Developer Tools · head to head
Sweep 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: Sweep limited to JetBrains IDEs only, not available for VS Code or other editors; 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: Sweep covers Autocomplete, Trino covers Federated querying.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Sweep 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 Sweep
- Autocomplete
- AI Agent
- Full codebase indexing
- Code review functionality
- Multi-IDE support
- GitHub integration
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.
Sweep
- Accelerating code completion for JetBrains developersnot Trino
- Automating refactoring tasks across codebasesnot Trino
- Handling bug fixes with full repository contextnot Trino
- Code review and quality assurancenot Trino
Trino
- Ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline firstnot Sweep
- Serving a BI tool a single SQL endpoint over an estate that is actually several separate storage systemsnot Sweep
- Querying Iceberg or Delta tables on object storage interactively, as the compute layer of a lakehousenot Sweep
- Investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for itnot Sweep
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Sweep
- Limited to JetBrains IDEs only, not available for VS Code or other editors
- Free tier limited to 1,000 autocompletes per month
- API credit consumption varies by feature usage
- Performance dependent on codebase size and indexing quality
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
Sweep
Free- FreeFree
- 1,000 autocompletes
- 5 USD API credits included
- All JetBrains IDEs supported
- Pro$20/month
- Unlimited autocomplete
- Higher API credit allocation
- Priority support
- Ultra$60/month
- Unlimited autocomplete
- Maximum API credit allocation
- Extended context window
Trino
FreeNo published plan breakdown. See the Trino review.
Which should you pick?
Choose Sweep if
- You need autocomplete.
- You want to start without paying.
- You work on JetBrains IDEs.
- You also want ai agent.
Choose Trino if
- You need federated querying.
- You want to start without paying.
- You also want connector architecture.
Questions people ask
- Is Sweep or Trino better?
- Neither clearly leads. Sweep 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, Sweep or Trino?
- Sweep starts at Free and Trino at Free.
- Does Sweep or Trino run on more platforms?
- Sweep runs on JetBrains IDEs. Trino runs on Web.
- Can I use Sweep for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Sweep best used for?
- Sweep is most often used for accelerating code completion for jetbrains developers, automating refactoring tasks across codebases, handling bug fixes with full repository context, code review and quality assurance. Of those, accelerating code completion for jetbrains developers and automating refactoring tasks across codebases are not what Trino is typically brought in for.
- What can Sweep do that Trino cannot?
- Sweep covers Autocomplete, AI Agent, Full codebase indexing, Code review functionality. Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.
Answered from the vendors’ own pages
Sweep: What programming languages does Sweep support?
Sweep works with all programming languages supported by JetBrains IDEs, including Python, Java, JavaScript, Go, Kotlin, C++, and many others.
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.
Sweep: Does Sweep retain my code data?
No. Sweep is SOC 2 Type II certified with zero data retention. Code is processed for suggestions but not stored.
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.
Sweep: Can I cancel my Sweep subscription anytime?
Yes. You can cancel your subscription at any time from your account settings with no long-term commitments or cancellation fees.
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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