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Automation Integration · head to head

Kogito vs Relevance AI

Kogito logo

Kogito

Automation Integration

Cloud-native business automation for Quarkus, now an Apache KIE component

From
Free
Rated
-
Full reviewWebsite
Relevance AI logo

Relevance AI

Automation Integration

Specialist AI Agents for Every Task

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Kogito has a free tier, so it costs nothing to try first.
  • Each has a real cost: Kogito kogito is a developer framework, not a product, so there is no equivalent of Camunda Operate for business users and any process monitoring interface has to be built or bought separately.; Relevance AI no published standard pricing tiers or plans
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Kogito and Relevance AI actually diverge.

Attributes where Kogito and Relevance AI differ
AttributeKogitoRelevance AI
Starting priceFreeOn request
Pricing modelOpen source, no licence feeusage-based
Free tierYesNo
PlatformsLinux, Docker, KubernetesWeb

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

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 Kogito

  • Build-time code generation
  • Quarkus and Spring Boot support
  • DMN decision services
  • Drools rules engine
  • Serverless workflow
  • Kubernetes operator

Only in Relevance AI

Nothing recorded that Kogito does not also cover.

What people use each for

The jobs each tool is most often brought in to do.

Kogito

  • A Quarkus microservice that must expose a DMN decision model as a REST endpoint with millisecond start-upnot Relevance AI
  • Serverless deployment of business rules where a traditional BPM server would be far too heavynot Relevance AI
  • A Red Hat shop that wants the upstream of Red Hat process automation with the option of a supported build laternot Relevance AI
  • Replacing hand-coded conditional logic with DMN tables that business analysts can review and amendnot Relevance AI

Relevance AI

  • AI agent platform for automating business processes with LLMsnot Kogito
  • Low-code automation and workflow orchestration using language modelsnot Kogito

Where each one falls short

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

Kogito

  • Kogito is a developer framework, not a product, so there is no equivalent of Camunda Operate for business users and any process monitoring interface has to be built or bought separately.
  • Long-running stateful processes need external persistence and messaging that you configure and operate yourself, which removes much of the convenience a BPM server normally provides.
  • It sits inside the Apache KIE incubator, and incubating status means graduation is not guaranteed and the project name and artefact coordinates have already changed once.
  • Red Hat is by far the dominant contributor despite ASF stewardship, so the roadmap follows Red Hat product priorities rather than community demand.
  • Documentation is spread across legacy JBoss sites, the old Kogito site and the new Apache KIE site, and search results routinely land on outdated versions, which costs real time during adoption.

Relevance AI

  • No published standard pricing tiers or plans
  • Pay-per-task model pricing varies significantly by AI model selection
  • Enterprise quotes require direct contact with sales
  • Task costs range from 0.01 to 0.11 USD depending on model used

Pricing, plan by plan

Kogito

Free
  • KogitoFree
    • Apache 2.0 licence
    • Apache KIE incubating project
    • No usage limits

Relevance AI

On request

No published plan breakdown. See the Relevance AI review.

Which should you pick?

Choose Kogito if

  • You need build-time code generation.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes.
  • You also want quarkus and spring boot support.
Kogito review

Choose Relevance AI if

Nothing in the data separates Relevance AI from Kogito on the points above - pick on price and on how each one feels to use.

Relevance AI review

Questions people ask

Is Kogito or Relevance AI better?
Neither clearly leads. Kogito starts at Free and Relevance AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Kogito or Relevance AI?
Kogito has a free tier; the other does not. Paid plans start at Free for Kogito and On request for Relevance AI.
Does Kogito or Relevance AI run on more platforms?
Kogito runs on Linux, Docker, Kubernetes. Relevance AI runs on Web.
Can I use Kogito for free?
Yes. Kogito has a free tier, so you can try it without paying. Relevance AI starts at On request.
What is Kogito best used for?
Kogito is most often used for a quarkus microservice that must expose a dmn decision model as a rest endpoint with millisecond start-up, serverless deployment of business rules where a traditional bpm server would be far too heavy, a red hat shop that wants the upstream of red hat process automation with the option of a supported build later, replacing hand-coded conditional logic with dmn tables that business analysts can review and amend. Of those, a quarkus microservice that must expose a dmn decision model as a rest endpoint with millisecond start-up and serverless deployment of business rules where a traditional bpm server would be far too heavy are not what Relevance AI is typically brought in for.
What can Kogito do that Relevance AI cannot?
Kogito covers Build-time code generation, Quarkus and Spring Boot support, DMN decision services, Drools rules engine.

Answered from the vendors’ own pages

Kogito: Is Kogito still maintained?

Yes. It is an Apache KIE incubating project with active commits, with Red Hat as the dominant contributor.

Relevance AI: What is Relevance AI's pricing model?

Relevance AI uses a pay-per-task model where costs vary by AI model selected. Average cost per task is approximately 0.09 USD, with actual costs ranging from 0.01 to 0.11 USD depending on which model the system routes to. The platform automatically selects the lowest-cost model that meets performance requirements.

Source
Kogito: How does it differ from jBPM?

Kogito compiles process and rule definitions into application code at build time; jBPM was a runtime engine that loads definitions.

Relevance AI: How much do Relevance AI tasks cost?

Task costs depend on model selection. Example usage shows customers spending 11800 USD monthly while processing 1.24 million tasks. For enterprise custom pricing, users must book a demo or contact the sales team.

Source
Kogito: Does it need Quarkus?

It is designed for Quarkus and supports Spring Boot; both are Java frameworks rather than a standalone server.

Kogito: Is there commercial support?

Not from Apache. Red Hat sells supported builds of this lineage as part of its subscriptions.

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