Comprehensive analysis of Make.com's strengths and weaknesses based on real user feedback and expert evaluation.
Visual scenario builder supports routers, filters, scheduled runs, subscenarios, real-time execution monitoring, and reusable scenario templates.
Large connector ecosystem with 3,000+ standard apps, 350+ AI apps, and 300+ Make API endpoints for custom automation work.
Free plan includes 1,000 credits/month, 2 active scenarios, 3,000+ apps, routers and filters, and customer support with no time limit.
Paid plans support unlimited active scenarios, 1-minute scheduling, higher data transfer limits, and access to the Make API starting at $12/month for 10,000 credits.
Enterprise options include SSO, domain claim, on-prem agents for local systems such as SAP, advanced security features, 24/7 Enterprise support, and overage protection.
Make is used by 400,000+ customers across 200+ countries and territories, backed by a team of 350+ employees and parent company Celonis.
6 major strengths make Make.com stand out in the automation & workflows category.
Credit-based billing can become hard to forecast because each module action in a scenario consumes credits.
The Free plan is limited to 1,000 credits/month, 2 active scenarios, 15-minute minimum scheduling, 5-minute maximum execution time, and 5 MB file processing.
Native AI features are useful for orchestration, but Make is not a full model development, vector database, or dedicated RAG platform.
Advanced governance and security features such as SSO, domain claim, audit logs, 24/7 support, and on-prem agents are Enterprise-oriented.
Complex scenarios still require careful technical design, especially when handling retries, data transformation, API limits, and high-volume AI calls.
5 areas for improvement that potential users should consider.
Make.com has potential but comes with notable limitations. Consider trying the free tier or trial before committing, and compare closely with alternatives in the automation & workflows space.
If Make.com's limitations concern you, consider these alternatives in the automation & workflows category.
Open-source Python framework for orchestrating role-playing, autonomous AI agents that collaborate as a 'crew' to complete complex tasks.
Microsoft's open-source framework for building multi-agent AI systems with asynchronous, event-driven architecture.
LangGraph is LangChain's open-source framework for building stateful, durable, multi-agent workflows in Python and JavaScript with graph-based control flow.
Make counts each module action in a scenario as one credit, such as adding a row to Google Sheets or fetching data from Gmail. The Free plan includes 1,000 credits/month, while Core, Pro, and Teams are shown at 10,000 credits/month starting points on the pricing page. This means a scenario with many modules or many processed records can consume credits quickly, even if the workflow looks visually simple. Teams should estimate the number of modules, run frequency, and records per run before choosing a plan.
Yes, Make has several AI-focused capabilities listed on its pricing page, including 350+ AI apps, Make AI Agents in beta, Make AI Toolkit, AI Content Extractor, AI Web Search in beta, and support for Make's AI Provider or a user's own LLM key. It is well suited for workflows where AI is one step in a broader business process, such as classifying support tickets, summarizing form submissions, extracting structured text from files, or enriching CRM records. It is less appropriate as the only platform for advanced model development, evaluation, or custom agent runtime engineering.
Free costs $0/month and includes 1,000 credits/month, 2 active scenarios, 15-minute scheduling, a 5-minute execution limit, and 5 MB maximum file size. Core starts at $12/month for 10,000 credits/month and adds unlimited active scenarios, 1-minute scheduling, increased data transfer, and Make API access. Pro starts at $21/month and adds priority scenario execution, custom variables, and full-text execution log search, while Teams starts at $38/month and adds team roles plus shared scenario templates. Enterprise adds custom pricing, enterprise app access, advanced security, higher limits, and 24/7 Enterprise support.
Make includes several enterprise-oriented features, including company SSO, domain claim, audit logs, analytics dashboards, overage protection, on-prem agents, access to enterprise apps, and 24/7 top-priority assistance from senior specialists. The company states that Make is used by 400,000+ customers in 200+ countries and territories, and that it is part of Celonis, which Make describes as valued at $13 billion. Enterprise teams should still validate data residency, compliance, support terms, credit volumes, and connector coverage before standardizing on the platform.
Make is a hosted visual automation platform, while CrewAI, AutoGen, LangGraph, and Semantic Kernel are more developer-oriented frameworks for building AI agents or application logic in code. Choose Make when the goal is connecting 3,000+ business apps, managing workflows visually, monitoring scenario runs, and enabling non-engineering teams to own automations. Choose a framework when you need custom agent state management, source-controlled application code, self-hosted runtime control, or deep integration inside a software product.
Consider Make.com carefully or explore alternatives. The free tier is a good place to start.
Pros and cons analysis updated March 2026