Developer Tools · head to head
ESLint 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: ESLint slow performance on large codebases compared to newer tools like Oxlint and Biome; 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 ESLint 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 ESLint
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.
ESLint
- Statically analysing JavaScript and JSX to find problems before runtimenot Trino
- Automatically fixing issues with syntax-aware rewritesnot Trino
- Enforcing a consistent code style across a teamnot Trino
- Running as a CI step to block non-conforming codenot Trino
- Writing custom rules for project-specific conventionsnot Trino
Trino
- Ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline firstnot ESLint
- Serving a BI tool a single SQL endpoint over an estate that is actually several separate storage systemsnot ESLint
- Querying Iceberg or Delta tables on object storage interactively, as the compute layer of a lakehousenot ESLint
- Investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for itnot ESLint
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
ESLint
- Slow performance on large codebases compared to newer tools like Oxlint and Biome
- Complexity in configuration from scratch, particularly for TypeScript support
- Limited built-in TypeScript support, requiring separate parsers and coordination with new TypeScript features
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
ESLint
FreeNo published plan breakdown. See the ESLint review.
Trino
FreeNo published plan breakdown. See the Trino review.
Which should you pick?
Choose ESLint if
- You want to start without paying.
- You work on Browser-based JavaScript, Node.js, Any JavaScript environment.
Choose Trino if
- You need federated querying.
- You want to start without paying.
- You also want connector architecture.
Questions people ask
- Is ESLint or Trino better?
- Neither clearly leads. ESLint 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, ESLint or Trino?
- ESLint starts at Free and Trino at Free.
- Does ESLint or Trino run on more platforms?
- ESLint runs on Browser-based JavaScript, Node.js, Any JavaScript environment. Trino runs on Web.
- Can I use ESLint for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is ESLint best used for?
- ESLint is most often used for statically analysing javascript and jsx to find problems before runtime, automatically fixing issues with syntax-aware rewrites, enforcing a consistent code style across a team, running as a ci step to block non-conforming code. Of those, statically analysing javascript and jsx to find problems before runtime and automatically fixing issues with syntax-aware rewrites are not what Trino is typically brought in for.
- What can ESLint do that Trino cannot?
- Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.
Answered from the vendors’ own pages
ESLint: Does ESLint automatically fix code issues?
Many problems ESLint finds can be automatically fixed via the --fix flag. ESLint fixes are syntax-aware so you won't experience errors introduced by traditional find-and-replace algorithms.
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.
ESLint: How much does ESLint cost?
ESLint is completely free and open-source software maintained by the OpenJS Foundation. The project accepts voluntary donations from sponsors.
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.
ESLint: Can I write custom ESLint rules?
Yes. You can develop custom rules that work alongside built-in functionality through ESLint's plugin system, allowing complete customization for your project needs.
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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