Softwr

Technology · head to head

MongoDB Atlas vs Trino

MongoDB Atlas logo

MongoDB Atlas

Technology

The multi-cloud developer data 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: MongoDB Atlas m0 free tier limited to learning and exploration only with no backup capability; 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 MongoDB Atlas and Trino actually diverge.

Attributes where MongoDB Atlas and Trino differ
AttributeMongoDB AtlasTrino
Pricing modelusage-basedopen-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 MongoDB Atlas

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.

MongoDB Atlas

  • Building applications with flexible JSON document storagenot Trino
  • Performing full-text and vector search on unstructured datanot Trino
  • Scaling multi-cloud deployments across AWS, Azure, GCPnot Trino
  • Streaming event data integration with Kafkanot Trino

Trino

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

Where each one falls short

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

MongoDB Atlas

  • M0 free tier limited to learning and exploration only with no backup capability
  • Data transfer egress charges apply at 0.12 USD/GB for dedicated clusters; inbound free
  • MongoDB Search and Vector Search add significant per-hour costs starting at 0.12 USD/hour

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

MongoDB Atlas

Free
  • M0 (Free Tier)Free
    • 512 MB storage
    • Shared RAM and vCPU
    • No backups
  • Flex Tier$0.011/hour
    • 5 GB storage
    • Shared RAM and vCPU
    • Pay-as-you-go hourly billing
  • M2 Shared$9/month
    • 2 GB storage
    • Shared RAM and vCPU
  • M5 Shared$25/month
    • 5 GB storage
    • Shared RAM and vCPU

Trino

Free

No published plan breakdown. See the Trino review.

Which should you pick?

Choose MongoDB Atlas if

  • You want to start without paying.
MongoDB Atlas 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 MongoDB Atlas or Trino better?
Neither clearly leads. MongoDB Atlas 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, MongoDB Atlas or Trino?
MongoDB Atlas starts at Free and Trino at Free.
Does MongoDB Atlas or Trino run on more platforms?
Both run on Web, so platform support will not decide this one for you.
Can I use MongoDB Atlas for free?
Both have a free tier, so you can try either at no cost before committing.
What is MongoDB Atlas best used for?
MongoDB Atlas is most often used for building applications with flexible json document storage, performing full-text and vector search on unstructured data, scaling multi-cloud deployments across aws, azure, gcp, streaming event data integration with kafka. Of those, building applications with flexible json document storage and performing full-text and vector search on unstructured data are not what Trino is typically brought in for.
What can MongoDB Atlas do that Trino cannot?
Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.

Answered from the vendors’ own pages

MongoDB Atlas: How much does MongoDB Atlas cost?

MongoDB Atlas offers a free M0 tier with 512 MB storage, Flex tier at approximately 8-30 USD/month with pay-per-hour billing, shared clusters at 9-25 USD/month, and dedicated clusters from 56.94 USD/month. Add-on services like MongoDB Search cost 0.12-3.27 USD/hour.

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.

MongoDB Atlas: Is there a free tier?

Yes, MongoDB Atlas M0 free tier offers 512 MB storage with shared resources, suitable for learning and exploration. Flex tier allows pay-as-you-go usage starting at 0.011 USD/hour.

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.

MongoDB Atlas: What are the data transfer limits?

Inbound data transfer is typically free; egress from dedicated clusters costs 0.12 USD/GB. Free and Flex tiers do not incur data transfer charges.

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.

MongoDB Atlas: What backup options are available?

M0 free tier and Flex tier do not include backups. Dedicated clusters M10 and above include backup services with region and snapshot storage-based pricing.

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.

Share

Related pages

More on MongoDB Atlas

More on Trino

Keep looking

Other head to heads