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Developer Tools · head to head

Spacelift vs Trino

Spacelift logo

Spacelift

Developer Tools

Infrastructure-as-code orchestration for Terraform, OpenTofu, Pulumi and Kubernetes

From
Free
Free plan
Yes
Full reviewWebsite
Trino logo

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
Full reviewWebsite

The short version

  • Each has a real cost: Spacelift users are unlimited and private workers are metered, so deployment concurrency rather than headcount drives the bill, which inverts how most engineering budgets are built and is easy to under-forecast.; 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: Spacelift covers Multi-tool orchestration, Trino covers Federated querying.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Spacelift and Trino actually diverge.

Attributes where Spacelift and Trino differ
AttributeSpaceliftTrino
Pricing modelBy private worker and tier, not by useropen-source
PlatformsWeb, Self-hosted, CloudWeb
CategoryDeveloper ToolsTechnology

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 Spacelift

  • Multi-tool orchestration
  • Policy as code
  • Private workers
  • Spaces
  • Blueprints
  • Drift detection

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.

Spacelift

  • Platform teams running infrastructure changes through approval gates rather than through application CInot Trino
  • Organisations standardising Terraform and OpenTofu across many teams with policy enforcementnot Trino
  • Estates needing private runners so cloud credentials never leave the networknot Trino
  • Teams wanting drift detection and reconciliation rather than plan-time checks alonenot Trino

Trino

  • Ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline firstnot Spacelift
  • Serving a BI tool a single SQL endpoint over an estate that is actually several separate storage systemsnot Spacelift
  • Querying Iceberg or Delta tables on object storage interactively, as the compute layer of a lakehousenot Spacelift
  • Investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for itnot Spacelift

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Spacelift

  • Users are unlimited and private workers are metered, so deployment concurrency rather than headcount drives the bill, which inverts how most engineering budgets are built and is easy to under-forecast.
  • There is no affordable paid entry point. The free tier stops at two users and the next tier is a five-figure commitment with nothing in between.
  • Three of the five tiers are quote-only, so a shortlist cannot be costed without entering a sales process with each vendor on it.
  • The self-hosted build lags the hosted one, has no public worker pool and lacks the Azure and Google Cloud integrations available in the SaaS product, with OIDC federation offered as the workaround.
  • Stacks, Rego policies, Blueprints, Spaces and Spacelift-managed state are proprietary constructs, so leaving means rebuilding the orchestration layer rather than pointing it at a different runner.

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

Spacelift

Free
  • FreeFree
    • Two users
    • Public workers only
    • No private workers
  • Starter Plus$undefined/year
    • Unlimited users
    • Two public workers
    • One to two private workers
  • Business$undefined/year
    • Unlimited users
    • Three private workers
    • Quoted
  • Enterprise$undefined/year
    • Unlimited users
    • Five to thirty private workers
    • Self-hosted option

Trino

Free

No published plan breakdown. See the Trino review.

Which should you pick?

Choose Spacelift if

  • You need multi-tool orchestration.
  • You want to start without paying.
  • You work on Web, Self-hosted, Cloud.
  • You also want policy as code.
Spacelift review

Choose Trino if

  • You need federated querying.
  • You want to start without paying.
  • You also want connector architecture.
Trino review

Questions people ask

Is Spacelift or Trino better?
Neither clearly leads. Spacelift 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, Spacelift or Trino?
Spacelift starts at Free and Trino at Free.
Does Spacelift or Trino run on more platforms?
Spacelift runs on Web, Self-hosted, Cloud. Trino runs on Web.
Can I use Spacelift for free?
Both have a free tier, so you can try either at no cost before committing.
What is Spacelift best used for?
Spacelift is most often used for platform teams running infrastructure changes through approval gates rather than through application ci, organisations standardising terraform and opentofu across many teams with policy enforcement, estates needing private runners so cloud credentials never leave the network, teams wanting drift detection and reconciliation rather than plan-time checks alone. Of those, platform teams running infrastructure changes through approval gates rather than through application ci and organisations standardising terraform and opentofu across many teams with policy enforcement are not what Trino is typically brought in for.
What can Spacelift do that Trino cannot?
Spacelift covers Multi-tool orchestration, Policy as code, Private workers, Spaces. Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.

Answered from the vendors’ own pages

Spacelift: How is Spacelift priced?

By tier and by private worker count rather than per user. Users are unlimited on every paid plan. The published figure on the pricing page carries no period label, and the FAQ describes the tier as an annual subscription, so confirm the period in writing.

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.

Spacelift: Does it support OpenTofu?

Yes, and Spacelift sponsors the OpenTofu project, which is a substantive hedge for anyone avoiding Terraform under the Business Source Licence.

Trino: 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.

Spacelift: Is there a self-hosted version?

Yes, described as carrying Enterprise functionality, but it is priced on request and lags the hosted product on cloud integrations.

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.

Spacelift: Why not just use the CI system we already have?

That is the real comparison. General purpose CI handles state, drift, approval gates and concurrency control for infrastructure poorly, and whether that is worth a five-figure floor depends on how much infrastructure change your organisation actually ships.

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.

Spacelift: What happens to our pipelines if we leave?

They do not port. Rego policies, Blueprints, Spaces and managed state are Spacelift constructs and the orchestration has to be rebuilt elsewhere.

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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