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Technology · head to head

Checkmk vs Trino

Checkmk logo

Checkmk

Technology

Comprehensive IT monitoring, open and flexible

From
Free
Rated
-
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
-

The short version

  • Each has a real cost: Checkmk pricing calculated by service count, not hosts (approximately 30 services per host on average); 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.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Checkmk and Trino actually diverge.

Attributes where Checkmk and Trino differ
AttributeCheckmkTrino
Pricing modelsubscriptionopen-source

Identical on both: starting price (Free), free tier (Yes), platforms (Web), 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 Checkmk

Nothing recorded that Trino does not also cover.

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.

Checkmk

  • Infrastructure monitoringnot Trino
  • System observabilitynot Trino
  • Enterprise compliance monitoringnot Trino

Trino

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

Where each one falls short

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

Checkmk

  • Pricing calculated by service count, not hosts (approximately 30 services per host on average)
  • Professional support limited to 8-10 hours per week on base plans
  • Synthetic monitoring is separate add-on with per-test pricing

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

Checkmk

Free
  • Community (Self-Hosted)Free
    • No cost, forever
    • Up to ~100 hosts
    • Basic infrastructure monitoring
  • Pro (Self-Hosted)$190/month
    • Advanced analytics
    • Reporting
    • Distributed monitoring
  • Ultimate (Self-Hosted)$275/month
    • Full-stack observability
    • Advanced security compliance
    • 10 hours x 5 days professional support (upgradable to 24/7)
  • CloudAI (SaaS)$240/month
    • Fully managed cloud hosting
    • 99.5% uptime SLA
    • Supports up to 50000 services

Trino

Free

No published plan breakdown. See the Trino review.

Which should you pick?

Choose Checkmk if

  • You want to start without paying.

Choose Trino if

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

Questions people ask

Is Checkmk or Trino better?
Neither clearly leads. Checkmk 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, Checkmk or Trino?
Checkmk starts at Free and Trino at Free.
Does Checkmk or Trino run on more platforms?
Both run on Web, so platform support will not decide this one for you.
Can I use Checkmk for free?
Both have a free tier, so you can try either at no cost before committing.
What is Checkmk best used for?
Checkmk is most often used for infrastructure monitoring, system observability, enterprise compliance monitoring. Of those, infrastructure monitoring and system observability are not what Trino is typically brought in for.
What can Checkmk do that Trino cannot?
Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.

Answered from the vendors’ own pages

Checkmk: Is there a free version of Checkmk?

Yes, Checkmk Community edition is free forever and supports up to approximately 100 hosts for basic infrastructure monitoring with no cost.

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.

Checkmk: How does Checkmk calculate pricing by host count?

Checkmk uses service-based pricing where each monitored aspect (file system, hardware sensor, switch port, metric) counts as one service. On average, there are approximately 30 services per host.

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.

Checkmk: What is the difference between Checkmk Pro and Ultimate tiers?

Pro tier at 190 EUR/month includes advanced analytics and 8x5 support, while Ultimate at 275 EUR/month adds full-stack observability, advanced compliance features, and upgradable 24/7 support.

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.

Checkmk: Does Checkmk offer a managed SaaS option?

Yes, Checkmk CloudAI is a fully managed SaaS tier at 240 EUR/month with 99.5% uptime SLA and support for up to 50000 services.

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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