IBM Operational Decision Manager vs Progress Corticon
IBM Operational Decision Manager
ibm.com
Progress Corticon
progress.comSide by side
| Figure | IBM Operational Decision Manager | Progress Corticon |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 8 | 0 |
| Spec score · Decision Management Software | 6.3 (#8) | 7.8 (#5) |
| Spec score · Business Rules Management Software | 6.3 (#16) | 7.8 (#10) |
Plans
IBM Operational Decision Manager
- ODM server perpetualPriced on request
- ODM server monthly rentalPriced on request
- ODM server express perpetualPriced on request
- ODM server express monthly rentalPriced on request
- ODM for IBM z/OS perpetualPriced on request
- ODM for IBM z/OS monthly rentalPriced on request
- ODM on cloudPriced on request
- ODM on cloud expressPriced on request
In their own words
IBM Operational Decision Manager
IBM Operational Decision Manager has no write-up on Specifiction yet; its figures are above.
Progress Corticon
Progress Corticon is a decision automation platform for managing complex business rules and delivering consistent, explainable outcomes as requirements change. In Corticon Studio, business staff can build rules using spreadsheet-style and visual modeling tools without coding. Teams can test and simulate decisions against real scenarios before deployment, then make decision services available through standard APIs. Corticon connects to relational databases and web services with built-in data access or custom connectors. It can run on premises, in cloud or hybrid environments; Corticon Server runs rules as a web service or in process for Java and .NET applications. Corticon for JavaScript also runs in serverless functions on AWS and Azure and in client-side web and mobile apps. Versioning, traceability, and decision rationale support governance and review. Explicit rules can validate and constrain AI recommendations, while AI assistance can generate rules and test cases or explain existing rule assets. Pricing is on request, with no free plan. A trial can be requested; the pricing note lists a 90-day trial.