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Developer Tools · head to head

Hookdeck vs Trino

Hookdeck logo

Hookdeck

Developer Tools

Event gateway that receives, queues, retries and replays inbound webhooks

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: Hookdeck pricing meters delivered events, so fan-out multiplies the bill: one inbound event routed to four services counts as four deliveries.; 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: Hookdeck covers Ingest and persist, Trino covers Federated querying.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Hookdeck and Trino actually diverge.

Attributes where Hookdeck and Trino differ
AttributeHookdeckTrino
Pricing modelPer month by delivered event countopen-source
PlatformsWeb, Linux, macOS, WindowsWeb
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 Hookdeck

  • Ingest and persist
  • Automatic retries
  • Filters and fan-out
  • Transformations
  • Local development CLI
  • Rate limiting

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.

Hookdeck

  • A payments integration where losing a Stripe event during a deploy causes an order to go unfulfillednot Trino
  • Fanning one provider webhook out to several internal services without each subscribing separatelynot Trino
  • Debugging a partner integration by replaying the exact failing payload after shipping a fixnot Trino
  • Receiving production-shaped webhooks on a developer laptop without running a public tunnelnot Trino

Trino

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

Where each one falls short

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

Hookdeck

  • Pricing meters delivered events, so fan-out multiplies the bill: one inbound event routed to four services counts as four deliveries.
  • Free-tier retention is three days, which is shorter than the time it typically takes to notice a failing integration, so the payloads needed for a replay are often already gone.
  • It becomes a single point of failure in front of every third-party integration, and an outage there means every provider webhook queues or fails at once.
  • The transformation layer runs JavaScript in a constrained environment, so anything that needs a database lookup or an external call has to happen downstream instead.
  • For a team already running Kafka or SQS the value is mostly the console and the replay UI, which is a hard cost to justify against infrastructure they already operate.

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

Hookdeck

Free
  • DeveloperFree
    • Up to ten thousand events per month
    • Three-day retention
    • One user
  • Team$39/month
    • Ten thousand events included
    • Unlimited users
    • Pay as you go metering above the included events
  • Growth$499/month
    • Ten thousand events included plus metered usage
    • Thirty-day retention
    • Uptime and latency SLAs
  • Enterprise$undefined/year
    • Negotiated event volume
    • Custom retention
    • Dedicated support

Trino

Free

No published plan breakdown. See the Trino review.

Which should you pick?

Choose Hookdeck if

  • You need ingest and persist.
  • You want to start without paying.
  • You work on Web, Linux, macOS, Windows.
  • You also want automatic retries.
Hookdeck 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 Hookdeck or Trino better?
Neither clearly leads. Hookdeck 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, Hookdeck or Trino?
Hookdeck starts at Free and Trino at Free.
Does Hookdeck or Trino run on more platforms?
Hookdeck runs on Web, Linux, macOS, Windows. Trino runs on Web.
Can I use Hookdeck for free?
Both have a free tier, so you can try either at no cost before committing.
What is Hookdeck best used for?
Hookdeck is most often used for a payments integration where losing a stripe event during a deploy causes an order to go unfulfilled, fanning one provider webhook out to several internal services without each subscribing separately, debugging a partner integration by replaying the exact failing payload after shipping a fix, receiving production-shaped webhooks on a developer laptop without running a public tunnel. Of those, a payments integration where losing a stripe event during a deploy causes an order to go unfulfilled and fanning one provider webhook out to several internal services without each subscribing separately are not what Trino is typically brought in for.
What can Hookdeck do that Trino cannot?
Hookdeck covers Ingest and persist, Automatic retries, Filters and fan-out, Transformations. Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.

Answered from the vendors’ own pages

Hookdeck: Is there a free plan?

Yes, ten thousand events a month with three-day retention and one user.

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.

Hookdeck: How is usage counted?

By delivered events, so a single inbound webhook fanned out to three destinations counts as three.

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.

Hookdeck: Can I replay a failed webhook?

Yes, individually or in bulk from the console, with the original payload.

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.

Hookdeck: Does it work for outbound webhooks too?

Yes, the same queueing, retry and observability applies to webhooks you send.

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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