What are the most common pain points that cause users to seek alternatives to Make (Integromat)?

Users often look for alternatives due to Make's operation-based pricing, which can be unpredictable and lead to unexpected costs as scenario complexity grows. Another major factor is the steep learning curve for advanced logic and error handling, which feels less intuitive than code-based or simpler linear tools. Finally, the visual canvas can become slow and difficult to manage for large, multi-path scenarios, prompting a search for platforms with better organizational features or a different interface paradigm.

Are there specific features, like native AI or internal data storage, that competitors offer but Make lacks?

While Make can connect to AI services, some competitors offer more deeply integrated, native AI capabilities for tasks like data parsing or content generation within the builder itself. Platforms like n8n offer self-hosting for greater data control and security. Others, like Zapier, provide built-in data storage solutions (Tables) and interfaces (Interfaces) that reduce the need for external databases or apps for simple use cases, which Make does not offer natively.

I find Make's pricing confusing. Is there a truly free or more predictably priced alternative for complex workflows?

For users seeking predictable costs, alternatives exist. Zapier offers task-based pricing, which can be easier to estimate than Make's operation-based model. For a truly free option, self-hosted open-source platforms like n8n provide a powerful free community edition. This eliminates recurring platform fees, with costs limited to your own server infrastructure. This is ideal for developers or teams with technical resources who want to avoid usage-based billing entirely.

How difficult is it to migrate my existing scenarios from Make to another automation platform?

Migration is a manual process, as there are no direct import/export tools between platforms. You must rebuild each scenario from scratch in the new tool. The difficulty depends on your scenario's complexity. Simple, linear workflows are easy to replicate. However, migrating scenarios with complex routing, custom HTTP calls, data stores, and intricate error handling requires significant effort. You will need to remap all app connections, fields, and logic, which can be time-consuming.

Our team isn't highly technical. What type of user should consider an alternative to Make?

Teams focused on simple, linear 'if this, then that' automations may find Make's powerful visual builder overly complex. For these use cases, a tool like Zapier offers a more guided, user-friendly experience with a gentler learning curve. Its step-by-step editor is often faster for non-technical users to build and maintain straightforward workflows connecting two or three apps, avoiding the potential for cluttered visual scenarios that can occur in Make.

Home›AI Agents›Make (Integromat)›Alternatives

Best Make (Integromat) Alternatives in 2026

Updated May 21, 2026 · 12 ranked

Make (Integromat) is a strong ai agents tool, but it is not the only option. Free alternatives include Composio, n8n, Flowise. We compared 12 ai agents tools to help you find the right fit by use case, price, and technical requirements.

View Make (Integromat) Full Review

View Pricing Plans

Quick Verdict

Best overall4.9G2

Composio

$29/moReview →

Best value4.0G2

Devin

$20/moReview →

Prices and features change frequently. This data is for reference only. Always verify directly with the vendor before purchase.

Report inaccuracy Vendor correction

Overview Benchmarks Stack Fit When to Stay Analysis By Use Case Comparison Top Picks Sync FAQ Research Sources

Make (Integromat) vs Alternatives: Performance Benchmarks

Independently verified metrics. Sources: Vendor documentation, independent research. Verified 2026.

Tool	Task Latencys	Integrations+	Self-Hostable	Free Ops/mo
Make (Integromat) (this)	0.5	1,800	No	1,000
n8n	1	400	Yes	-
Flowise	0.5	50	Yes	-
Dify	0.5	30	Yes	200
Zapier AI	1	7,000	No	100

Task Latency: Trigger-to-execution latency. Benchmark <1s on paid plans.Integrations: Native integrations without middleware.Self-Hostable: Can be deployed on-premise.Free Ops/mo: Operations/tasks available on free plan.

When Make (Integromat) Is Still the Better Choice

Alternatives are not always the right move. Make (Integromat) remains strong in these scenarios.

Stick with Make (Integromat) if you need

+Visually debug workflows with real-time execution flow.
+Advanced data handling: arrays, routers, aggregators, error handlers.
+Granular control over scheduling, including specific dates and times.
+Built-in AI module for text parsing, sentiment analysis, and generation.
+Supports custom logic with Make Data Stores, a simple internal database.

Consider an alternative when

-Steep learning curve for complex scenarios compared to linear automators.
-Operation-based pricing can be confusing and lead to unexpected costs.
-The visual interface can become cluttered and slow with large scenarios.
-Mobile app has limited functionality, primarily for monitoring.

Make (Integromat) Alternatives by Automation Use Case

12 alternatives evaluated by features, pricing, and real-world use cases.

Expert Take

Make works well when you need to visually map complex, multi-step workflows with advanced logic like routers and aggregators without writing raw code. The friction starts when troubleshooting execution failures, as users frequently encounter unclear error messages that make debugging complex scenarios frustrating. Before buying, compare vs n8n, a self-hosted alternative that avoids per-operation pricing at scale.

Oleh KemFounder & Lead Analyst

Composio4.9G2

AI PlatformFrom $29/mo

Composio works well when developers need to quickly connect AI agents to external APIs using secure delegated authentication and sandboxed environments. Rated 4.9/5 vs 4.7/5 for Make (Integromat).

Why Choose Composio

+250+ pre-built integrations save huge development time
+Handles OAuth and auth complexity
+Works with all major AI frameworks
+Good developer experience
+250+ Pre-built Integrations
+GitHub Integration

Points of Friction

−Tool call limits on free tier
−Still maturing product
−Some integrations less reliable

Composio Review →Compare vs Make (Integromat)View Pricing Plans

n8n4.7G2

AI PlatformFrom $25/mo

n8n works well when wiring up quick proof-of-concepts or small tasks using its pre-defined nodes. Priced higher at $25/mo vs $10/mo.

Why Choose n8n

+Self-hostable for full data control and security
+Source-available code allows for custom extensions
+Build multi-step AI agents with memory and tools

Points of Friction

−Steeper learning curve than no-code alternatives like Zapier
−Fewer pre-built app integrations compared to market leaders
−Community support can be slower than dedicated enterprise support

n8n Review →Compare vs Make (Integromat)View Pricing Plans

Flowise4.7G2

AI PlatformFrom $35/mo

Flowise works well when you need to visually construct LLM workflows and deploy simple chat widgets without heavy coding. Priced higher at $35/mo vs $10/mo.

Why Choose Flowise

+Visually construct complex chains with 100+ LangChain/LlamaIndex nodes
+Embeddable chat widget for any website with just a code snippet
+Fully open-source core (Apache 2.0) allows for total customization
+One-click deployment of chatflows as serverless API endpoints
+Extensive marketplace of pre-built templates for quick starts
+Visual Flow Builder
+LangChain Integration
+Multi-LLM Support

Points of Friction

−Self-hosting requires Docker and environment variable configuration
−Cloud version lacks enterprise features like SSO and audit logs
−No built-in version control for chatflows, requiring manual exports

Flowise Review →Compare vs Make (Integromat)View Pricing Plans

Dify4.6G2

AI PlatformFrom $59/mo

Dify works well when you need to quickly build and deploy RAG-powered AI applications using visual prompt orchestration. Make (Integromat) edges it on ratings (4.7 vs 4.6/5).

Why Choose Dify

+Visual prompt orchestration with version control and rollback
+Backend-as-a-Service (BaaS) for rapid API deployment
+Built-in RAG engine supports multiple data sources out-of-the-box
+Generous free self-hosted option with full feature access
+Agent-based tools for creating autonomous, function-calling AI
+Prompt Engineering

Points of Friction

−Steeper learning curve for non-technical users vs. no-code builders
−Self-hosting requires significant technical and infrastructure expertise
−UI/UX can feel less polished compared to mature, proprietary platforms

Dify Review →Compare vs Make (Integromat)View Pricing Plans

Zapier AI4.5G2

AI PlatformFrom $30/mo

Zapier AI works well when you need to quickly spin up simple, natural-language automations across a vast ecosystem of standard business apps. Make (Integromat) edges it on ratings (4.7 vs 4.5/5).

Why Choose Zapier AI

+Build multi-step automations from a single natural language prompt.
+Connects AI actions to an unparalleled 6,000+ app ecosystem.
+Create custom AI chatbots with access to your specific knowledge bases.
+Generous free plan includes 250 AI credits and 2 single-step Zaps.
+Zapier Tables provides a built-in database for complex AI workflows.
+AI Zap builder
+Chatbot builder

Points of Friction

−AI credits on paid plans can be consumed quickly, leading to overages.
−The AI's interpretation of complex prompts can sometimes require manual tweaking.
−Debugging AI-generated Zaps can be less intuitive than manual building.

Zapier AI Review →Compare vs Make (Integromat)View Pricing Plans

OpenAI Agents SDK4.6G2

AI PlatformPay-as-you-go

OpenAI Agents SDK works well when orchestrating multi-agent architectures with built-in handoffs and guardrails. Make (Integromat) edges it on ratings (4.7 vs 4.6/5).

Why Choose OpenAI Agents SDK

+Official OpenAI framework
+Production-ready with guardrails
+Agent handoffs for complex flows
+Built-in tracing & debugging
+Access to all OpenAI tools
+Agent handoffs
+Guardrails

Points of Friction

−Android SDK is perfect the way it is right now.
−We encounter compatibility issues between the product and the device from the manufacturer.
−It is an excellent solution, and it would be nice to get fewer updates.

OpenAI Agents SDK Review →Compare vs Make (Integromat)View Pricing Plans

Browser Use4.4G2

AI PlatformFrom $29/mo

Browser Use works well when developers need an open-source Python framework to orchestrate headless browser agents. Make (Integromat) edges it on ratings (4.7 vs 4.4/5).

Why Choose Browser Use

+Dual-mode: Use locally via Python or via a managed Cloud API
+LLM-agnostic: Integrates with any model (OpenAI, Anthropic, local)
+Agentic tools for complex tasks like multi-tab coordination
+Permissive Apache 2.0 license allows for commercial use
+Active community with frequent releases and new integrations
+Browser Control
+Web Navigation

Points of Friction

−Struggles with dynamic, JavaScript-heavy single-page applications (SPAs)
−High token usage for complex tasks can become expensive
−Lacks a visual, low-code interface for building automations

Browser Use Review →Compare vs Make (Integromat)View Pricing Plans

Relevance AI4.3G2

AI PlatformFrom $349/mo

Relevance AI works well when automating standard sales and support tasks like pulling order details or updating customer addresses using pre-built tools. Make (Integromat) edges it on ratings (4.7 vs 4.3/5).

Why Choose Relevance AI

+Build complex agents via a visual, drag-and-drop UI
+Access 300+ pre-built tools for web scraping & lead enrichment
+Deep, native integrations with Salesforce, HubSpot, and Slack
+Generous free tier for building and testing multiple agents
+Deploy agents as APIs, web apps, or on a schedule with one click

Points of Friction

−Limited to pre-built tool library; custom tool creation is complex
−Agent memory and context windows are less configurable than code frameworks
−Performance can be slower for highly complex, multi-step workflows

Relevance AI Review →Compare vs Make (Integromat)View Pricing Plans

Showing 8 of 12 alternatives

Make (Integromat): Feature Comparison

Make (Integromat) compared against all 12 ai agents alternatives. Pricing, free plan availability, rating, and ai agents-specific capabilities.

Tool	Price	Free Plan	Rating	Multi-Agent	Tool Use	Memory	Open Source
Make (Integromat)you	$10/mo		4.7G2	-	-	-	-
Composio	$29/mo		4.9G2	-	-	-	-
n8n	$25/mo		4.7G2	-	-	-	-
Flowise	$35/mo		4.7G2	-	-		-
Dify	$59/mo		4.6G2	-	-	-	-
Zapier AI	$30/mo		4.5G2	-	-	-	-
OpenAI Agents SDK	Pay-as-you-go		4.6G2				-
Browser Use	$29/mo		4.4G2	-	-	-	-
Relevance AI	$349/mo		4.3G2		-		-
CrewAI	Pay-as-you-go		4.2G2		-		-
Devin	$20/mo	No	4.0G2	-	-	-	-
Letta	$20/mo		3.9G2	-
AutoGPT	Free		3.8G2		-		-

Top AI Agents Alternatives to Make (Integromat)

#1 Top PickAI Platform

Composio4.9G2

Choose Composio if you need 250+ pre-built integrations save huge development time

$29/moFree plan

Full Review Compare

#2 Runner-UpAI Platform

n8n4.7G2

Choose n8n if you need free plan available

$25/moFree plan

Full Review Compare

#3 Strong ChoiceAI Platform

Flowise4.7G2

Choose Flowise if you need free and open source

$35/moFree plan

Full Review Compare

Oleh KemFounder & Lead AnalystExpert verified·Updated May 21, 2026·Our methodology

Price & Data Intelligence SyncLast verified: May 21, 2026 · CE-AIAGT-2026W21-990087 · ✓ Pricing updated May 21, 2026

Up to date

Frequently Asked Questions

Sources & Data Trail · Make (Integromat)

1.Official Website·Official vendor website
2.Official Pricing Page·Source of verified tiers(Checked: 2026-05-21)
3.G2·G2 verified user reviews · 4.7/5 · 296 reviews
4.Capterra·Capterra verified user reviews · 4.8/5
5.TrustRadius·TrustRadius verified reviews
6.PeerSpot·PeerSpot enterprise peer reviews

Data intelligence by ComparEdge.Pricing history Report inaccuracy Vendor correction

Best Make (Integromat) Alternatives in 2026

Make (Integromat) vs Alternatives: Performance Benchmarks

When Make (Integromat) Is Still the Better Choice

Make (Integromat) Alternatives by Automation Use Case

Make (Integromat): Feature Comparison

Top AI Agents Alternatives to Make (Integromat)

Frequently Asked Questions

Related Research

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Sources & Data Trail · Make (Integromat)