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Databases · head to head

Tinybird vs Trino

Tinybird logo

Tinybird

Databases

Managed ClickHouse with a workflow that turns SQL queries into hosted HTTP APIs

From
Free
Free plan
Yes
Visit TinybirdFull review
Trino logo

Trino

Databases

A distributed SQL engine that queries data where it already lives, across object storage, warehouses and operational databases.

From
Free
Free plan
Yes
Visit TrinoFull review

The short version

  • Trino is free; Tinybird starts at $25/mo.
  • Only Tinybird lists managed ClickHouse; only Trino lists federated querying.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Tinybird and Trino actually diverge.

Attributes where Tinybird and Trino differ
AttributeTinybirdTrino
Pricing modelPer month by compute and storageOpen-source
PlatformsWeb, Linux, macOSWeb

Identical on both: starting price (Free), free tier (Yes), category (Databases).

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 Tinybird

  • Managed ClickHouse
  • Pipes as APIs
  • Events HTTP endpoint
  • Streaming connectors
  • Materialized views
  • Git-based workflow
  • Token-scoped auth
  • Observability

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.

Tinybird

  • A SaaS product adding a per-customer usage dashboard that must render in under a second across billions of eventsnot Trino
  • A team building rate limiting or fraud checks that need an aggregate over the last few minutes returned inside a request cyclenot Trino
  • A data team offloading interactive operational dashboards from Snowflake, where per-query warehouse cost makes constant refresh untenablenot Trino
  • A game or ad-tech company ingesting a high-volume event stream and exposing live counters back to customers through an APInot Trino

Trino

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

Where each one falls short

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

Tinybird

  • It is ClickHouse underneath, so it inherits ClickHouse limits: multi-table joins degrade badly at scale, updates and deletes are expensive mutations rather than cheap operations, and a poorly chosen sorting key at table creation cannot be fixed without rebuilding the data
  • Compute is metered per vCPU-second with overage at 0.0002 USD per second, so an inefficient query shipped to production shows up directly on the invoice rather than merely running slowly
  • Only the Enterprise tier gets horizontal scaling and dedicated infrastructure; Free, Developer and SaaS all run on shared infrastructure with vertical scaling only, which caps both isolation and headroom for anyone not on a custom contract
  • Storage is billed at 0.058 USD per gigabyte on top of compute, and egress is charged separately at 0.01 USD per gigabyte intra-cloud and 0.10 USD inter-cloud, so a high-fanout API serving many small responses accrues costs in three places at once
  • You are building on a proprietary workflow around an open database: the pipes, tokens and API layer are Tinybird specific, so leaving means keeping your data but rewriting the entire serving layer you adopted Tinybird to avoid writing

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

Tinybird

Free
  • FreeFree
    • 0.25 vCPU on shared infrastructure
    • 10 GB storage included
    • 1,000 requests per day
  • Developer$25/mo
    • 0.5 vCPU scaling to 8 vCPU
    • 25 GB storage included
    • Two replicas
  • SaaSOn request
    • Up to 32 vCPU
    • 500 GB storage included
    • Four to sixteen threads per request
  • EnterpriseOn request
    • Unlimited vCPU and bottomless storage
    • Dedicated infrastructure and private regions
    • Vertical and horizontal scaling

Trino

Free

No published plan breakdown. See the Trino review.

Which should you pick?

Choose Tinybird if

  • You need managed clickhouse.
  • You want to start without paying.
  • You work on Web, Linux, macOS.
  • You also want pipes as apis.
Tinybird 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 Tinybird or Trino better?
Neither clearly leads. Tinybird 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, Tinybird or Trino?
Tinybird starts at Free and Trino at Free.
Does Tinybird or Trino run on more platforms?
Tinybird runs on Web, Linux, macOS. Trino runs on Web.
Can I use Tinybird for free?
Both have a free tier, so you can try either at no cost before committing.
What is Tinybird best used for?
Tinybird is most often used for a saas product adding a per-customer usage dashboard that must render in under a second across billions of events, a team building rate limiting or fraud checks that need an aggregate over the last few minutes returned inside a request cycle, a data team offloading interactive operational dashboards from snowflake, where per-query warehouse cost makes constant refresh untenable, a game or ad-tech company ingesting a high-volume event stream and exposing live counters back to customers through an api. Of those, a saas product adding a per-customer usage dashboard that must render in under a second across billions of events and a team building rate limiting or fraud checks that need an aggregate over the last few minutes returned inside a request cycle are not what Trino is typically brought in for.
What can Tinybird do that Trino cannot?
Tinybird covers Managed ClickHouse, Pipes as APIs, Events HTTP endpoint, Streaming connectors. Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.

Answered from the vendors’ own pages

Tinybird: Is Tinybird just hosted ClickHouse?

No. The database is ClickHouse, but the product is the layer above it: publishing parameterised SQL as authenticated, rate-limited REST endpoints without writing an API server.

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.

Tinybird: What does it actually cost?

Free tier at 1,000 requests a day, Developer from 25 USD a month, then compute at 0.0002 USD per vCPU-second and storage at 0.058 USD per gigabyte. Higher tiers are quoted.

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.

Tinybird: Can I run it on my own infrastructure?

Only on Enterprise, which offers dedicated infrastructure and private regions. Lower tiers are shared multi-tenant cloud.

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.

Tinybird: Does it handle updates and deletes?

Poorly, as ClickHouse does. Design for append-only event data; frequent mutation is the wrong workload for this engine.

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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