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Technology · head to head

Trino vs Zeta

Trino logo

Trino

Technology

A distributed SQL engine that queries data where it already lives, across object storage, warehouses and operational databases.

From
Free
Rated
-
Full reviewWebsite
Zeta logo

Zeta

Technology

Cloud native credit card processing and core banking from Bhavin Turakhia's Zeta

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Trino has a free tier, so it costs nothing to try first.
  • 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.; Zeta it competes against card processors with decades of production track record, and in card processing an outage is a public event, so a shorter operational history is a genuine risk factor rather than a technicality.
  • They diverge on capability: Trino covers Federated querying, Zeta covers Tachyon card processing.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Trino and Zeta actually diverge.

Attributes where Trino and Zeta differ
AttributeTrinoZeta
Starting priceFreeOn request
Pricing modelopen-sourcequote
Free tierYesNo
PlatformsWebWeb, API, Cloud, iOS, Android

Identical on both: user rating (Not yet rated), category (Technology).

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 Zeta

  • Tachyon card processing
  • Real time authorisation
  • Rewards and offers engine
  • Core banking modules
  • Programme configuration
  • Mobile and web SDKs
  • Fraud and controls
  • Cloud deployment

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 Zeta
  • Serving a BI tool a single SQL endpoint over an estate that is actually several separate storage systemsnot Zeta
  • Querying Iceberg or Delta tables on object storage interactively, as the compute layer of a lakehousenot Zeta
  • Investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for itnot Zeta

Zeta

  • A United States bank whose card platform makes launching a new rewards product a multi quarter vendor projectnot Trino
  • An issuer that wants authorisation level controls and real time data rather than end of day filesnot Trino
  • A large fintech launching a credit card programme at scale with custom product logicnot Trino
  • A bank consolidating card and deposit processing onto one modern platformnot 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.

Zeta

  • It competes against card processors with decades of production track record, and in card processing an outage is a public event, so a shorter operational history is a genuine risk factor rather than a technicality.
  • Contracts are enterprise scale and quoted with volume minimums, which puts it out of reach of small issuers who would otherwise benefit most from modern tooling.
  • A card portfolio migration runs twelve to twenty four months at minimum, during which the issuer runs two platforms and pays for both.
  • Zeta is a processor rather than a licence holder, so network membership, BIN sponsorship and regulatory obligations remain entirely with the issuer.
  • Public references for large live United States production volumes are fewer than the announcements imply, so diligence should insist on active account counts and uptime history rather than partnership press releases.

Pricing, plan by plan

Trino

Free

No published plan breakdown. See the Trino review.

Zeta

On request
  • Tachyon platform$undefined/year
    • Quoted per institution, commonly on active accounts or transaction volume
    • Implementation for a card portfolio migration measured in quarters to years
    • Minimum volume commitments typical on enterprise contracts

Which should you pick?

Choose Trino if

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

Choose Zeta if

  • You need tachyon card processing.
  • You work on Web, API, Cloud, iOS, Android.
  • You also want real time authorisation.
Zeta review

Questions people ask

Is Trino or Zeta better?
Neither clearly leads. Trino starts at Free and Zeta at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Trino or Zeta?
Trino has a free tier; the other does not. Paid plans start at Free for Trino and On request for Zeta.
Does Trino or Zeta run on more platforms?
Trino runs on Web. Zeta runs on Web, API, Cloud, iOS, Android.
Can I use Trino for free?
Yes. Trino has a free tier, so you can try it without paying. Zeta starts at On request.
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 Zeta is typically brought in for.
What can Trino do that Zeta cannot?
Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution. Zeta covers Tachyon card processing, Real time authorisation, Rewards and offers engine, Core banking modules.

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.

Zeta: Which Zeta is this?

The banking technology company founded by Bhavin Turakhia, which builds the Tachyon card processing and core banking platform. Not any similarly named payroll or accounting product.

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.

Zeta: What is its strongest use case?

United States credit card issuing and processing, where legacy platforms make product changes slow and expensive.

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.

Zeta: Does Zeta provide the BIN or licence?

No. It processes. Network membership, BIN sponsorship and regulatory obligations stay with the issuer.

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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