Developer Tools · head to head
Keil MDK vs Trino

Keil MDK
Developer Tools
Microcontroller Development Kit for Arm-based devices
- 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: Keil MDK pricing for Essential and Professional subscriptions not disclosed on primary site; 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 Keil MDK and Trino actually diverge.
Identical on both: starting price (Free), free tier (Yes), platforms (Web), 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 Keil MDK
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.
Keil MDK
- Embedded software developmentnot Trino
- ARM microcontroller programmingnot Trino
- Professional development environmentsnot Trino
Trino
- Ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline firstnot Keil MDK
- Serving a BI tool a single SQL endpoint over an estate that is actually several separate storage systemsnot Keil MDK
- Querying Iceberg or Delta tables on object storage interactively, as the compute layer of a lakehousenot Keil MDK
- Investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for itnot Keil MDK
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Keil MDK
- Pricing for Essential and Professional subscriptions not disclosed on primary site
- Customers must contact Arm Developer Tools store for subscription rates
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
Keil MDK
FreeNo published plan breakdown. See the Keil MDK review.
Trino
FreeNo published plan breakdown. See the Trino review.
Which should you pick?
Choose Trino if
- You need federated querying.
- You want to start without paying.
- You also want connector architecture.
Questions people ask
- Is Keil MDK or Trino better?
- Neither clearly leads. Keil MDK 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, Keil MDK or Trino?
- Keil MDK starts at Free and Trino at Free.
- Does Keil MDK or Trino run on more platforms?
- Both run on Web, so platform support will not decide this one for you.
- Can I use Keil MDK for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Keil MDK best used for?
- Keil MDK is most often used for embedded software development, arm microcontroller programming, professional development environments. Of those, embedded software development and arm microcontroller programming are not what Trino is typically brought in for.
- What can Keil MDK do that Trino cannot?
- Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.
Answered from the vendors’ own pages
Keil MDK: Does Keil MDK have a free version?
Yes, Keil MDK Community Edition is free for non-commercial projects. Essential and Professional editions are available as monthly or annual subscriptions.
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.
Keil MDK: How much do Keil MDK paid editions cost?
Specific pricing for Essential and Professional editions is not published on the main site. Rates are available from the Arm Developer Tools store or by contacting Arm sales.
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.
Trino: 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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- Trino vs CLion
- Trino vs GNAT Pro
- Trino vs Rust
- Trino vs Visual Studio
- Trino vs Penpot
- Trino vs Depot
- Trino vs Ansible
- Trino vs Helix
- Trino vs Atlantis
- Trino vs Jitsu
- Trino vs StackBlitz
- Trino vs Pants Build
- Trino vs Swagger UI
- Trino vs Yarn
- Trino vs Buildkite
- Trino vs Asana
- Trino vs ClickUp
- Trino vs Figma
- Trino vs Linear
- Trino vs Thought Machine
- Trino vs Apache Hadoop
- Trino vs Safari
- Trino vs Apache Spark
- Trino vs etcd
- Trino vs Honeycomb
- Trino vs Istio
- Trino vs Postgres
- Trino vs Netlify
- Trino vs Productboard
- Trino vs Sentry
- Trino vs Aha!
- Trino vs Attio
- Trino vs Canny
