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Developer Tools · head to head

Backstage vs Trino

Backstage logo

Backstage

Developer Tools

Open source internal developer portal framework created and open sourced by Spotify

From
Free
Free plan
Yes
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

The short version

  • Each has a real cost: Backstage backstage is a framework rather than a product: there is no supported turnkey install, so getting to a usable portal means a TypeScript and React project your team owns, hosts and upgrades forever.; 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: Backstage covers Software catalogue, Trino covers Federated querying.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Backstage and Trino actually diverge.

Attributes where Backstage and Trino differ
AttributeBackstageTrino
Pricing modelOpen source, no licence feeopen-source
PlatformsWeb, Self-hosted, Linux, Docker, KubernetesWeb
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 Backstage

  • Software catalogue
  • Software templates
  • TechDocs
  • Plugin architecture
  • Kubernetes plugin
  • Search
  • Entity ownership model
  • Auth provider integrations

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.

Backstage

  • An engineering organisation past roughly a hundred services where nobody can reliably answer who owns a given service at two in the morningnot Trino
  • A platform team enforcing golden paths, so a new service is scaffolded with logging, CI and security defaults already wired innot Trino
  • A company consolidating scattered READMEs and Confluence pages into docs that live beside the code and cannot silently rot unnoticednot Trino
  • A regulated business that needs an auditable register of every running service, its owner and its data classificationnot Trino

Trino

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

Where each one falls short

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

Backstage

  • Backstage is a framework rather than a product: there is no supported turnkey install, so getting to a usable portal means a TypeScript and React project your team owns, hosts and upgrades forever.
  • Upstream releases move quickly and plugin APIs have broken across major versions, so a customised deployment accumulates upgrade debt and teams routinely fall months behind on versions they cannot cheaply catch up on.
  • The catalogue is only as good as the YAML descriptors engineers remember to write; without enforcement the register drifts out of date, and a developer portal nobody trusts is abandoned faster than one that never existed.
  • Community plugin quality varies sharply, with many unmaintained or pinned to old core versions, so the plugin that made the business case may be the one blocking your next upgrade.
  • Spotify Portal, the packaged commercial route, publishes no price at all and is quoted as a custom annual subscription, so the only cost you can actually forecast up front is the self-hosted one, which is the option with the largest hidden staffing bill.

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

Backstage

Free
  • Backstage (open source)Free
    • Apache 2.0 licence
    • Software catalogue, templates, TechDocs and search
    • Full plugin ecosystem
  • Spotify Portal for Backstage$undefined/year
    • Packaged commercial distribution from Spotify
    • Spotify premium plugins including Soundcheck and Insights
    • Simplified setup and managed upgrade path

Trino

Free

No published plan breakdown. See the Trino review.

Which should you pick?

Choose Backstage if

  • You need software catalogue.
  • You want to start without paying.
  • You work on Web, Self-hosted, Linux, Docker, Kubernetes.
  • You also want software templates.

Choose Trino if

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

Questions people ask

Is Backstage or Trino better?
Neither clearly leads. Backstage 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, Backstage or Trino?
Backstage starts at Free and Trino at Free.
Does Backstage or Trino run on more platforms?
Backstage runs on Web, Self-hosted, Linux, Docker, Kubernetes. Trino runs on Web.
Can I use Backstage for free?
Both have a free tier, so you can try either at no cost before committing.
What is Backstage best used for?
Backstage is most often used for an engineering organisation past roughly a hundred services where nobody can reliably answer who owns a given service at two in the morning, a platform team enforcing golden paths, so a new service is scaffolded with logging, ci and security defaults already wired in, a company consolidating scattered readmes and confluence pages into docs that live beside the code and cannot silently rot unnoticed, a regulated business that needs an auditable register of every running service, its owner and its data classification. Of those, an engineering organisation past roughly a hundred services where nobody can reliably answer who owns a given service at two in the morning and a platform team enforcing golden paths, so a new service is scaffolded with logging, ci and security defaults already wired in are not what Trino is typically brought in for.
What can Backstage do that Trino cannot?
Backstage covers Software catalogue, Software templates, TechDocs, Plugin architecture. Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.

Answered from the vendors’ own pages

Backstage: Is Backstage free?

The project is Apache 2.0 with no licence fee. The real cost is engineering time; teams commonly dedicate one to two engineers permanently to running it.

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.

Backstage: Do I need to write code to use it?

Yes. Configuring and extending a Backstage application is a TypeScript and React project. This is the single most common misjudgement buyers make.

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.

Backstage: What is Spotify Portal for Backstage?

A commercial distribution from Spotify with premium plugins and support, generally available since October 2025 and sold as a quoted annual subscription with no published price.

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.

Backstage: Who owns the project?

Spotify created and open sourced it; it is now a CNCF project, so the upstream roadmap is not solely Spotify controlled.

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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