Developer Tools · head to head
PartyKit vs Trino
PartyKit
Developer Tools
Platform for building and deploying realtime multiplayer servers on the edge
- From
- Free
- Free plan
- Yes

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: PartyKit documentation and FAQ material on the marketing site is sparse compared to larger realtime platforms.; 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: PartyKit covers Stateful edge servers, Trino covers Federated querying.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which PartyKit 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 PartyKit
- Stateful edge servers
- WebSocket-first API
- CRDT library compatibility
- Framework integrations
- Global edge deployment
- Custom domains
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.
PartyKit
- Multiplayer collaborative appsnot Trino
- Realtime AI agent backendsnot Trino
- Live cursors and presencenot Trino
- Collaborative whiteboards and documentsnot Trino
Trino
- Ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline firstnot PartyKit
- Serving a BI tool a single SQL endpoint over an estate that is actually several separate storage systemsnot PartyKit
- Querying Iceberg or Delta tables on object storage interactively, as the compute layer of a lakehousenot PartyKit
- Investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for itnot PartyKit
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
PartyKit
- Documentation and FAQ material on the marketing site is sparse compared to larger realtime platforms.
- Commercial free tier requires deploying to the user's own Cloudflare account, adding setup complexity.
- Storage on the free Individual plan clears every 24 hours, limiting it to prototyping rather than persistent production data.
- Smaller ecosystem and community than more established realtime infrastructure providers.
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
PartyKit
Free- IndividualFree
- Up to 10 live projects
- Deploy to the global edge platform
- Storage clears every 24 hours
- CommercialFree
- Unlimited projects
- Custom domains
- Runs on your own Cloudflare account; pay only Cloudflare usage
Trino
FreeNo published plan breakdown. See the Trino review.
Which should you pick?
Choose PartyKit if
- You need stateful edge servers.
- You want to start without paying.
- You work on web, api.
- You also want websocket-first api.
Choose Trino if
- You need federated querying.
- You want to start without paying.
- You also want connector architecture.
Questions people ask
- Is PartyKit or Trino better?
- Neither clearly leads. PartyKit 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, PartyKit or Trino?
- PartyKit starts at Free and Trino at Free.
- Does PartyKit or Trino run on more platforms?
- PartyKit runs on web, api. Trino runs on Web.
- Can I use PartyKit for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is PartyKit best used for?
- PartyKit is most often used for multiplayer collaborative apps, realtime ai agent backends, live cursors and presence, collaborative whiteboards and documents. Of those, multiplayer collaborative apps and realtime ai agent backends are not what Trino is typically brought in for.
- What can PartyKit do that Trino cannot?
- PartyKit covers Stateful edge servers, WebSocket-first API, CRDT library compatibility, Framework integrations. Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.
Answered from the vendors’ own pages
PartyKit: How much does PartyKit cost?
PartyKit is completely free. Both the Individual and Commercial plans have no upfront costs.
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.
PartyKit: What is PartyKit's Individual plan?
The Individual plan is free and includes deployment to a global edge platform, support for up to 10 live projects, and is suitable for small projects. Storage is cleared every 24 hours.
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.
PartyKit: What is PartyKit's Commercial plan?
The Commercial plan is free but requires deploying to your own Cloudflare account. It includes custom domains, unlimited projects, and you pay only your Cloudflare usage costs.
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.
PartyKit: Can I upgrade from Individual to Commercial plan?
Yes, both plans are free but offer different feature sets. The Commercial plan removes project restrictions but requires managing your own Cloudflare infrastructure.
SourceTrino: 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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