Technology · head to head
Trino vs Visual Studio

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

Visual Studio
Developer Tools
IDE for .NET and C++ development on Windows
- From
- Free
- Free plan
- Yes
The short version
- Each has a real cost: 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.; Visual Studio community edition is free only for individual developers, classroom use, academic research and open-source contribution, not general commercial use
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Trino and Visual Studio actually diverge.
| Attribute | Trino | Visual Studio |
|---|---|---|
| Pricing model | open-source | freemium |
| Category | Technology | Developer Tools |
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 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
Only in Visual Studio
Nothing recorded that Trino does not also cover.
What people use each for
The jobs each tool is most often brought in to do.
Trino
- Ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline firstnot Visual Studio
- Serving a BI tool a single SQL endpoint over an estate that is actually several separate storage systemsnot Visual Studio
- Querying Iceberg or Delta tables on object storage interactively, as the compute layer of a lakehousenot Visual Studio
- Investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for itnot Visual Studio
Visual Studio
- Managing complex, large-scale projects across multiple platformsnot Trino
- Commercial development in small businessesnot Trino
- DevOps and automated deployment workflowsnot Trino
- Windows/SQL Server developer and tester rolesnot Trino
- Short-term or month-to-month IDE access needsnot Trino
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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.
Visual Studio
- Community edition is free only for individual developers, classroom use, academic research and open-source contribution, not general commercial use
- Monthly subscriptions are $45 per user per month for Professional and $250 per user per month for Enterprise, and do not include perpetual use rights the way annual Standard subscriptions do
- A standalone perpetually licensed Visual Studio Professional 2022 costs $499 as a one-time purchase, separate from the subscription tiers
Pricing, plan by plan
Trino
FreeNo published plan breakdown. See the Trino review.
Visual Studio
FreeNo published plan breakdown. See the Visual Studio 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 Trino or Visual Studio better?
- Neither clearly leads. Trino starts at Free and Visual Studio at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Trino or Visual Studio?
- Trino starts at Free and Visual Studio at Free.
- Does Trino or Visual Studio run on more platforms?
- Both run on Web, so platform support will not decide this one for you.
- Can I use Trino for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Trino best used for?
- Trino is most often used for ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline first, serving a bi tool a single sql endpoint over an estate that is actually several separate storage systems, querying iceberg or delta tables on object storage interactively, as the compute layer of a lakehouse, investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for it. Of those, ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline first and serving a bi tool a single sql endpoint over an estate that is actually several separate storage systems are not what Visual Studio is typically brought in for.
- What can Trino do that Visual Studio cannot?
- Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.
Answered from the vendors’ own pages
Trino: 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.
Visual Studio: What are the pricing differences between subscription types?
Standard subscriptions include access to more benefits, such as Azure dev/test pricing, monthly Azure individual credit, software and download access, services, training, and support. Monthly subscriptions offer flexibility but fewer benefits.
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.
Visual Studio: Are discounts available for startups?
There aren't any discounts available to start-ups, however an unlimited number of users within an organization can use Visual Studio Community for specific scenarios like open source work.
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.
Visual Studio: Who can use Visual Studio Community for free?
In non-enterprise organizations, up to five users can use it. Enterprise organizations (greater than 250 PCs or greater than $1M annual revenue) cannot use it beyond academic/open-source scenarios.
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.
Visual Studio: What's the renewal pricing structure?
Enterprise standard renews at $214.09/month (after initial $499.92); Professional at $66.59/month (after $99.99).
SourceTrino: 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.
Related pages
More on Visual Studio
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