my quota?

Sentry offers spending caps that stop ingestion when reached, meaning you lose visibility exactly when you need it most. You can pre-purchase reserved capacity at 20% discount or pay per event on-demand when exceeding included allotment.

Source
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.

Sentry: What integrations does Sentry support?

Sentry integrates with GitHub, GitLab, Jira, Slack, PagerDuty, most CI/CD pipelines, and many other developer tools.

Source
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