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Technology · head to head

PagerDuty vs Trino

PagerDuty logo

PagerDuty

Technology

Real-time operations for real-time business

From
$21/month
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

  • Only Trino has a free tier, so it costs nothing to try first.
  • Each has a real cost: PagerDuty aIOps, status pages, and live call routing are expensive add-ons not included in base plans, significantly increasing total 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.
  • They diverge on capability: PagerDuty covers Incident response, Trino covers Federated querying.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which PagerDuty and Trino actually diverge.

Attributes where PagerDuty and Trino differ
AttributePagerDutyTrino
Starting price$21/monthFree
Pricing modelUnknownopen-source
Free tierNoYes
PlatformsWeb, Ios, Android, ApiWeb
Founded2009Unknown

Identical on both: 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 PagerDuty

  • Incident response
  • On-call management
  • Alert grouping
  • Escalation policies
  • Mobile incident management
  • Postmortems
  • Status pages
  • Event intelligence

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.

PagerDuty

  • Incident managementnot Trino
  • On-call schedulingnot Trino
  • Real-time alertingnot Trino
  • Service reliabilitynot Trino
  • Digital operationsnot Trino

Trino

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

Where each one falls short

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

PagerDuty

  • AIOps, status pages, and live call routing are expensive add-ons not included in base plans, significantly increasing total cost
  • Complex escalation policies require workarounds for scheduling patterns beyond basic weekly rotations
  • 5-user minimum requirement forces costs even for small teams, with forced Business tier upgrades adding $12,000+ annually for larger teams

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

PagerDuty

$21/month

No published plan breakdown. See the PagerDuty review.

Trino

Free

No published plan breakdown. See the Trino review.

Which should you pick?

Choose PagerDuty if

  • You need incident response.
  • You work on Web, Ios, Android, Api.
  • You also want on-call management.
PagerDuty 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 PagerDuty or Trino better?
Neither clearly leads. PagerDuty starts at $21/month and Trino at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, PagerDuty or Trino?
Trino has a free tier; the other does not. Paid plans start at $21/month for PagerDuty and Free for Trino.
Does PagerDuty or Trino run on more platforms?
PagerDuty runs on Web, Ios, Android, Api. Trino runs on Web.
Can I use Trino for free?
Yes. Trino has a free tier, so you can try it without paying. PagerDuty starts at $21/month.
What is PagerDuty best used for?
PagerDuty is most often used for incident management, on-call scheduling, real-time alerting, service reliability. Of those, incident management and on-call scheduling are not what Trino is typically brought in for.
What can PagerDuty do that Trino cannot?
PagerDuty covers Incident response, On-call management, Alert grouping, Escalation policies. Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.

Answered from the vendors’ own pages

PagerDuty: What is the minimum cost to use PagerDuty?

PagerDuty requires a minimum of 5 users per account. The Professional plan starts at $21 per user per month ($105/month minimum), with annual billing providing 16% discount.

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.

PagerDuty: What integrations does PagerDuty support?

PagerDuty integrates with 750+ monitoring, ticketing, and collaboration tools including Datadog, Slack, Jira, ServiceNow, New Relic, and Nagios.

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.

PagerDuty: How much does AIOps cost in PagerDuty?

AIOps Intelligence is sold separately as an add-on starting at $699 per month, and is not included in any of the base plans.

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.

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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