Apromore Process Mining vs ProDiscovery
Apromore Process Mining
apromore.comProDiscovery
puzzledata.comSide by side
| Figure | Apromore Process Mining | ProDiscovery |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Process Mining Software | 8.1 (#3) | 7.7 (#14) |
| Spec score · Workflow Analytics | 8.1 (#3) | 7.7 (#9) |
| Founded | 2009 | 2015 |
| Headquarters | Melbourne, Australia | Seoul, South Korea |
| Predictive monitoring | Machine learning models can predict outcomes such as SLA violations, remaining time, next activity and case continuation. | AI and machine learning models predict process flows, remaining time, delays, and anomalies using process data and real-time data. |
| Process discovery | It discovers process maps and BPMN models from event logs and can show activity frequency and duration overlays. | The product offers BPMN models, more than 30 chart types, process comparison, and customizable UI for process analysis. |
| Purpose | Apromore analyzes business process data to help organizations understand, monitor and simulate changes to their processes. | ProDiscovery analyzes process data, customer behavior data, and other digital footprint data to discover and simulate business processes. |
Plans
In their own words
Apromore Process Mining
Apromore Process Mining analyzes business process data so organizations can understand, monitor, and simulate their processes. It discovers process maps and BPMN models from event logs, with overlays for activity frequency and duration. Teams can filter visually, check conformance, compare processes, and examine model differences. Simulation supports current and hypothetical scenarios on BPMN models; task mining uses desktop application data to reveal routines and potential improvements or automation opportunities. Machine-learning models can predict outcomes such as SLA violations, remaining time, next activity, and case continuation. The Integration Center includes connectors for Salesforce, SAP, ServiceNow, Oracle NetSuite, and Jira, plus JDBC/ODBC access and a REST API. A no-code interface supports scheduled ETL pipelines, transformation mappings, and incremental event-log uploads. Apromore describes SaaS access for Enterprise and cloud, on-premises, or hybrid deployment for its SAP offering. Enterprise is an annual subscription with unlimited logs and process models and technical support; pricing is on request. A 30-day trial and a free version for research or education are also described.
ProDiscovery
ProDiscovery analyzes process records, customer behavior, and other digital traces to map and simulate business processes. It accepts long-form logs with Case, Activity, and Timestamp columns, supplied in CSV or TXT files or imported from databases. The product analyzes collected data rather than collecting event logs itself. Its process analysis includes BPMN models, more than 30 chart types, process comparisons, and a customizable interface. Funnel analysis tracks conversion, drop-off points, and time by customer-journey stage; Variant Flow Analysis uses Sankey charts to show flow direction, size, and sequence relationships. Predictive monitoring applies AI and machine-learning models to process and real-time data to estimate flows, remaining time, delays, and anomalies. PiDi can summarize analysis, explain chart insights in natural language, and suggest visualizations or database queries through chat. ProDiscovery is web-based, supports Windows and macOS through compatible browsers, and is also offered on-premise. Cloud and on-premise pricing are available by inquiry; trial applications are manually reviewed and may take time.