Process.Science vs ProM
Process.Science
process-science.comProM
promtools.orgSide by side
| Figure | Process.Science | ProM |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| Self-hosted | Yes | — |
| Plans published | 2 | 1 |
| Spec score · Process Mining Software | 8.1 (#4) | 7.5 (#16) |
| Purpose | Process.Science provides AI-enhanced process mining that turns process data into actionable insights and integrates with business intelligence platforms. | ProM is an extensible framework for analyzing process execution logs with process mining techniques. |
Plans
In their own words
Process.Science
Process.Science provides AI-enhanced process mining that turns operational data into analysis and improvement opportunities, with integrations for business intelligence tools including Microsoft Power BI, Qlik Sense, and Tableau. Its Power BI solution displays ERP events in interactive process charts, tracks KPIs and PPIs, compares activity with target processes, and supports process-change simulations. Users can explore process variants from an overview down to individual cases and check BPMN conformance. Dashboards can trigger Power Automate flows when critical thresholds are crossed.
Templates cover Purchase-to-Pay, Order-to-Cash, and ITSM, and customers’ BI developers can extend them. Source connections include OData, REST, and direct SQL; named data sources include SAP, Dynamics, Snowflake, Exasol, Oracle, Microsoft SQL Server, and Amazon Redshift. Deployment options include on-premises and major cloud services. The company says its on-premises Power BI option keeps data within the customer’s company. The Power BI page offers a free visual and test drive through Microsoft AppSource, while paid AppSource and Enterprise versions have no listed prices. A 30-day proof of concept includes five concurrent-user licenses and 16 hours of expert support and workshops.
ProM
ProM is a free framework for analyzing process execution logs with process mining techniques. Its plug-ins cover event log filtering, process discovery, conformance checking, and model enhancement. The framework represents event logs, Petri nets, and BPMN diagrams as objects and provides visualizers for those object types. Event logs can be imported and exported in XES and CSV formats. Users can add packages containing objects and plug-ins through the ProM Package Manager. ProM 6.15 is the research release, described as stable for reference in publications. The project recommends ProM Lite 1.4 for users who do not need to publish results; it has fewer features but receives updates. ProM runs on Windows, Linux, and Mac OS. Version 6.15 requires Java 8 or later, though later Java versions have not been extensively tested. The core uses the GPL, while plug-ins typically use the LGPL; third-party software may have different plug-in licenses. Documentation covers objects, plug-ins, visualizers, and packages.