# Make

## Kurzbeschreibung
**“Automate your work.”**



**Make** is a visual no-code/low-code automation platform for integrations, workflows, and increasingly also agentic AI processes.


Companies can use it to connect data and actions across 3,000+ apps, automate API-based processes, and incorporate AI features such as AI Agents, AI Toolkit, AI Content Extractor, AI Web Search, and MCP servers into scenarios. The product addresses both simple app automations and more complex enterprise workflows with team, governance, and hybrid connectivity.

## Claim
Automate your work

## Geeignet für
- API Integration
- Automation / Workflows
- Data Extraction / Document Analysis
- Email / Communication
- Finance / Accounting
- Customer Service & Chatbots
- Marketing & Advertising
- no Code App
- Productivity & Planning
- Project Management
- Research
- SEO / GEO Optimization
- Social Media
- Texts / Content
- Translations
- Sales / Sales

## Kernfunktionen
- Automation
- Data Analysis
- AI agents

## Preismodell
- **free:** Monthly credits, visual no-code workflow builder, 3,000+ apps, router & filter, support, and a longer minimum interval.
- **subscription:** **Core** Everything in Free plus unlimited active scenarios, more granular scheduling, higher data limits, and the Make API.


**Pro** Everything in Core plus Priority Scenario Execution, Custom Variables, and Full-Text Execution Log Search.


**Teams** Everything in Pro plus Teams, team roles, and sharing of scenario templates.
- **other:** **Enterprise** Custom Functions Support, Enterprise App Integrations, 24/7 Enterprise Support, Value Engineering, Overage Protection, and Advanced Security.


**Credits / AI Agents** Credit-based usage for scenarios and AI automation; scope of features varies by plan.

## DSGVO und Datenschutz
**Gesamteinschätzung:** Conditional

**On-prem / local hosting: indirect / not available**

No on-premises, local, or self-hosted deployment of Make was found on the website.

**Private Cloud / Data Center: Partially**

The security page mentions a separately managed AWS environment for Enterprise, isolated from self-service cloud customers. This suggests a segregated environment, but does not clearly indicate a customer-owned, dedicated private cloud with full freedom of location and operation.

**EU SaaS / Managed: Covered**

The Help Center documentation on make.com lists a selectable data center region called “European Union (EU)” for organizations, where data is stored and processed. The list of subprocessors specifies AWS hosting in Ireland or Germany for European customers.

**Hybrid: unclear**

No clearly described hybrid operating model was found on the website in which part of the processing runs internally or on private infrastructure and another part runs as a managed service.

**DPA: Covered**

A DPA/AVV is published on the website as a PDF. It describes Make as a processor acting on behalf of the customer and stipulates that processing is subject to the customer’s documented instructions.

**No Training: Partially**

The Privacy Notice explicitly states only that Google Workspace APIs are not used to develop, improve, or train generalized AI/ML models. A general, product-wide commitment that prompts, uploads, or outputs from all AI features are never used for model training was not found on the website.

**Open Source / Transparency Path: Indirect / Not Available**

No clear information regarding open-source components, open models, or self-hostable core components was found on the website. A transparency pathway exists, if at all, only indirectly through contractual documents, Terms of Service (TOS), and data export/deletion policies, but not as an open-source or sovereignty model.

**Data Processing**

The website describes Make as a managed cloud service. According to the Help Center, organizations can select the data center region, including “European Union (EU),” with this region determining the storage and processing of the organization’s data. For Enterprise, Make specifies a separately managed AWS environment. The DPA, TOMs, and the list of subprocessors are published on the website. For international transfers, Make refers to DPF and SCCs. No information regarding on-premises or local hosting was found on the website.

**Conclusion**

For users in the EU/EEA, Make is best classified—according to its own website—as **an EU SaaS offering with contractual and organizational safeguards**, rather than as a fully independent on-premises solution. Positive aspects include the choice of an EU region, the DPA/AVV, TOMs, the list of subprocessors, and certifications. Limitations remain due to U.S. connections, international transfers, and the use of AI data for training, which is not clearly and generally excluded on the website. Overall, its use within the EU/EEA is *conditionally* GDPR-compliant, provided that the EU region is selected, the DPA is concluded, and the specific data flows are carefully reviewed.

**Sources**

- [https://www.make.com/en/privacy-and-gdpr](https://www.make.com/en/privacy-and-gdpr)
- [https://www.make.com/en/privacy-notice](https://www.make.com/en/privacy-notice)
- [https://www.make.com/en/data-processing-agreement.pdf](https://www.make.com/en/data-processing-agreement.pdf)
- [https://www.make.com/en/security](https://www.make.com/en/security)
- [https://help.make.com/organizations](https://help.make.com/organizations)
- [https://www.make.com/sub-processors.pdf](https://www.make.com/sub-processors.pdf)
- [https://www.make.com/technical-and-organizational-measures.pdf](https://www.make.com/technical-and-organizational-measures.pdf)
- [https://www.make.com/en/terms-and-conditions](https://www.make.com/en/terms-and-conditions)

Make provides data protection documents relevant to the EU/EEA region on its own website, including privacy notices, a DPA/AVV, a list of subprocessors, and information on the GDPR and international transfers. In addition, its documentation specifies a selectable EU data center region for organizations. At the same time, the provider is U.S.-based, refers to the EU-U.S. Data Privacy Framework and SCCs for transfers, and the website does not specify a simple on-premises or self-hosting option. Thus, GDPR-compliant use in the EU/EEA appears to be possible in principle, but only under certain conditions, such as selecting the appropriate region, signing the DPA, and reviewing the specific data flows to subprocessors and AI functions.

**Positive**

The website includes a DPA/AVV, a data protection page on the GDPR, a Privacy Notice, technical and organizational measures, a list of subprocessors, and information on selecting EU data centers for organizations. In addition, Make cites ISO 27001 as well as SOC 2 Type II and SOC 3 for its infrastructure and security program, respectively.

**Negative**

The website does not clearly guarantee comprehensive EU/EEA-exclusive processing in all cases. The documentation refers to U.S. connections and international transfers via DPF or SCCs. An on-premises/self-hosting option is not specified on the website. No clear, general commitment to a blanket opt-out from AI training for all AI functions was found on the website; only a specific note regarding Google Workspace APIs is available.

**Server Location**

For organizations, the website lists a selectable data center region: “European Union (EU).” The list of subprocessors published on the website specifies hosting locations in Ireland (Dublin) or Germany (Frankfurt) for European customers using AWS. In addition, the Enterprise Security page mentions a separately managed AWS environment. The website does not fully clarify whether this applies unchanged to all current product areas and AI features.

## Hosting und Daten
- **On-Prem / lokales Hosting:** unknown
- **Private Cloud / Rechenzentrum:** teilweise / indirekt
- **EU SaaS / Managed:** abgedeckt
- **Hybrid:** unknown
- **AVV / DPA:** abgedeckt
- **Kein Training auf Kundendaten:** teilweise / indirekt
- **Open-Source / Transparenz-Pfad:** unknown

## Standort
**Land:** USA

**Taxonomie:** USA

Celonis, Inc., One World Trade Center, 87th Floor, New York, NY 10007, USA.

## Vorteile
- – Very strong visual workflow modeling without the requirement for in-house backend development.
- – 3,000+ standard apps and API access for broad integration coverage.
- – AI features are not just add-ons, but can be integrated directly into scenarios.
- – Enterprise expansion with team roles, templates, enterprise apps, on-prem agent, and advanced security features.
- – Official privacy/compliance documentation is published comparatively extensively.

## Nachteile
- – The pricing model is credit-based; for AI and advanced features, consumption can fluctuate dynamically based on operations, tokens, pages, file size, or runtime, which makes cost estimation more difficult.
- – The free tier is significantly limited for production use, including 1,000 credits/month, 2 active scenarios, and a 15-minute interval.
- – According to the Help Center, the On-Prem Agent is an Enterprise feature and currently supports only the HTTP Agent approach, i.e. not full self-hosting of the entire platform.
- – The new AI Agents are officially in Open Beta; functionality and pricing may change.
- – According to the MSA, the customer remains responsible for third-party services and their data protection/terms of use.

## Quellen
- Offizielle Website: https://www.make.com/en/pricing

## Letzter Datenstand
2026-04-25

## Originalseite
https://kifox.ai/en/ki-tools/make-en/