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Make vs Google Opal 2026: Beginner’s Honest Guide

執筆者 | Last updated Oct 19, 2026

勝者
作る
4.6
  • 2,000以上のアプリ連携
  • ビジュアルドラッグアンドドロップ ビルダー
  • Iterators & Aggregators Built In
  • Custom API Calls via HTTP App
  • Make AI Agents for Smart Tasks
  • 無料プランあり
  • Paid Plans from $9 per month
準優勝
Google Opal BS
3.5
  • Build Mini Apps From Plain English
  • Gemini & Imagen AI Models
  • Google Workspace 統合
  • Starter Templates Gallery
  • Instant Hosting & Share Links
  • Live Step-by-Step Debugging
  • Contact Us for Pricing

⚡ 簡単な評価:

  • 価格: Make has a free plan, then paid plans from $9 per month. Google Opal lists “Contact us for pricing.”
  • 最適な用途: Make for 仕事 workflows across many apps. Google Opal for quick AI mini apps and prototypes.
  • 主な違い: Make connects your favorite apps and moves データ. Opal builds small AIアプリ 簡単な指示から。
  • 私たちのおすすめ: Make for most users. It handles real work that Opal can’t touch yet.
make vs Google Opal

Make and Google Opal both make big promises about automation without writing code.

しかし、それらは同じ用途向けに作られたものではない。

Make is a powerful automation platform that links apps and moves data.

Google Opal turns a plain idea into a small AI app.

One runs your 仕事 workflows. The other helps you test AI ideas fast.

Here’s how to pick the right 自動化ツール あなたの仕事に感謝します。

概要

This Make vs Google Opal comparison covers pricing, key features, ease of use, and integrations.

We also explain who each tool fits best.

私たちの 作家 spent hands-on time with Make directly.

Observations on Google Opal come from Google’s documentation and published reviews.

By the end, you’ll know which one fits your automation journey.

Makeとは何ですか?

Make is a no code automation platform for connecting apps.

It was called Integromat before its rebrand.

Today it belongs to Celonis, a process mining company.

ホームページを作成する

You build workflows on a visual canvas with a drag and drop interface.

Each workflow is called a scenario.

The Make app links actions between more than 2,000 apps.

That lets you automate tasks across various applications in one place.

It helps everyone from フリーランサー to large enterprises automate repetitive tasks.

If an app is missing, the HTTP module handles custom API calls.

仕組みを簡単に見ていきましょう。

Make.comレビュー:あらゆる自動化に最適なAIプラットフォームか?

作る

⭐ 4.6/5 | 💰 From $9 per month

Build multi step workflows across thousands of apps. Start free and scale as you grow.

価格設定

Make uses a pricing model based on operations. Each step a scenario runs counts toward your monthly limit.

プラン価格(年払い)Billed Monthly最適な用途
無料月額0ドル$0Simple workflows and testing
コア月額9ドル$10.59/monthSolo users with steady automations
プロ月額16ドル$18.82/monthAdvanced workflows and priority runs
チーム月額29ドル$34.12/month中小企業 sharing scenarios
企業カスタム価格設定カスタム価格設定Large companies needing control

Pricing verified October 2026.

価格設定

無料トライアル: No separate trial. The free plan works as a permanent trial, and no card is needed.

返金保証: Make doesn’t offer refunds by default. It reviews requests case by case.

📌 注記: Most users pay between $9 and $29 a month. That keeps Make cost effective next to ザピエール, which bills by tasks.

⚠️ 警告: Watch your operation count. Polling triggers and loops burn operations fast, and that’s where surprise upgrades come from.

Key Benefits of Make

Here’s what makes Make worth a look:

  • ビジュアルビルダー: You see every step as a bubble on a map. That makes complex automation easier to follow.
  • Extensive Integration Capabilities: Over 2,000 apps connect out of the box. You can link as many apps as you want in one scenario.
  • 高度な機能: Iterators, aggregators, routers, and filters come standard. You get fine control over how and when tasks run.
  • Custom API Calls: The HTTP app sends HTTP requests to any service. No native module? No problem.
  • エラー処理: Built-in handlers catch failures and reroute data. Error messages show exactly which step broke.
  • Strong Community: Detailed docs and tutorials help you navigate every feature. An active forum means you’ll rarely get stuck alone.
最高のメリットを実現する

私たちのチームが気づいたこと

Our writer signed up for Make and built scenarios for everyday content and lead tasks. Here’s what stood out from that hands-on time:

個人的な体験をする

Make Pros & Cons

✅ メリット
  • Visual workflow builder makes complex logic easy to see
  • Connects 2,000+ apps, plus custom API calls through HTTP
  • Free plan to start, with paid plans from $9 per month
  • Routers, filters, iterators, and error handling built in
❌ デメリット
  • Steep learning curve for advanced workflows
  • Operations-based billing takes time to understand
  • No refunds by default, only case-by-case

Google Opal とは何ですか?

Google Opal is an experimental no-code AI アプリビルダー from Google Labs.

You describe an app in natural language.

Opal turns that description into a visual workflow.

Google Opal ホームページ

Each app uses nodes for input, generate, and output steps.

It chains prompts, AI model calls, and tools into one flow.

文章 comes from Gemini, and images come from Imagen.

When you finish, Opal gives you a shareable link.

Others open it with their own Google accounts.

It started as a US-only public beta.

Google later expanded it to more than 160 countries.

Google pitches it as a lighter option than Microsoft Power Apps.

Power Apps targets large enterprises with far more setup.

By 2026, 75% of new applications are projected to use low-code tools.

Opal is Google’s bet on that shift.

This review video walks through the basics.

Google Opalレビュー:これはZapierやn8nのキラーとなるのか?

Google オパール

⭐ 3.5/5 | 💰 Contact us for pricing

Turn simple prompts into AI powered mini apps. Great for testing AI ideas before you build them for real.

Google Opalの価格設定

Opal doesn’t publish a paid plan list. Here’s what the listing shows.

プラン価格最適な用途
価格価格についてはお問い合わせくださいAnyone testing AI mini apps and prototypes

Pricing verified October 2026.

無料トライアル: You can try Opal by signing in with a Google account.

返金保証: No paid tier is listed, so there’s nothing to refund.

📌 注記: All mini apps and their settings save to your Google Drive. You don’t need separate hosting.

⚠️ Price check: Opal is a Google Labs experiment. It’s currently free to use during its beta. Google could add paid tiers later, so confirm on the Opal site.

⚠️ 気をつけて: Opal apps can’t be exported, so you stay tied to Google. Apps built outside IT oversight can also create shadow IT and technical debt.

Key Benefits of Google Opal

Here’s why Opal gets attention:

  • Vibe Coding: You build app logic through simple conversation. No coding expertise is needed.
  • Two Ways to Build: Chat with Opal or edit nodes in the visual editor. Switch any time.
  • 生産性向上: Experts can build custom internal tools without waiting for IT. That saves days of back-and-forth.
  • Starter Templates: A gallery of ready apps covers blogs, research, and more. Use them as-is or remix them.
  • Google Workspace Ties: Opal works with Docs, Sheets, Gmail, and Drive. That helps small businesses automate simple tasks.
  • Live Debugging: Run a workflow step by step. Real-time errors show where it went wrong.
  • Instant Hosting: Every app gets a link right away. Anyone can test it within minutes.
Google Opalの主なメリット

私たちのチームが気づいたこと

Note: We haven’t had extended hands-on time with Google Opal yet. The details above come from Google’s documentation and published reviews.

Google Opal Pros & Cons

✅ メリット
  • Build AI mini apps by describing them in natural language
  • Runs on Gemini for text and Imagen for images
  • Share any app with a link that works with Google accounts
  • Starter templates help beginners begin in minutes
❌ デメリット
  • Experimental Google Labs tool, so features can change without notice
  • Weak fit for real business automation beyond prototypes
  • Few integrations outside Google Workspace

機能比較

Make and Opal both use a visual approach. But one builds automations and the other builds AI apps. Here are nine features, plus pricing, side by side.

特徴作るGoogle オパール
開始価格月額9ドル価格についてはお問い合わせください
無料プラン✅✅ (free during beta)
ビジュアルワークフロービルダー✅✅
Build From Natural Language❌✅
2,000以上のアプリ連携✅❌
Custom API Calls (HTTP)✅❌
Conditional Logic & Routers✅基本
Built-in AI ModelsVia AI Agents✅ Gemini & Imagen
Starter Templates✅✅
最適な用途Business automationAI prototypes

1. ビジュアルワークフロービルダー

作る: Make’s canvas shows each module as a 丸 linked by lines. You drag in apps, set filters, and watch real time data move through each step. The visual builder makes complex workflows easy to read.

視覚的に自動化をオーケストレーションする

Google オパール: Opal’s visual workflow editor shows input, generate, and output nodes. You can view and modify each step without writing code. It feels lighter, because each app does one focused job.

Google Opalブログ投稿ライター

2. AI and Natural Language

作る: Make AI Agents let you add AI reasoning to scenarios. You still design the flow yourself, though. Make doesn’t build a whole workflow from one prompt.

AIエージェントを作る

Google オパール: This is where Opal shines. You describe what you want, and Opal drafts a functional app. It runs on generative AI from Gemini and Imagen. You can also experiment with different model combinations.

Google Opal City Builder

3. Complex Logic and Multi Step Workflows

作る: Unlike Zapier’s linear Zaps, Make supports branching paths and repeated steps. Rules route data, iterators split lists, and aggregators merge them back. This is what makes Make strong for more complex workflows.

エージェントによる自動化を実現する

Google オパール: Opal chains AI prompts into multi-step flows. That works well for research and content tasks. But deep conditional logic and data processing are limited.

Google Opalの製品調査

⚠️ 警告: Opal is easier to start than Bubble or アダロ. But it’s far less capable for anything past simple prototypes.

4. Integrations and API Calls

作る: Make connects Google Sheets, CRMs, e-commerce stores, and thousands more. The HTTP app handles api integrations with third party services. You can keep syncing data between tools all day.

ITワークフローの自動化を実現する

Google オパール: Opal integrates deeply with Google Workspace, including Docs, Sheets, Gmail, and Drive. Outside Google, options are thin. You can’t plug it into most outside apps yet.

Google Opal Learning with YouTube Remix

5. Social Media and Marketing

作る: Make can post content, track mentions, and move leads between tools. It works with every major social network. You set it up once and let it continue on its own.

ソーシャルメディアの自動化を実現する

Google オパール: Opal’s templates create social posts and marketing copy from a topic. It writes the content, but it doesn’t publish it for you. You still copy and post by hand.

Google Opal ソーシャルメディア投稿リミックス

6. Lead Generation and Sales

作る: Make captures form leads, enriches them, and pushes them to your CRM. Sales teams use it to cut manual work. It also handles customer interactions like follow-up emails.

リード生成を自動化する

Google オパール: Opal can draft sales videos, scripts, and research briefs. HR, marketing, and sales teams can build internal tools without waiting for IT. But it won’t manage a pipeline.

Google Opal Video Marketer Remix

7. Document and Invoice Automation

作る: Make can create contracts from templates and send them for signing. It also handles inventory management and other back-office jobs.

コンタクト自動化

Invoice automation works the same way. Make pulls order data, builds the invoice, and emails it.

請求書作成の自動化

Google オパール: Opal can automate repetitive tasks like summarizing content and writing reports. It’s good for one-off documents. It isn’t built for recurring billing workflows.

作る: Make’s template gallery covers marketing, sales, IT, and finance. You pick one, connect your accounts, and adjust the steps. It’s a fast way into creating automations.

テンプレートギャラリーを作成

Google オパール: Opal’s gallery has starter templates like book picks and product research. You can run them as-is or remix them. Here’s one example.

Google Opalのおすすめ書籍

Another template builds a custom playlist from a short prompt.

Google オパール

9. Ease of Use and Error Handling

作る: Make looks beginner friendly, but advanced workflows take real effort. You need some technical know how for APIs and data mapping. Its error handling tools are strong once you learn them.

Google オパール: Opal is easier for non technical users. You type, test, and share. Live debugging runs workflows step by step and shows errors in real time.

Google Opal ファッションスタイリスト

💡 プロのヒント: New to automation? Start with a Make template, not a blank scenario. You’ll learn the logic faster.

10. 価格設定とコスト

料金プランを並べて比較してみましょう。

プラン作るGoogle オパール
無料月額0ドル—
コア月額9ドル—
プロ月額16ドル—
チーム月額29ドル—
企業カスタム価格設定—
価格—価格についてはお問い合わせください

作る: Make’s pricing plans are clear, and the free plan covers basic features. Annual billing saves money over monthly billing. Just track operations so a busy month doesn’t push you up a tier.

Google オパール: Opal lists no paid plans right now. That makes it cheap to try. But usage-based no-code tools can bring hidden fees as you scale. Plan ahead.

さまざまなシナリオ

必要な場合は選ぶなぜ
予算が限られているGoogle オパールFree to try during beta
Automate workflows across many apps作る2,000+ integrations
Quick AI prototypesGoogle オパールBuilds apps from prompts
Complex logic and routing作るRouters, iterators, filters
Google Workspace onlyGoogle オパールDeep Docs, Sheets, Gmail ties
Long-term business automation作るStable, proven product

💰 あなたの予算

Opal costs nothing to try right now. Make is cheap too, with a free plan and paid tiers from $9.

🔌 あなたの技術スタック

If you live inside Google tools, Opal fits. If you use many apps, Make connects them all in one platform.

🛠️ Your Use Case

Make runs real processes like leads, invoices, and posts. Opal is best for testing AI ideas and building mini apps.

🎓 あなたの経験レベル

Opal is easier for total beginners. Make rewards people willing to learn and dig deeper.

🆓 無料トライアルとデモ

Both let you start free. Build the same small task in each before you commit.

🛟 サポートオプション

Make has paid customer support plus a big community. Opal relies mostly on Google’s docs and forum.

切り替えガイド

既にこれらのツールのいずれかをご利用ですか?切り替える場合、どのような変更が予想されますか?

🔄 Switching from Make to Google Opal?

✅ 得られるもの:

  • Build apps by describing them in plain English
  • Built-in Gemini and Imagen models
  • Instant hosting with shareable links

❌ 失うもの:

  • Access to 2,000+ app integrations
  • Routers, iterators, and error handlers
  • Scheduled scenarios that run on their own

📋切​​り替え方法:

  1. Note which Make scenarios use AI steps
  2. Sign in to Opal with your Google account
  3. Rebuild those AI steps from a template or prompt
🔄 Switching from Google Opal to Make?

✅ 得られるもの:

  • Connections to thousands of apps
  • Advanced logic and data processing
  • A stable product with clear paid plans

❌ 失うもの:

  • Natural language app building
  • Free use during the beta
  • Easy sharing of mini apps via link

📋切​​り替え方法:

  1. List the steps each Opal app performs
  2. Create a free Make account
  3. Rebuild the flow with modules and an AI step

私たちのレビューで取り上げられなかったこと

This comparison focused on small teams and solo users. We didn’t test Make’s Enterprise plan or Opal’s behavior with large data sets. We also skipped governance gaps like missing version control and 監査 ログ。 安全 deserves a look too, since misconfigured apps can leak data. Our notes reflect October 2026 versions, and Opal’s features may shift fast.

最終評決

カテゴリ勝者
🎨 Visual Builder作る
🤖 AI and Natural LanguageGoogle オパール
🧠 Complex Logic作る
🔌 連携機能作る
📣 マーケティングオートメーション作る
👶 使いやすさGoogle オパール
💰価格Google オパール
📄 Templates作る
🏆総合優勝作る

🏆 WINNER: MAKE

Make wins 5 out of 8 categories.

最適な用途: Business automation, multi-app workflows, small businesses scaling up

Make and Google Opal solve different problems. Make is an automation tool that connects apps and keeps work moving.

Opal is a fast way to turn AI ideas into working prototypes. Developers also use it to check UX or logic before writing production code.

Opal is great for startups testing a concept in an afternoon. Need workflows that run your business every day in the real world? Make is the better choice.

More of Make Compared

Both Zapier and Make lead most lists of automation platforms. But Make has other rivals too. Here’s how it stacks up:

Make vs Zapier

勝利を掴もう: branching logic, cheaper operations at scale, a visual canvas you can read at a glance.

Zapierが優れている点: faster setup, a larger app library, simpler linear Zaps for quick jobs.

Make vs n8n

勝利を掴もう: no hosting to manage, friendlier visuals, more ready-made modules.

n8n 勝利したタイトル: self-hosting, code nodes for developers, more control over your data.

Make vs パブリー

勝利を掴もう: deeper data tools, stronger error handling, a bigger community.

Pabbly Connect wins on: lifetime deals, free internal steps, simpler pricing for small users.

Make vs ガムループ

勝利を掴もう: wider app coverage, mature scheduling, more templates.

Gumloopが勝つ理由: AI-first design, easier scraping flows, faster AI pipeline setup.

More of Google Opal Compared

Here’s how Google Opal compares in the wider competitive landscape:

Google Opal vs Zapier

Opal wins on: prompt-based app building, free beta access, built-in Gemini models.

Zapierが優れている点: thousands of app connections, reliable triggers, real business workflows.

Google Opal vs n8n

Opal wins on: zero setup, no coding needed, instant share links.

n8nが勝利: self-hosting, custom code, complex data handling.

Google Opal vs マインドスタジオ

Opal wins on: simpler start, Google Drive storage, a free price tag today.

MindStudio wins on: many AI model choices, deploy options, more business features.

Google Opal vs リプリット

Opal wins on: no code to read, faster mini apps, easier for non-developers.

Replit wins on: full web apps, real code you own, hosting for production projects.

よくある質問

Google Opal とは何ですか?

Google Opal is a no-code AIアプリビルダー from Google Labs. Describe an app in plain words. It creates a visual workflow you can edit and share.

Google Opalは無料ですか?

Yes, for now. Opal is free to use during its beta with a Google account. Google may add paid plans later, so check before you build anything critical.

MakeはZapierより優れているのか?

Make is better for complex logic and lower costs at scale. Zapier is faster for simple, linear automations. Pick based on how complicated your workflows are.

Make.comの料金はいくらですか?

Make has a free plan. Paid plans run $9, $16, and $29 per month billed annually, with custom Enterprise pricing. Monthly billing costs a bit more.

Make.comは使いにくいですか?

Simple scenarios are easy to build. Advanced workflows with APIs, routers, and data mapping have a steep learning curve. Templates and tutorials help a lot.

ファヒム・ジョハーダー、創設者

ファヒム・ジョハーダー、創設者

900種類以上のAIツールをテスト済み。月間読者数25万人以上。

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