Make.com、Gumloop 與 Relay 比較：獨立開發者的自動化工具
Make.com vs Gumloop vs Relay: Automation for Indie Devs
Make.com、Gumloop 與 Relay 面向獨立開發者提供不同的工作流程自動化方案：Make.com 適合一般自動化，Gumloop 擅長 AI 工作流程，Relay 則適合需要在流程中編寫程式碼的開發者。
Zapier connected your SaaS tools, but it costs a fortune at scale and struggles with anything beyond simple trigger-action rules. In 2026, a new generation of workflow automation tools has emerged that speaks the language of developers — with built-in AI steps, code blocks, and cheaper per-operation pricing. Make.com (formerly Integromat) leads the incumbents, while Gumloop and Relay represent the new AI-native challengers. For an indie developer who needs to automate business processes without writing full custom integrations, which one delivers?
Quick Verdict
🏆 Make.com remains the best all-around automation platform for most indie developers — it has the broadest integration library, transparent pricing, and a powerful visual builder that developers can use without fighting the UI. Gumloop is better for AI-heavy workflows (content generation, data extraction from documents, AI classification). Relay is the best choice for developers who want to write code in their automation (JavaScript/Python steps in the middle of workflows).
What Is Each Tool?
Make.com (formerly Integromat) offers a visual workflow builder with over 2,000 integrations. Its key differentiator from Zapier is the data transformation layer — you can perform complex data manipulation (JSON parsing, regex, aggregations, iterators) without writing a single line of code.
Gumloop is an AI-first automation platform. Instead of trigger-action rules, you build "pipelines" that combine AI model calls (GPT-5, Claude, Gemini) with traditional data operations. Typical use cases: "Scrape 50 competitor pricing pages, extract key features with Claude, and write them to a Google Sheet."
Relay positions itself as "automation for developers." You define workflows in a Git-friendly YAML format, and each step can be a webhook call, a code block (JavaScript/Python), or a native integration step. The workflow engine runs on your infrastructure (Docker) or in Relay's cloud.
Feature Comparison
| Feature | Make.com | Gumloop | Relay |
|---|---|---|---|
| Integration count | 2,000+ | ~100 (growing) | ~50 (focused on developer tools) |
| AI model integration | ⚠️ Via HTTP module (manual) | ✅ Native (GPT, Claude, Gemini) | ✅ Via code blocks |
| Visual builder | ✅ Excellent (drag & drop) | ✅ Good (pipeline builder) | ❌ YAML-defined only |
| Custom code steps | ⚠️ Limited (no JS/Python) | ✅ Code blocks (Python) | ✅ Full JS/Python/Shell |
| Error handling | ✅ Built-in (retries, breaks) | ✅ Retry + fallback | ✅ Retry + branching |
| GitOps/deploy from repo | ❌ No | ❌ No | ✅ Full Git integration |
| Self-hosted option | ❌ Cloud only | ❌ Cloud only | ✅ Docker self-hosted |
| Operations/mo (free tier) | 1,000 ops | ~200 AI calls/month | 2,500 operations/month |
| Paid pricing (10K ops/mo) | $9/mo | ~$20/mo | $15/mo (self-hosted: free) |
| Execution timeout | 15 min | 30 min | 60 min |
Pricing Comparison
| Plan | Make.com | Gumloop | Relay |
|---|---|---|---|
| Free | 1K ops, 15 min runs | 200 AI calls | 2.5K ops |
| Starter | $9/mo (10K ops) | $20/mo (5K AI calls) | $15/mo (10K ops) |
| Pro | $16/mo (15K ops) | $50/mo (25K AI calls) | $30/mo (50K ops) |
| Self-hosted | N/A | N/A | Free (Docker, unlimited ops on your infra) |
Make.com is the cheapest for traditional automation. Gumloop's pricing is competitive when you factor in the included AI credits (GPT-5 calls bundled). Relay's self-hosted option makes it the cheapest for any volume if you have a server.
Use Case Recommendations
Traditional business automation (form submissions → CRM → email → Slack): Make.com. Its integration library is unmatched, and the visual builder handles complex data transformations without code. For typical automation flows (new Typeform entry → create HubSpot contact → send Slack notification → add to Mailchimp list), Make.com's 2,000+ integrations mean you rarely need to build custom API calls.
AI-powered data processing (scrape → classify → summarize → store): Gumloop. The native AI integration means you don't need to wire up OpenAI API calls yourself. A "build a spreadsheet of competitor features" pipeline takes minutes, not hours. Example: configure a pipeline that scrapes 50 URLs, extracts pricing tables using Claude, classifies pricing models (per-user vs usage-based), and writes results to Airtable — all without writing code.
Developer-centric workflows (CI/CD integrations, code review automation, on-call rotation): Relay. The Git-native YAML format and self-hosting option make it the only choice that fits a developer's workflow and compliance requirements. Workflows defined in YAML can be version-controlled, reviewed in PRs, and deployed alongside your application code.
Content generation pipelines (blog outlines → AI-drafted → reviewed → published): Gumloop. The AI pipeline builder handles multi-step LLM chains naturally. A content pipeline: RSS feed → extract articles → summarize with Claude → create Notion draft → post to Slack for review. Relay can do this with code blocks but requires more setup and configuration.
Budget-free or high-volume automation: Relay (self-hosted). At zero software cost for unlimited operations, Relay's self-hosted option is the cheapest for any volume above 50K operations/month. The trade-off is that you maintain the Docker infrastructure yourself.
The Bottom Line
The automation tool you choose depends on who will build and maintain the workflows. Make.com is the safe default — it does everything well and has the most integrations. Gumloop is the specialist for AI-heavy processes, and its simplicity for AI workflows is unmatched. Relay is the most developer-friendly option, with Git-native workflows and self-hosting that fits into an engineering team's existing practices. For most indie developers starting out, Make.com's $9/mo plan handles 80% of automation needs. Add Gumloop for the 20% that involve AI processing. As AI capabilities in automation platforms continue to improve, Gumloop's native AI integration will likely become the standard — but in 2026, Make.com's breadth of integrations still makes it the practical choice for most teams.
Pricing Comparison
| Plan | Make.com | Gumloop | Relay |
|---|---|---|---|
| Free tier | 1,000 ops/month | 500 credits | 2 workflows |
| Starter paid | $9/mo (10K ops) | $20/mo (5K credits) | $19/mo (unlimited workflows) |
| Pro | $59/mo (50K ops) | $50/mo (20K credits) | $49/mo (API access) |
| Enterprise | Custom | Custom | Custom |
Make.com offers the best free tier for beginners exploring no-code automation. Gumloop wins on AI-native workflow capabilities — its headless browser and LLM blocks handle complex scraping and data extraction tasks that Make cannot. Relay is the middle ground with a clean UX and fair pricing for small teams.
FAQ
Q: How does Make.com compare to Zapier in 2026? A: Make.com is cheaper and more flexible for complex workflows. Zapier has a better free tier and more integrations. For developers, Make.com's data transformation tools make it the better choice.
Q: Can Gumloop replace a custom Python script? A: For data processing workflows (scrape → extract → format → store), yes. For anything requiring custom libraries, custom infrastructure, or real-time processing, a script is still better.
Q: Is Relay's self-hosted version reliable? A: Yes. Relay runs on Docker with Postgres. The self-hosted version is used in production by several teams. Updates are distributed via Docker images.
Q: Which tool is best for web scraping automation? A: Gumloop (native headless browser + AI extraction) or Make.com (HTTP module + HTML parsing). Relay can do it with Puppeteer in code blocks.
Q: Can these tools handle document generation (PDF reports)? A: Make.com has PDF generation modules. Gumloop can use AI to format content for PDF. Relay can run a Puppeteer/Playwright script for pixel-perfect PDF generation.
Q: Which tool has the best integrations? A: Make.com wins with 1,000+ native connectors. Relay supports 50+. Gumloop focuses on AI-native integrations (OpenAI, Anthropic, Pinecone) over traditional SaaS connectors.
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Related reading on PikVue:
- How to Make Your Web App Accessible in 2026: A Zero-Excuse Guide for Indie Devel
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Originally published at pikvue.com — independent 2026 reviews and comparisons of developer tools, AI products, and SaaS platforms.
來源：DEV Community · dev.to