Visual platform for building complex automations without code
By Tanmay Verma, Founder · Last verified 15 May 2026
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Make is a strong Zapier alternative for users who need more complex logic and a better visual interface. Its free tier (1,000 ops/month, 2 scenarios) lets you validate use cases before upgrading. For heavy enterprise needs or on-premise requirements, consider alternatives like Workato or Tray.io.
Last verified: May 2026
Make stands out in the no-code automation space with its visual workflow builder that resembles a flowchart, making it easier to visualize logic than Zapier's linear approach. It offers over 2000 integrations, including many business-critical apps like Salesforce, Shopify, and Slack. The AI modules allow you to incorporate AI tasks like content generation directly into workflows. However, Make's free tier is very limited (1,000 ops/month, 2 scenarios), and even the Pro plan at $16/month may be restrictive for high-volume tasks. The lack of SSO, audit logs, and on-premise deployment makes it unsuitable for enterprises with strict compliance requirements. For small businesses and freelancers, Make offers a sweet spot of power and affordability. The learning curve is steeper than Zapier, but the visual interface and built-in error handling compensate.
Skip Make if Skip Make if you need on-premise deployment, SSO, or advanced compliance features for enterprise use.
How likely is Make to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
Make (formerly Integromat) is a visual automation platform that lets you design and run complex multi-step workflows without coding. With over 2000 app integrations, AI modules, and built-in data transformation tools, it's ideal for small businesses and non-technical users who need to connect their tools. Its visual canvas makes it intuitive to map out logic, and features like webhooks, error handling, and custom functions give you control without complexity. Make supports scheduling and triggers, real-time execution logs, and team collaboration. While it lacks enterprise features like SSO and on-premise deployment, it offers a generous free tier to prototype workflows before upgrading to paid plans starting at $9/month.
Concrete scenarios for the personas Make actually fits — and what changes day-one when you adopt it.
Automate lead capture from Facebook Lead Ads to Mailchimp and Slack
Outcome: New leads are added to email list and team receives instant notification, saving manual data entry.
Generate AI social media posts using ChatGPT and schedule them in Hootsuite
Outcome: Automated content creation and posting reduces time spent on social media management.
Sync new orders from Shopify to QuickBooks and send customer confirmation emails
Outcome: Order data flows automatically, reducing errors and freeing up time for other tasks.
Make does not offer an on-premise deployment option, which is a dealbreaker for enterprise customers with strict data residency requirements. Its free tier caps at 1,000 operations per month, which may be too low for high-frequency tasks. Advanced features like SSO, audit logs, and dedicated support are missing from all plans, pushing large teams toward enterprise-focused competitors like Workato or Tray.io.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published Make tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
Freelancer or hobbyist testing automation with low volume (up to 1,000 operations/month) and only 2 scenarios
What this tier adds
Free entry point with basic features; limited to 1,000 ops/month and 2 scenarios.
Core
$9/mo
Ideal for
Small business needing unlimited scenarios and 10,000 operations/month
What this tier adds
Unlocks unlimited scenarios and increases operation limit to 10,000/month.
Pro
$16/mo
Ideal for
Power user needing custom functions, priority support, and more operations
What this tier adds
Adds custom functions and priority support over Core.
The company stage and team size where Make's pricing actually pencils out — and where peers do it cheaper.
Make's pricing starts free (1,000 ops/month) and scales to $16/month for Pro, which is cheaper than Zapier's $30/month for comparable features. However, for very high volumes, Make becomes expensive compared to enterprise alternatives like Workato.
How long it actually takes to get something useful out of Make — broken out by persona, not the marketing-page minute.
A simple two-step integration can be set up in under 10 minutes. Complex multi-step workflows may take 30-60 minutes. The visual drag-and-drop builder reduces the learning curve for non-technical users.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Make vs Workato
Make vs Workato — for small businesses and freelancers, Make wins with its freemium pricing, 2000+ integrations, and intuitive visual builder. For enterprise teams needing AI agent orchestration, governed integrations, and complex business process automation, Workato is the clear choice. The deciding factor is scale and budget: Make delivers production-grade automations at $9–$16/month, while Workato requires a sales conversation and typically annual contracts exceeding $50,000.
Activepieces vs Make
Activepieces vs Make: For teams prioritizing open-source flexibility, AI agent building, and enterprise self-hosting, Activepieces wins in 2026. Its free self-hosted tier with unlimited tasks and AI-native features (agent builder, adoption analytics) outpaces Make for developer-led and privacy-conscious teams. However, for non-technical users and small businesses needing a vast integration library (2000+) and intuitive scenario design, Make remains the better choice due to its lower learning curve and pre-built templates. The deciding factor is your team's technical capacity and need for AI automation – Activepieces leads there.
Make vs N8n
Make vs n8n: Choose Make if you're a non-technical user or small business needing to connect a wide range of apps with minimal setup and a friendly visual builder. Choose n8n if you're a developer or technical team that requires AI agent capabilities, self-hosting for data compliance, or custom code in workflows – n8n offers more control and lower cost at scale. For most technical users building complex automations in 2026, n8n is the stronger choice due to its open-source flexibility and native AI features.
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How we score →Create vs Make
Create vs Make: For building custom AI-powered applications from scratch, Create wins because it generates functional apps from text prompts and includes database, auth, and 100+ integrations out of the box. Make wins for automating workflows across existing tools, with 2000+ integrations and a visual canvas. The right choice depends on whether you need app creation (Create) or process automation (Make).
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