Technology · head to head
Trino vs Warp
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
Warp
Developer Tools
The terminal reimagined with AI and modern features
- 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.; Warp limited cloud agents access on free tier
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Trino and Warp 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 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 Warp
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 Warp
- Serving a BI tool a single SQL endpoint over an estate that is actually several separate storage systemsnot Warp
- Querying Iceberg or Delta tables on object storage interactively, as the compute layer of a lakehousenot Warp
- Investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for itnot Warp
Warp
- Modern terminal environment for developersnot Trino
- AI-assisted command execution with multiple LLM providersnot Trino
- Multi-agent orchestration and codebase indexingnot Trino
- Agentic development workflowsnot 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.
Warp
- Limited cloud agents access on free tier
- Limited collaboration features on free tier
- Limited cloud conversation storage on free tier
- IME input not properly handled on macOS (discarded during command or Agent output)
- Terminal zoom functionality does not properly resize grid in TUI applications, causing misaligned rendering
- Multi-language (i18n) support missing as of documentation
- Requires macOS 10.14 or later (excludes older Mac hardware)
- Requires Windows 10 build 1903 or later (excludes pre-build 1903 systems)
- Linux requires glibc 2.31 or higher and GPU support (OpenGL ES 3.0+ or Vulkan) for rendering
Pricing, plan by plan
Trino
FreeNo published plan breakdown. See the Trino review.
Warp
FreeNo published plan breakdown. See the Warp 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 Warp better?
- Neither clearly leads. Trino starts at Free and Warp at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Trino or Warp?
- Trino starts at Free and Warp at Free.
- Does Trino or Warp run on more platforms?
- Trino runs on Web. Warp runs on macOS, Windows, Linux.
- 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 Warp is typically brought in for.
- What can Trino do that Warp 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.
Warp: What is the pricing model?
Usage-based, priced per agent run. Qualifying orgs get $10k of factory usage during closed early access.
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.
Warp: Where does our data live?
Data lives wherever you choose - Warp's cloud, or fully self-hosted inside your own VPC, under your existing retention and compliance rules.
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.
Warp: What is included in the free trial?
Get up to $10,000 in free factory usage during early access.
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.
Related pages
Other head to heads
- 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
- Trino vs Visual Studio Code
- Trino vs ESLint
- Trino vs pnpm
- Trino vs Turborepo
- Trino vs Helix
- Trino vs Claude Code
- Trino vs Cody
- Trino vs Fig
- Trino vs Sweep
- Trino vs GitHub Copilot
- Trino vs Penpot
- Trino vs Rust
- Trino vs Ona (formerly Gitpod)
- Trino vs GNU Emacs
- Trino vs Keil MDK
- Trino vs Vite
- Trino vs Bazel
- Trino vs Daytona
- Warp vs Asana
- Warp vs ClickUp
- Warp vs Figma
- Warp vs Linear
- Warp vs Thought Machine
- Warp vs Apache Hadoop
- Warp vs Safari
- Warp vs Apache Spark
- Warp vs etcd
- Warp vs Honeycomb
- Warp vs Istio
- Warp vs Postgres
- Warp vs Netlify
- Warp vs Productboard
- Warp vs Sentry
- Warp vs Aha!
- Warp vs Attio
- Warp vs Canny
- Warp vs Visual Studio Code
- Warp vs ESLint
- Warp vs pnpm
- Warp vs Turborepo
- Warp vs Helix
- Warp vs Claude Code
- Warp vs Cody
- Warp vs Fig
- Warp vs Sweep
- Warp vs GitHub Copilot
- Warp vs Penpot
- Warp vs Rust
- Warp vs Ona (formerly Gitpod)
- Warp vs GNU Emacs
- Warp vs Keil MDK
- Warp vs Vite
- Warp vs Bazel
- Warp vs Daytona