Developer Tools · head to head
Prettier vs Trino
Trino
Technology
A distributed SQL engine that queries data where it already lives, across object storage, warehouses and operational databases.
- From
- Free
- Free plan
- Yes
The short version
- Each has a real cost: Prettier inflexible style rules that cannot be customized significantly, forcing teams to accept opinionated defaults; 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 Prettier and Trino actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 Prettier
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.
Prettier
- Automatically formatting TypeScript files to project style standardsnot Trino
- Enforcing consistent HTML indentation across component filesnot Trino
- Removing style-related comments from pull request reviewsnot Trino
- Formatting GraphQL queries with consistent indentationnot Trino
Trino
- Ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline firstnot Prettier
- Serving a BI tool a single SQL endpoint over an estate that is actually several separate storage systemsnot Prettier
- Querying Iceberg or Delta tables on object storage interactively, as the compute layer of a lakehousenot Prettier
- Investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for itnot Prettier
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Prettier
- Inflexible style rules that cannot be customized significantly, forcing teams to accept opinionated defaults
- Developers must format entire files rather than selective line ranges in some contexts
- Limited language support compared to some alternatives, though it covers major languages
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
Prettier
FreeNo published plan breakdown. See the Prettier review.
Trino
FreeNo published plan breakdown. See the Trino review.
Which should you pick?
Choose Prettier if
- You want to start without paying.
- You work on CLI, Editor Plugins, Build Tools.
Choose Trino if
- You need federated querying.
- You want to start without paying.
- You also want connector architecture.
Questions people ask
- Is Prettier or Trino better?
- Neither clearly leads. Prettier 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, Prettier or Trino?
- Prettier starts at Free and Trino at Free.
- Does Prettier or Trino run on more platforms?
- Prettier runs on CLI, Editor Plugins, Build Tools. Trino runs on Web.
- Can I use Prettier for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Prettier best used for?
- Prettier is most often used for automatically formatting typescript files to project style standards, enforcing consistent html indentation across component files, removing style-related comments from pull request reviews, formatting graphql queries with consistent indentation. Of those, automatically formatting typescript files to project style standards and enforcing consistent html indentation across component files are not what Trino is typically brought in for.
- What can Prettier do that Trino cannot?
- Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.
Answered from the vendors’ own pages
Prettier: Is Prettier free and open source?
Yes, Prettier is completely free and open source, available as an npm package with no licensing costs or subscriptions.
SourceTrino: 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.
Prettier: Can Prettier be integrated with ESLint?
Yes, Prettier integrates with ESLint by disabling ESLint formatting rules via eslint-config-prettier, allowing both tools to work together with Prettier handling formatting and ESLint handling code quality.
SourceTrino: 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.
Prettier: Does Prettier support configuration customization?
Prettier is intentionally opinionated with limited configuration options to enforce consistency. You can create a .prettierrc file for basic customization, but Prettier does not support extensive rule customization like ESLint.
SourceTrino: 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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