Comparison: Make and Pantarey

Make (formerly Integromat) and Pantarey pursue different approaches to digitizing workflows. Make offers visual automation building blocks for integrations and workflows, while Pantarey models, controls, and analyzes processes holistically. Both solutions can coexist but address different requirements.

Target Groups and Use Cases

Make targets teams that want to quickly create integrations between cloud applications or prototype individual automations. The focus is on flexibility and detailed control over data flows. Pantarey addresses companies that need to design end-to-end processes, define responsibilities, and map governance requirements. The platform combines process modeling, data management, and analysis functions in one environment.

Modeling and Control

Make uses a canvas-based interface where modules are connected via drag-and-drop. Branches and error handling are possible but remain at the workflow level. Pantarey relies on BPMN as a standardized notation. Processes can be versioned, tested, and enriched with service and user tasks. Decision rules, escalations, and deadlines are integral parts of the models.

Architecture and Operations

Make operates as a cloud service but requires maintaining individual scenarios and resource planning with growing usage. Pantarey is based on a serverless infrastructure that automatically scales and separates tenants from each other. The platform itself handles operations, security, and updates. Organizations focus on designing their business logic.

Data Management and Transparency

In Make, data predominantly remains in source and target systems; the platform processes it temporarily. Persistent data models or reporting functions must be built externally. Pantarey defines data objects centrally via JSON Schema and stores them audit-proof. Events are deposited in a data lake and are available for evaluations, monitoring, and audits.

Governance and Collaboration

Make offers role-based access and version histories at the scenario level but primarily targets automation specialists. Pantarey anchors governance more deeply: tenant separation, approval processes, and documentation are part of the platform. Business departments can model and coordinate processes in a shared interface.

Comparison

Aspect	Make	Pantarey
Focus	Integration workflows	Process digitalization
Modeling	Visual canvas, module-based	BPMN with versioning
Data management	Temporary processing	Central JSON data models
Operations	Cloud service with scenario management	Serverless, multi-tenant platform
Analysis	Focus on throughput and error messages	Data lake evaluations, monitoring
Governance	Roles and logs per scenario	Holistic governance and approvals

Summary

Make automates workflows – Pantarey designs them holistically.