Developer Tools · head to head
Keycloak vs Trino
Keycloak
Developer Tools
Open-source identity and access management server.
- 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: Keycloak requires self-hosted deployment and operational expertise to install, configure and maintain; 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 Keycloak and Trino actually diverge.
Identical on both: starting price (Free), pricing model (open-source), 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 Keycloak
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.
Keycloak
- Organisations requiring self-hosted identity infrastructure for compliance or data residencynot Trino
- Companies with existing LDAP/Active Directory systems needing federated authenticationnot Trino
- Open-source projects and communities requiring free IAM without licensing costsnot Trino
- Enterprises building custom identity workflows requiring fine-grained authorisationnot Trino
- Teams with sufficient operational expertise to manage infrastructurenot Trino
Trino
- Ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline firstnot Keycloak
- Serving a BI tool a single SQL endpoint over an estate that is actually several separate storage systemsnot Keycloak
- Querying Iceberg or Delta tables on object storage interactively, as the compute layer of a lakehousenot Keycloak
- Investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for itnot Keycloak
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Keycloak
- Requires self-hosted deployment and operational expertise to install, configure and maintain
- No managed cloud option provided by Red Hat; organisations must operate infrastructure themselves or use third-party distributions
- Clustering and high-availability configurations require additional operational knowledge
- Community support only; commercial support requires third-party vendors or distributions
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
Keycloak
Free- Open-sourceFree
- Full platform functionality
- Self-hosted deployment
- Community support
Trino
FreeNo published plan breakdown. See the Trino review.
Which should you pick?
Choose Keycloak if
- You want to start without paying.
- You work on Self-hosted, Docker, Kubernetes, Linux, Windows, API.
Choose Trino if
- You need federated querying.
- You want to start without paying.
- You also want connector architecture.
Questions people ask
- Is Keycloak or Trino better?
- Neither clearly leads. Keycloak 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, Keycloak or Trino?
- Keycloak starts at Free and Trino at Free.
- Does Keycloak or Trino run on more platforms?
- Keycloak runs on Self-hosted, Docker, Kubernetes, Linux, Windows, API. Trino runs on Web.
- Can I use Keycloak for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Keycloak best used for?
- Keycloak is most often used for organisations requiring self-hosted identity infrastructure for compliance or data residency, companies with existing ldap/active directory systems needing federated authentication, open-source projects and communities requiring free iam without licensing costs, enterprises building custom identity workflows requiring fine-grained authorisation. Of those, organisations requiring self-hosted identity infrastructure for compliance or data residency and companies with existing ldap/active directory systems needing federated authentication are not what Trino is typically brought in for.
- What can Keycloak do that Trino cannot?
- Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.
Answered from the vendors’ own pages
Keycloak: What protocols does Keycloak support?
Keycloak supports OpenID Connect, OAuth 2.0 and SAML 2.0 protocols for authentication and authorisation.
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.
Keycloak: Can Keycloak integrate with existing user directories?
Yes. Keycloak supports user federation with LDAP and Active Directory systems, allowing organisations to leverage existing user directories.
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.
Keycloak: Is Keycloak free?
Yes. Keycloak is fully open-source and free to deploy and use. No licensing fees are required.
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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