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Technology · head to head

Nagios XI vs Trino

Nagios XI logo

Nagios XI

Technology

Enterprise-grade monitoring solution with advanced visualization and reporting

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: Nagios XI free Edition caps at 7 nodes or 100 services, whichever limit is hit first; 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 Nagios XI and Trino actually diverge.

Attributes where Nagios XI and Trino differ
AttributeNagios XITrino
Pricing modelone-timeopen-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 Nagios XI

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.

Nagios XI

  • Monitoring servers, networks, and IoT devices for status changesnot Trino
  • Detecting infrastructure problems before they cause outagesnot Trino
  • Creating customizable dashboards for real-time IT visibilitynot Trino
  • Tracking SLA compliance and generating capacity planning reportsnot Trino

Trino

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

Where each one falls short

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

Nagios XI

  • Free Edition caps at 7 nodes or 100 services, whichever limit is hit first
  • Standard Edition is licensed per node count, starting at $2,595 for 100 nodes and rising to $14,995 for 1,000 nodes
  • Enterprise Edition, which adds capacity planning and SLA reporting, is sold as an add-on starting at $4,690 for 100 nodes on top of the base license
  • Sitewide Edition for large distributed environments has no published price and requires contacting sales

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

Nagios XI

Free
  • Free EditionFree
    • 7 nodes OR 100 services limit
    • Self-supported only
  • Standard 100-Node$2595/perpetual
    • 100 nodes
    • First year includes support and upgrades
  • Standard 500-Node$8295/perpetual
    • 500 nodes
    • First year includes support and upgrades
  • Standard 1000-Node$14995/perpetual
    • 1,000 nodes
    • First year includes support and upgrades

Trino

Free

No published plan breakdown. See the Trino review.

Which should you pick?

Choose Nagios XI 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 Nagios XI or Trino better?
Neither clearly leads. Nagios XI 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, Nagios XI or Trino?
Nagios XI starts at Free and Trino at Free.
Does Nagios XI or Trino run on more platforms?
Both run on Web, so platform support will not decide this one for you.
Can I use Nagios XI for free?
Both have a free tier, so you can try either at no cost before committing.
What is Nagios XI best used for?
Nagios XI is most often used for monitoring servers, networks, and iot devices for status changes, detecting infrastructure problems before they cause outages, creating customizable dashboards for real-time it visibility, tracking sla compliance and generating capacity planning reports. Of those, monitoring servers, networks, and iot devices for status changes and detecting infrastructure problems before they cause outages are not what Trino is typically brought in for.
What can Nagios XI do that Trino cannot?
Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.

Answered from the vendors’ own pages

Nagios XI: What is Nagios XI's pricing model?

Nagios XI uses perpetual licensing with one-time purchase costs based on node count, ranging from $2,595 for 100 nodes to $14,995 for 1,000 nodes.

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.

Nagios XI: Is there a free version of Nagios XI?

Yes, Nagios XI Free Edition is available at no cost with a limit of 7 nodes or 100 services, whichever is reached first.

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.

Nagios XI: What is included with Nagios XI licensing?

Initial licenses include one year of free version upgrades, up to 10 support cases, and support portal access. Each license permits three installations: production, backup/failover, and testing/development.

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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