Technology · head to head
Raycast vs Trino
Trino
Technology
A distributed SQL engine that queries data where it already lives, across object storage, warehouses and operational databases.
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Raycast the free plan includes 50 Raycast AI messages, 5 notes and 3 months of clipboard history; 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: Raycast covers Application launcher, Trino covers Federated querying.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Raycast and Trino actually diverge.
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 Raycast
- Application launcher
- File search
- Clipboard history
- Snippets
- Window management
- Calculator
- System commands
- Extension ecosystem
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.
Raycast
- App launchingnot Trino
- Quick calculationsnot Trino
- File navigationnot Trino
- Snippet expansionnot Trino
- Workflow automationnot Trino
Trino
- Ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline firstnot Raycast
- Serving a BI tool a single SQL endpoint over an estate that is actually several separate storage systemsnot Raycast
- Querying Iceberg or Delta tables on object storage interactively, as the compute layer of a lakehousenot Raycast
- Investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for itnot Raycast
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Raycast
- The free plan includes 50 Raycast AI messages, 5 notes and 3 months of clipboard history
- Advanced AI models are sold only as an add-on to the paid Pro plan at a further $8 per month on top of the $10 subscription
- Free team workspaces cap sharing at 30 snippets, 30 quicklinks and 5 commands across all extensions
- Teams Pro is $15 per user per month, billed per seat rather than per workspace
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
Raycast
Free- FreeFree
- Core features: Clipboard History, Quicklinks, Calculator, Snippets, Window Management
- Thousands of community extensions
- 3-month clipboard history
- Pro$10/month
- Raycast AI with advanced models
- Unlimited clipboard history
- Unlimited notes
- Pro Annual$8/month
- Same as Pro plan
- Annual billing saves 20% compared to monthly
- Teams FreeFree
- No cost per user
- Shared extensions, snippets, and quicklinks
Trino
FreeNo published plan breakdown. See the Trino review.
Which should you pick?
Choose Raycast if
- You need application launcher.
- You want to start without paying.
- You work on Macos.
- You also want file search.
Choose Trino if
- You need federated querying.
- You want to start without paying.
- You also want connector architecture.
Questions people ask
- Is Raycast or Trino better?
- Neither clearly leads. Raycast 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, Raycast or Trino?
- Raycast starts at Free and Trino at Free.
- Does Raycast or Trino run on more platforms?
- Raycast runs on Macos. Trino runs on Web.
- Can I use Raycast for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Raycast best used for?
- Raycast is most often used for app launching, quick calculations, file navigation, snippet expansion. Of those, app launching and quick calculations are not what Trino is typically brought in for.
- What can Raycast do that Trino cannot?
- Raycast covers Application launcher, File search, Clipboard history, Snippets. Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.
Answered from the vendors’ own pages
Raycast: Does Raycast offer a free plan?
Yes. Raycast has a free plan with core features including clipboard history, quicklinks, calculator, snippets, window management, and access to thousands of community extensions.
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.
Raycast: How much does Raycast Pro cost?
Raycast Pro costs $10 per month or $8 per month when billed annually, saving 20% with yearly subscription.
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.
Raycast: Does Raycast offer team plans?
Yes. Teams Free tier is available at no cost per user with shared extensions and snippets. Teams Pro costs $15 per user per month with unlimited team members.
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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