ABBYY Timeline vs Process.Science
ABBYY Timeline
abbyy.com
Process.Science
process-science.comSide by side
| Figure | ABBYY Timeline | Process.Science |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 2 |
| Spec score · Process Mining Software | 8.4 (#2) | 8.1 (#4) |
| Deployment | ABBYY documents Timeline cloud use and self-hosted deployment on Windows and Linux systems. | The transformation software can be integrated on-premises or into Microsoft Azure, Amazon Web Services, and Google Cloud Services. |
| Headquarters | Austin, Texas, USA | Hamburg, Germany |
| Integrations | ABBYY lists technology connections for SAP, Alteryx, and FlexiCapture, and its documentation describes ODBC sources such as Oracle, Microsoft SQL Server, and PostgreSQL. | The Power BI solution describes standard OData, REST, and direct SQL connections to source systems such as SAP and Dynamics, with data loaded into a company-owned staging database. |
| Security | ABBYY’s Timeline security documentation says customer data is encrypted in transit and at rest, and the application supports two-factor authentication and role-based authorization. | The company states that it is ISO 27001 certified and GDPR compliant. |
| Support | Timeline users can consult product guides and submit requests to ABBYY Technical Support through its Help Center. | Support is listed as included with both the AppSource and Enterprise models. |
Plans
In their own words
ABBYY Timeline
ABBYY Timeline is a process intelligence platform for understanding and improving business processes. It supports discovery, analysis, monitoring, prediction, and simulation, combining process mining with task mining and desktop recording to connect user activity with process details. The platform reconstructs end-to-end processes as an interactive digital twin and includes over 25 pre-built analysis tools. It can analyze event data from databases, CSV files, spreadsheets, transaction logs, ERP systems, and message logs. Connections include SAP, Alteryx, FlexiCapture, and ODBC sources such as Oracle, Microsoft SQL Server, and PostgreSQL. Its API can connect third-party systems, upload data, retrieve process statistics, and embed Timeline features in other applications. Deployment options include cloud and self-hosted Windows or Linux systems. Security documentation describes encryption in transit and at rest, two-factor authentication, and role-based authorization. The 30-day trial offers unlimited access to the full range of features. Pricing is on request; there is no free plan.
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.