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Technology · head to head

Attio vs Trino

Attio logo

Attio

Technology

The CRM built for the next generation of companies

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: Attio the free plan stops at 3 seats and 50,000 records; 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: Attio covers Custom data model, Trino covers Federated querying.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Attio and Trino actually diverge.

Attributes where Attio and Trino differ
AttributeAttioTrino
Pricing modelfreemiumopen-source
PlatformsWeb, Ios, Android, ApiWeb
Founded2021Unknown

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 Attio

  • Custom data model
  • Flexible views
  • Email integration
  • Calendar sync
  • Automations
  • Mobile app
  • Real-time collaboration
  • Templates

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.

Attio

  • Sales pipelinenot Trino
  • Customer managementnot Trino
  • Deal trackingnot Trino
  • Investor relationsnot Trino
  • Partnership managementnot Trino

Trino

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

Where each one falls short

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

Attio

  • The free plan stops at 3 seats and 50,000 records
  • Outbound email is capped at 200 messages a month on the free plan and 1,000 on Plus
  • Call Intelligence, sequences, advanced reporting and permission controls all require the Pro tier
  • Custom objects are capped at 3 on free, 5 on Plus and 12 on Pro, with unlimited objects reserved for Enterprise
  • File storage is capped at 50 GB on the free and Plus tiers

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

Attio

Free
  • FreeFree
    • Up to 3 seats
    • 50000 records
    • 3 objects
  • Plus$44/month
    • Up to 10 seats
    • 250000 records
    • 5 objects
  • Pro$99/month
    • Unlimited seats
    • 1000000 records
    • 12 objects
  • EnterpriseFree
    • Custom pricing
    • Unlimited objects
    • Custom record limits

Trino

Free

No published plan breakdown. See the Trino review.

Which should you pick?

Choose Attio if

  • You need custom data model.
  • You want to start without paying.
  • You work on Web, Ios, Android, Api.
  • You also want flexible views.
Attio 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 Attio or Trino better?
Neither clearly leads. Attio 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, Attio or Trino?
Attio starts at Free and Trino at Free.
Does Attio or Trino run on more platforms?
Attio runs on Web, Ios, Android, Api. Trino runs on Web.
Can I use Attio for free?
Both have a free tier, so you can try either at no cost before committing.
What is Attio best used for?
Attio is most often used for sales pipeline, customer management, deal tracking, investor relations. Of those, sales pipeline and customer management are not what Trino is typically brought in for.
What can Attio do that Trino cannot?
Attio covers Custom data model, Flexible views, Email integration, Calendar sync. Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.

Answered from the vendors’ own pages

Attio: How much does Attio cost per user?

Attio's Plus plan is $44/user/month (or $35/month annually with 20% discount). Pro is $99/user/month (or $79/month annually). The Free plan includes up to 3 seats at 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.

Attio: What are Attio's seat and record limits for each plan?

Free plan includes up to 3 seats with 50,000 records. Plus supports up to 10 seats with 250,000 records. Pro offers unlimited seats with 1 million records. Enterprise has custom record limits.

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.

Attio: Are there additional costs for Attio beyond the per-user subscription?

Yes, workspace credits are available as add-ons ($70-$475/month depending on volume). Annual billing provides a 20% discount on the base per-user cost.

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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