Activepieces vs Make

Activepieces is an open-source, AI-first automation platform that combines a drag-and-drop workflow builder with native AI agents (e.g., Lead Scorer, Deal Closer) that can be instructed with custom logic and include human approval steps. It offers 700+ app integrations, SAML/SCIM for enterprise SSO, audit logs, and a self-hosting option (Docker, Helm) for data compliance. The platform also features impact analytics and gamification to drive adoption. In contrast, Make provides a visual scenario builder with routers, filters, aggregators, iterators, and sub-scenarios for modular, complex workflows. It boasts 500+ connectors and advanced error handling with rollback. However, Make lacks native AI agent capabilities—AI must be added via integrations like OpenAI. Activepieces' AI-first orientation means it automatically embeds AI into automation, while Make focuses on customizable logic and data transformation without built-in AI. For non-AI complex integrations, Make's visual logic tools are more mature; for AI-driven workflows, Activepieces offers a more integrated experience.

Activepieces operates on a per-active-flow model: free for 10 active flows, then $5 per active flow per month. This flat pricing is predictable and cost-effective for teams with many automations, especially since self-hosting can reduce costs further. Make uses operation-based pricing: a free tier with 1,000 operations/month, then paid plans starting at $9/month for 10,000 operations. As operations scale, costs can increase significantly, which may surprise heavy users. Activepieces' pricing is more transparent for high-volume automation, while Make's model can be cheaper for very low-volume use. Activepieces also offers self-hosting, which can eliminate per-flow costs entirely for organizations willing to manage infrastructure. Make's cloud-only model means you always pay per operation.