Process.Science
Process.Science: A broad process-mining suite for teams pairing operational analytics with industry content. Ranked #10 of 29 in Process Mining Software by our editors (8.2/10); pricing: Pricing on request · 30-day trial; best for teams wanting analytics with industry process content.
At a glance
- Editor score8.2 / 10
- PricingPricing on request · 30-day trial
- Best forTeams wanting analytics with industry process content
- Conformance checkingYes
- Facts checked19 Sep 2026
Where it wins
- Discovery, conformance, root-cause analysis, and monitoring in one suite
- Connects with Power BI, Qlik Sense, Tableau, ERP, ITSM, and developer tools
- Industry content packs and AI-powered self-service analysis support faster exploration
Where it doesn't
- Pricing requires contact with sales
- Plan differences center mainly on the number of custom visuals
- Its broad feature set may exceed the needs of narrow process-monitoring teams
Our verdict on Process.Science
Process.Science is process-mining software for medium-sized companies and enterprises seeking visibility into operational workflows. It analyzes event-log data from ERP, ITSM, and other systems, with process discovery, conformance checking, bottleneck and root-cause analysis, compliance monitoring, dashboards, and SLA monitoring. Deployment supports web and self-hosted environments, while real-time data refresh and ERP connectors suit organizations that need current process views across business systems.
Pricing is available through contact with sales. The published plans show AppSource with 1 custom visual and Enterprise with 8 custom visuals; both include 9 predefined report pages, predefined PPIs and KPIs, Event Log Transformer, and industry-specific content packs. A 30-day proof-of-concept or trial provides a defined evaluation period. Integration is a major fit factor: Process.Science connects with Microsoft Power BI, Qlik Sense, Tableau, SAP, SAP Ariba, Oracle, Microsoft Dynamics, Jira Service Management, ServiceNow, and Azure DevOps. That combination makes it relevant for teams that want process analysis inside an existing business-intelligence or enterprise-application landscape.
The standout strength is breadth. Alongside interactive process graphs and dashboards, the product combines SQL SSIS data transformation, content packs, AI-powered self-service analysis, conformance checking, and process monitoring. These capabilities support both exploratory analysis and ongoing operational oversight rather than a single narrow workflow. Teams wanting a wide process-mining toolkit with industry-oriented content should consider it, especially when integration with established analytics platforms matters. Teams seeking a narrowly focused monitoring tool or transparent self-serve pricing should look for an alternative with a simpler scope or more publicly defined commercial model.
Questions about Process.Science
Is there a free trial of Process.Science? Yes: a 30-day free trial.
What does Process.Science run on? Web. It runs in the cloud and self-hosted.
What does Process.Science integrate with? 10 integrations, including Microsoft Power BI, Qlik Sense, Tableau, SAP and SAP Ariba.
Your product? Our editors can test Process.Science in depth and publish a review, labelled as paid · from $149/mo →
Process.Science pricing
All 2 Process.Science plans and prices →
Process.Science fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Conformance checking | Yes |
| Root-cause analysis | Yes |
| Process monitoring | Yes |
| Data refresh | Real_time |
| Deployment model | Hybrid |
| Included events | Not verified |
| ERP connectors | Yes |
| Free trial | 30 days |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Integrations | 10 integrations: Microsoft Power BI, Qlik Sense, Tableau, SAP, SAP Ariba, Oracle … |
| Pricing | Pricing on request · 30-day trial (source) |
| Website | process-science.com |
| Facts checked | 19 Sep 2026 |
Process.Science integrations
Process.Science lists 10 integrations on its own site.
- Microsoft Power BI
- Qlik Sense
- Tableau
- SAP
- SAP Ariba
- Oracle
- Microsoft Dynamics
- Jira Service Management
- ServiceNow
- Azure DevOps
Alternatives to Process.Science
- Celonis Process Mining PlatformA broad process intelligence platform with a free starting plan and enterprise focus.9.4
- Apromore Process MiningA broad process mining suite with flexible analysis, monitoring, and integration options.9.2
- ABBYY TimelineA broad process mining suite for organizations needing hybrid analysis and monitoring.8.9
See all Process.Science alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Nov 2026
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