Developer Tools · head to head
Blacksmith vs Trino

Blacksmith
Developer Tools
2x faster GitHub Actions with 60% cost savings
- 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: Blacksmith per-minute pricing model requires estimating usage to predict costs; 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: Blacksmith covers Bare metal runners, Trino covers Federated querying.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Blacksmith and Trino actually diverge.
| Attribute | Blacksmith | Trino |
|---|---|---|
| Pricing model | Unknown | open-source |
| Platforms | GitHub Actions, Linux, Windows, macOS | Web |
| Category | Developer Tools | Technology |
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 Blacksmith
- Bare metal runners
- Multiple OS support
- ARM support
- Docker layer caching
- Sticky disks
- GitHub Actions observability
- Free tier
- Static IPs
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.
Blacksmith
- Replacing GitHub Actions runners with faster, cheaper infrastructurenot Trino
- Accelerating CI build times for organizations with heavy CI loadnot Trino
- Reducing cloud spend on GitHub Actions by 60% or morenot Trino
- Supporting ARM architecture builds without GitHub runnersnot Trino
Trino
- Ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline firstnot Blacksmith
- Serving a BI tool a single SQL endpoint over an estate that is actually several separate storage systemsnot Blacksmith
- Querying Iceberg or Delta tables on object storage interactively, as the compute layer of a lakehousenot Blacksmith
- Investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for itnot Blacksmith
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Blacksmith
- Per-minute pricing model requires estimating usage to predict costs
- macOS M4 pricing ($0.08/min) is significantly higher than GitHub Actions
- Docker layer caching and sticky disks are paid add-ons at $0.50/GB/mo
- Static IP add-on costs $100/IP/mo
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
Blacksmith
Free- Ubuntu x64$0.004/minute
- 3,000 free minutes per month
- 2x faster hardware
- 4x faster cache downloads
- Ubuntu ARM$0.0025/minute
- 3,000 free minutes per month
- 2x faster hardware
- 4x faster cache downloads
- Windows x64$0.008/minute
- 3,000 free minutes per month
- 2x faster hardware
- 4x faster cache downloads
- macOS M4$0.08/minute
- 3,000 free minutes per month
- 2x faster hardware
- 4x faster cache downloads
Trino
FreeNo published plan breakdown. See the Trino review.
Which should you pick?
Choose Blacksmith if
- You need bare metal runners.
- You want to start without paying.
- You work on GitHub Actions, Linux, Windows, macOS.
- You also want multiple os support.
Choose Trino if
- You need federated querying.
- You want to start without paying.
- You also want connector architecture.
Questions people ask
- Is Blacksmith or Trino better?
- Neither clearly leads. Blacksmith 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, Blacksmith or Trino?
- Blacksmith starts at Free and Trino at Free.
- Does Blacksmith or Trino run on more platforms?
- Blacksmith runs on GitHub Actions, Linux, Windows, macOS. Trino runs on Web.
- Can I use Blacksmith for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Blacksmith best used for?
- Blacksmith is most often used for replacing github actions runners with faster, cheaper infrastructure, accelerating ci build times for organizations with heavy ci load, reducing cloud spend on github actions by 60% or more, supporting arm architecture builds without github runners. Of those, replacing github actions runners with faster, cheaper infrastructure and accelerating ci build times for organizations with heavy ci load are not what Trino is typically brought in for.
- What can Blacksmith do that Trino cannot?
- Blacksmith covers Bare metal runners, Multiple OS support, ARM support, Docker layer caching. Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.
Answered from the vendors’ own pages
Blacksmith: How much do Blacksmith runners cost compared to GitHub Actions?
Blacksmith offers 60-75% cost savings depending on OS. Ubuntu x64 costs $0.004/min vs GitHub at $0.012/min. All plans include 3,000 free minutes monthly.
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.
Blacksmith: Can I use Docker layer caching with Blacksmith?
Yes, Docker layer caching is available as an add-on at $0.50/GB/mo. Managed Docker layer persistence is included with the base service.
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.
Blacksmith: What is the SLA for Enterprise plans?
Enterprise Blacksmith plans include a 99.9% SLA guarantee along with 24/7 priority support, dedicated Slack channels, white-glove onboarding, and CI optimization support.
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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- Trino vs ClickUp
- Trino vs Figma
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- Trino vs Thought Machine
- Trino vs Apache Hadoop
- Trino vs Safari
- Trino vs Apache Spark
- Trino vs etcd
- Trino vs Honeycomb
- Trino vs Istio
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