Make vs Workato
Side-by-side comparison of features, pricing, and ratings
Make or Workato: which should you choose?
| Dimension | Make | Workato |
|---|---|---|
| Pricing | Freemium | Contact sales |
| Target User | Marketing, ops, IT teams (SMB to enterprise) | Enterprise IT & ops teams |
| Integration Count | 3,000+ apps with pre-built connectors | Hundreds of enterprise SaaS connectors (e.g., Salesforce, SAP, Workday) |
| AI Agent Features | Make AI Agents, Library of Agents, Make MCP Server | Agent Studio, Agent Orchestration, Enterprise MCP Gateway, Genies, AIRO multi-agent system (GA) |
| Notable Add-ons | Sub-scenarios, data stores, webhooks | Event Streams (cross-workspace sharing), Data Pipelines (Databricks, Redshift), IDP (up to 50 pages, 50MB, 100-line tables) |
| Automation Complexity | Medium – visual builder with advanced logic, but simpler than Workato's AI orchestration | High – enterprise-grade governance, multi-agent orchestration |
If you're an enterprise needing governed, security-first AI agent orchestration across critical systems like SAP or Workday, Workato is the clear choice despite opaque pricing. For most teams (marketing, ops, SMBs) wanting a powerful, visual automation platform with a generous free tier and 3,000+ connectors, Make delivers exceptional value and flexibility. Decide based on your scale and governance needs: Workato for heavy compliance and multi-agent AI, Make for fast, versatile workflow automation without enterprise overhead.
Make is a visual automation canvas where branching workflows, AI agents and prompt-built scenarios run on the same map.
Visit WebsiteEnterprise iPaaS for AI governance: orchestrate agents, MCP servers and workflows on one runtime.
Visit WebsiteWhat do real users say about Make vs Workato?
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
Make
114 mentions across 8 sources · 50% positive — mixed (weighted across 8 sources)
Hacker News, YouTube, Product Hunt, App Store, Bluesky, Stack Overflow, Lemmy, Tech Press
What users praise
- • Visual canvas makes branching logic with routers and filters readable at a glance
- • Hundreds of prebuilt app integrations cover most common SaaS stacks out of the box
- • Pricing comparable to Zapier but supports genuinely multi-step, branching scenarios
- • Custom JavaScript and Python code steps fill gaps the module library misses
What frustrates them
- • iOS app crashes within seconds and fails to sync in the background
- • Support tickets reportedly go months without a response or follow-up
- • No converger module, forcing awkward workarounds for advanced merge logic
- • Per-operation billing quickly inflates costs on branch-heavy workflows
Researched Nov 7, 2026
Workato
30 mentions across 3 sources · 54% positive — mixed (weighted across 3 sources)
Hacker News, YouTube, Product Hunt
What users praise
- • Recognized across HN as the reference enterprise iPaaS alongside Boomi and Power Platform
- • Recipe-based orchestration runs work exactly once — a genuine reliability differentiator for critical flows
- • 17,000+ app, API, database and MCP connectors covers nearly any enterprise system
- • Agent Studio and Genies extend automation into multi-step AI tasks up to 30 minutes long
What frustrates them
- • Pricing is opaque — 'contact us' with no community benchmarking available anywhere in the data
- • No Reddit, Stack Overflow, GitHub or App Store data means reliability claims are unverified
- • HN commenters frame it as the new 4GL — heavy conceptual lock-in once recipes accumulate
- • Developer sentiment skews dismissive, treating low-code orchestration as a step down from real engineering
Researched Oct 14, 2026
Who should pick Make, and who should pick Workato?
- Enterprise IT architectPick: Workato
You need secure, governed AI agent orchestration across hundreds of SaaS apps (Salesforce, SAP, Workday) with compliance (SOC 2, etc.). Workato's Agent Orchestration and MCP Gateway are built for this.
- Marketing operations managerPick: Make
You automate lead generation, CRM updates, and multi-channel campaigns. Make's 3,000+ connectors and visual builder let you integrate HubSpot, Slack, and Canva quickly without IT.
- Solo founder or SMBPick: Make
You need cost-effective automation with a free tier to get started. Make covers basic workflows and scales as you grow, without enterprise pricing.
- Revenue operations leaderPick: Workato
You automate order-to-cash with AI, requiring tight integration with NetSuite/Salesforce and monitoring. Workato's Genies and Data Pipelines (now with Databricks/Redshift) support complex revenue workflows.
- IT ops in a mid-size companyPick: Make
You need to automate monitoring and incident response across your SaaS tools. Make's AI agents and sub-scenarios let you build robust workflows with moderate effort and cost.
Frequently Asked Questions
Make vs Workato: which should you choose?
If you're an enterprise needing governed, security-first AI agent orchestration across critical systems like SAP or Workday, Workato is the clear choice despite opaque pricing. For most teams (marketing, ops, SMBs) wanting a powerful, visual automation platform with a generous free tier and 3,000+ connectors, Make delivers exceptional value and flexibility. Decide based on your scale and governance needs: Workato for heavy compliance and multi-agent AI, Make for fast, versatile workflow automation without enterprise overhead.
Can Workato handle AI agents that need to interact with internal APIs?
Yes, Workato's Enterprise MCP Gateway provides secure AI-to-API connectivity, and Agent Studio lets you build custom agents that can call your APIs. The MCP Apps feature offers an interactive UI in AI clients for testing.
Does Make support webhooks?
Yes, Make includes webhook triggers for custom events, enabling real-time automation from any external system.
Which platform is easier for non-technical users?
Make has a more visual, drag-and-drop builder that is generally easier for business users. Workato requires more technical understanding of integration and AI concepts.
Which platform is more secure for enterprise data?
Workato is built for enterprise-level security with features like SSO, SOC 2, and the Enterprise MCP Gateway for secure AI-to-API connectivity. Make also offers GDPR, SOC 2, and SOC 3 compliance, but Workato's governance is more extensive.
Can I use Make for free?
Yes, Make has a freemium tier that allows you to build and run basic scenarios with a limited number of operations per month.
Do both platforms support integration with Salesforce?
Yes, both Workato and Make have connectors for Salesforce. Workato also integrates with NetSuite, ServiceNow, and other enterprise CRMs, while Make covers a broader range of apps including monday.com and HubSpot CRM.
What else are Make and Workato compared with?
If you're an enterprise wrestling with SAP-to-Salesforce data flows and need governed multi-agent orchestration, Workato is the heavyweight choice — its MCP Gateway and AIRO give IT teams control that
Pick Make if your problem is breadth: a messy multi-app stack with branching, data reshaping, and a team that would rather prompt Maia by Make than wire every node. Pick n8n if your problem is account
If your goal is to automate cross-app business processes (CRM, email, databases), Make is the clear choice with its 3,000+ connectors and visual logic. If you want to build a functional web or mobile
If you're a large enterprise that needs governed AI agents across hundreds of SaaS apps, Workato is the control plane — but you'll pay enterprise prices and rely on their cloud. If you're a technical
If your priority is AI agent automation on a budget with self-hosting flexibility, pick Activepieces. If you need the widest integration library and advanced workflow logic (routers, iterators) across
If you want visual control over complex, multi-step logic and have some technical comfort, Make is the better buy. If you prioritize sheer app count, minimal learning curve, and AI-assisted workflow g
Where can you read more about Make and Workato?
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Analysis generated by our model pipeline from live data: