⚡ 간단 평가:
- 가격: Lutra has a free plan, then $23/month (billed annually). Google Opal lists “Contact us for pricing.”
- 다음과 같은 경우에 가장 적합합니다: Lutra for data enrichment, lead research, and email 오토메이션. Opal for quick AI 앱 prototypes.
- 주요 차이점: Lutra runs real tasks inside your apps. Opal builds small AI apps you can share.
- 저희가 선택한 제품: Lutra (3.9/5) for most users. Its finders, extractors, and Gmail drafting handle daily 사업 일하다.
Lutra AI and Google Opal both let you build AI workflows in plain English.
Both make big promises, but that’s where the overlap ends.
Lutra is an AI agent that does real work across your existing apps.
Opal is a Google Labs tool for building small AI apps fast.
One helps your sales team fill spreadsheets and automate emails.
The other helps you test AI ideas before writing code.
개요
This Lutra vs Google Opal comparison covers pricing, features, security, and ease of use.
We also show which kind of user each tool fits best.
우리의 작가 spent hands-on time with Lutra AI directly.
Observations on Google Opal come from Google’s documentation and public reviews.
결국에는 어떤 플랫폼이 여러분의 작업 흐름에 가장 적합한지 알게 될 것입니다.
루트라란 무엇인가요?
Lutra AI is an intelligent 어시스턴트 that completes work tasks across multiple applications.
It connects your work apps through deep integrations, not fragile screen tricks.
You describe a job in natural language, and Lutra builds the workflow.
It feels like conversational AI that actually finishes the job.
Lutra pitches itself as the first productivity agent for your whole digital workspace.
Jiquan Ngiam and Bo Zhi See built it to cut app-switching from work life.
Here’s a quick look at Lutra in action.
🏆 Winner: Lutra
Turn plain-English requests into automations that run on their own. Find leads, enrich data, and draft emails in one place.
Loading...
Here’s what Lutra costs in 2026. All plans share one credit system.
| 계획 | 가격 | 가장 적합한 대상 |
|---|---|---|
| 무료 | $0 | Testing simple automations |
| 필수적인 | Loading... | 개인 사용자 및 소규모 팀 |
| 전문적인 | Loading... | Heavy research and enrichment work |
| 기업 | 맞춤 가격 책정 | Large enterprises needing SSO and audit trails |
Pricing verified October 2026.
무료 체험: No trial needed. The free plan lets you test Lutra before paying.
환불 보장: Lutra doesn’t publish a refund policy. Check the terms before you upgrade.
📌 메모: Lutra charges credits for AI-heavy actions. Your monthly credits refresh automatically. Web searches and data enrichment burn more credits than simple steps.
⚠️ 경고: The paid prices above are billed annually. Monthly billing may cost more, so check at checkout.
Key Benefits of Lutra
Here’s what makes Lutra worth a look:
- Plain-English automation: Describe the task, even complex workflows, and Lutra builds it. You can automate workflows without coding skills.
- Actual code under the hood: Lutra writes and runs actual code to complete tasks. That helps ensure consistent outcomes on every run.
- Scheduled runs: Workflows continue running on a schedule, even when you’re offline. Reports land without you clicking a thing.
- 공유 가능한 플레이북: Save workflows called Playbooks and share them across your company. This helps standardize processes.
- Less app-switching: Lutra pulls your tools into one place. Reviewers say this saves real time on data and research work.
- Security focus: Lutra is SOC 2 Type II certified and uses end-to-end encryption. It doesn’t keep your data long-term unless you ask.
우리 팀이 발견한 점
Our writer signed up for Lutra and ran a few lead and research workflows. Here’s what stood out from that hands-on time:
Lutra Pros & Cons
✅ 장점
- Builds workflows from plain-English prompts
- Runs actual code for consistent results
- SOC 2 Type II certified with end-to-end encryption
- 결제 전에 무료로 체험해 보세요.
- Workflows run on a schedule, even offline
❌ 단점
- Credit system makes costs harder to predict
- Some learning curve to unlock advanced use
- Paid prices are quoted with annual billing
구글 오팔이란 무엇인가요?
Google Opal is an experimental no-code builder from Google Labs.
It lets you create AI powered mini apps with simple prompts.
You describe the app, and Opal turns it into a visual workflow.
This style of building is often called vibe coding.
Think of it as Google’s take on artificial intelligence for non-coders.
It brings generative AI to people who have never written a line of code.
Opal launched as a US-only public beta, then expanded to over 160 countries.
This review video walks through how Opal works.
구글 오팔
Go from idea to functional app without code. Share it with one link and let others run it.
구글 오팔 가격
Opal doesn’t show a standard plan list yet. Here’s what Google lists.
| 계획 | 가격 | 가장 적합한 대상 |
|---|---|---|
| 가격 | 가격 문의는 저희에게 연락주세요. | Teams wanting a quote for ongoing use |
Pricing verified October 2026.
무료 체험: You sign in with a Google account and start building. No card step is listed.
환불 보장: None listed, since there’s no published paid plan.
📌 메모: Your apps and settings live in your Google Drive. People you share with run the app on their own Google accounts.
⚠️ Price check: Some review sites list Opal as free during its public beta. Confirm current terms before you build anything critical.
Key Benefits of Google Opal
Here’s why Opal earns attention:
- Zero-code start: Describe an app in plain words. Opal builds the first draft for you.
- Visual workflow editor: See every input, generate, and output node. Modify any step without writing a script.
- Google models built in: Opal uses Gemini for text and Imagen for images. You can experiment with model and tool combinations.
- Starter templates: A gallery of ready apps gives you a head start. Use them as-is or remix them.
- 즉시 공유: Opal hosts every mini app for you. Anyone with the link can use it right away.
- No IT queue: Subject experts build their own internal tools. No IT ticket required.
우리 팀이 발견한 점
Note: We haven’t had extensive hands-on time with Google Opal yet. The details above come from Google’s documentation and public reviews.
Google Opal Pros & Cons
✅ 장점
- Easy to start with no coding skills
- Visual editor shows every workflow step
- Shareable link with instant hosting
- Works inside Docs, Sheets, Gmail, and Drive
❌ 단점
- Experimental features may change without notice
- Built for prototypes, not complex apps
- Apps aren’t portable outside Google’s tools
기능 비교
Here’s how Lutra AI and Google Opal handle the jobs that matter most. We compare nine features, then pricing.
| 특징 | 루트라 | 구글 오팔 |
|---|---|---|
| 시작 가격 | Loading... | 가격 문의는 저희에게 연락주세요. |
| 무료 플랜 | ✅ | ❌ 목록에 없음 |
| Natural Language Builder | ✅ | ✅ |
| Visual Node Editor | ❌ | ✅ |
| Runs Actual Code | ✅ | ❌ |
| Lead & Data Enrichment | ✅ | ❌ |
| Google Workspace 연동 | ✅ | ✅ |
| MCP Support | ✅ | ❌ |
| SOC 2 유형 II | ✅ | ❌ 명시되지 않음 |
| 가장 적합한 대상 | Business automation | Fast AI prototypes |
1. Building Workflows With Natural Language
루트라: Lutra turns a plain request into a working automation. Ask it to pull data from a site, and it writes the steps. Lutra AI ensures each run follows those same steps.
구글 오팔: Opal uses vibe coding to turn prompts into apps. It offers two modes: a chat box and a visual editor. You can switch between them while you build.
⚠️ 경고: Lutra has a learning curve for advanced, multi-step jobs. Start with one small task and build up.
2. Data Extraction and Structured Data
루트라: Lutra pulls structured data from websites, PDFs, and documents. It reads PDFs in Google Drive and organizes the results in Sheets. It also reconciles expenses, builds invoices from sales data, and converts file formats.
구글 오팔: Opal can process data through AI model calls, but it isn’t a 스크레이퍼. Its Product Research template turns web info into a summary. Output is text or images, not a clean database.
3. Lead Generation and Data Enrichment
루트라: This is Lutra’s home turf. It finds phone numbers and profiles, then enriches leads with fresh details. It can pull contacts from LinkedIn and listings from Zillow and Redfin.
The Profile Finder workflow works the same way for people searches.
구글 오팔: Opal has no built-in lead finder. Its marketing templates, like Social Media Post Remix, help with content instead. You’d still need a separate enrichment tool.
4. Email Management
루트라: Lutra drafts Gmail replies and follow-ups for you. It runs personalized email campaigns at scale using CRM data. It also tracks results, and it handles campaign management and audience segmentation for marketers.
구글 오팔: Opal connects to Gmail through its Workspace integration. But it doesn’t run 쭉 내밀다 sequences or follow-ups. It’s better for one-off drafts, like a video marketing script.
💡 꿀팁: Big Lutra email campaigns can eat credits fast. Test with a small list first.
5. Web Research and Reports
루트라: Lutra runs web searches and turns piles of data into cited reports. It can update research databases on its own. Recruiters also use it to pull job listings into structured spreadsheets.
Its PubMed RSS report shows how it handles niche sources.
구글 오팔: Opal can automate reports, summaries, and other repetitive tasks. Templates like Learning with 유튜브 turn videos into study notes. Results look polished, but they aren’t saved to a database.
The Book Recs template is a lighter, everyday example.
6. Visual Editor, Debugging, and Visualizations
루트라: Lutra has no drag-and-drop canvas. You edit workflows by chatting with it. It can still build visualizations, like a cross-platform app analysis dashboard.
구글 오팔: Opal shines here. Every app is a chain of input, generate, and output nodes that’s easy to navigate. Live debugging lets you run step by step and see errors in real time.
7. Integrations and Custom Integrations
루트라: Lutra links Google Workspace, Microsoft, Slack, GitHub, HubSpot, 에어테이블, LinkedIn, Outlook, and Stripe. Data flows between those systems without copy-paste. It supports MCP through the Model Context Protocol for custom integrations.
구글 오팔: Opal sticks to Google’s world: Docs, Sheets, Gmail, and Drive. That suits 소규모 사업체 already running on Google. Other apps outside Google are harder to reach.
8. Security and Data Control
루트라: Data security is a core pillar for Lutra. It holds SOC 2 Type II and uses end-to-end encryption. Every connection uses secure authentication. Enterprise plans add SSO, RBAC, audit trails, observability, and guardrails.
구글 오팔: Opal stores your apps in Google Drive. Google hasn’t published Opal-specific security certifications. No-code tools also tend to lack version control and audit logs.
✅ 알아두면 좋아요: AI systems that touch private data need guardrails. Lutra limits access to private data, outside systems, and untrusted content. Experts call that mix the “lethal trifecta.”
⚠️ 경고: Watch for shadow IT with Opal. Staff can build unsanctioned apps, and setup mistakes can leak data.
9. Templates, Sharing, and Ease of Use
루트라: Lutra lets you save Playbooks and share them with your team. It scales from small teams to large enterprises. That makes it highly versatile across sales, finance, HR, and 부동산.
구글 오팔: Opal’s starter templates are the fastest way to begin. Share any app, and others run it with their Google accounts. It’s easier than Bubble.io or 아달로, but far less powerful.
10. 가격 및 비용
요금제를 나란히 비교해 보겠습니다.
| 계획 | 루트라 | 구글 오팔 |
|---|---|---|
| 무료 | $0 | 목록에 없음 |
| 필수적인 | Loading... | 목록에 없음 |
| 전문적인 | Loading... | 목록에 없음 |
| 기업 | 맞춤 가격 책정 | 목록에 없음 |
| Official Pricing | Published plans | 가격 문의는 저희에게 연락주세요. |
루트라: Lutra’s pricing is clear, with a free plan and two paid tiers. Credits refresh monthly, and Enterprise gets higher limits with custom allocations. Heavy enrichment jobs fit the Professional plan.
구글 오팔: Opal shows contact-us pricing instead of plans. That makes budgeting harder for any company. Expect pricing information to shift as the experiment matures.
다양한 시나리오
| 필요하시면 | 선택하다 | 왜 |
|---|---|---|
| Clear, predictable costs | 루트라 | Free plan and published prices |
| Lead lists and enrichment | 루트라 | Built-in finders and enrichment |
| Fast AI app prototypes | 구글 오팔 | Vibe coding plus visual editor |
| Strict data security | 루트라 | SOC 2 Type II and audit trails |
| Google-only workplace | 구글 오팔 | Native Docs, Sheets, Gmail, Drive |
| 초보자에게 적합한 시작 | 구글 오팔 | Starter templates, no setup |
💰 예산
Lutra’s free plan and posted prices make costs easy to plan. Opal only says contact us, and no-code tools can add hidden usage costs.
🔌 사용 중인 기술 스택
Mixed tools like Slack, HubSpot, and Stripe point to Lutra. If your team lives in Google Workspace, Opal fits right in.
📝 나만의 워크플로우 스타일
Pick Lutra when you want to automate tasks that repeat every week. Pick Opal when you need a quick proof of concept.
🎓 귀하의 경험 수준
Beginners will find Opal’s templates easier on day one. Lutra takes longer to learn but goes much deeper.
🆓 무료 체험 및 데모
Run one real task on Lutra’s free plan. In Opal, try a starter template before proceeding to a custom build.
🛟 지원 옵션
Lutra adds extra security and support features on enterprise plans. Opal is a Labs experiment, so innovation comes fast and features can vanish.
전환 가이드
이미 이러한 도구 중 하나를 사용하고 계신가요? 전환 시 예상되는 사항은 다음과 같습니다.
🔄 Switching from Lutra to Google Opal?
✅ 얻게 될 이점:
- A visual node editor with live debugging
- Instant hosting and one-link sharing for mini apps
- Built-in Imagen image generation
❌ 잃게 될 것:
- Lead finders and data enrichment
- Scheduled workflows that run offline
- SOC 2 Type II and MCP security controls
📋 전환 방법:
- List your Lutra Playbooks and note each step.
- Sign in to Opal with your Google account.
- Rebuild key flows from a template or a plain prompt.
🔄 Switching from Google Opal to Lutra?
✅ 얻게 될 이점:
- Integrations well beyond Google’s apps
- Data enrichment and email outreach at scale
- Workflows that run actual code on a schedule
❌ 잃게 될 것:
- The visual node canvas
- Public mini apps others open with one link
- The ready-made template gallery
📋 전환 방법:
- Save the outputs of your Opal apps from Google Drive.
- Create a free Lutra account and connect your work tools.
- Describe each Opal workflow to Lutra in plain words.
저희 리뷰에서 다루지 않은 내용
This comparison focused on solo users, startups, and small teams. We didn’t test Lutra’s Enterprise plan, SSO setup, or custom credit limits. We also didn’t build a production app in Opal, since it’s still an experiment. Everything here reflects October 2026 versions, and features may change.
최종 판결
| 범주 | 우승자 |
|---|---|
| 🧠 Natural Language Building | 구글 오팔 |
| Loading... | 루트라 |
| 🎯 잠재고객 발굴 | 루트라 |
| 📧 이메일 관리 | 루트라 |
| 🔎 Research & Reports | 루트라 |
| 🖥️ Visual Editor & Debugging | 구글 오팔 |
| 🔌 통합 | 루트라 |
| 🔒 보안 | 루트라 |
| 👶 Templates & Ease of Use | 구글 오팔 |
| 💰 가격 투명성 | 루트라 |
| 🏆 종합 우승 | 루트라 |
🏆 WINNER: LUTRA
Lutra wins 7 out of 10 categories.
다음과 같은 경우에 가장 적합합니다: Sales teams, research workflows, data-heavy automation
Lutra AI and Google Opal solve different problems. Lutra is a productivity agent that does real work across your apps. Opal is a sandbox for turning AI ideas into small apps.
Opal is great for fast prototypes and learning how AI apps work. Developers can use it to check UX or logic before writing production code.
For daily automation, data enrichment, and email outreach, Lutra is the better choice. Unlike other AI 비서 that only chat, it finishes the work. Its security record and published prices make it easier to trust with business data.
More of Lutra Compared
Here’s how Lutra stacks up against other automation tools:
Loading... 자피어
Lutra wins on: plain-English setup, built-in lead enrichment, and web research with citations.
Loading... a far larger app library, trigger-based automations, and a longer track record with teams.
Lutra wins on: no diagram building, AI that writes the steps, and Gmail drafting out of the box.
Loading... a detailed visual scenario canvas, advanced branching, and fine control over each module.
Lutra wins on: zero setup, beginner-friendly chat building, and SOC 2 Type II hosting.
n8n 승리 항목: open-source code, self-hosting on your own servers, and custom code nodes for developers.
Loading... 검룹
Lutra wins on: chat-first building, scheduled offline runs, and MCP security controls.
Loading... a drag-and-drop AI canvas, visible node-by-node logic, and ready scraping blocks.
More of Google Opal Compared
In the competitive landscape, Google positions Opal against the more complex Microsoft Power Apps. Here’s how it compares with other 건축업자:
구글 오팔 vs 자피어
Google Opal wins on: AI-first app building, built-in Gemini and Imagen, and shareable mini apps.
Loading... connections to non-Google apps, background triggers, and production-ready reliability.
Google Opal vs 마인드스튜디오
Google Opal wins on: a simpler first build, a quick Google sign-in, and native Workspace links.
MindStudio wins on: a choice of many AI models, deeper agent logic, and more ways to deploy.
Google Opal vs 리플릿
Google Opal wins on: no code to read, a visual node view, and faster idea-to-app time for non-coders.
Replit wins on: real, exportable code, full-stack apps with databases, and far more power for developers.
자주 묻는 질문
Lutra AI는 무엇에 사용되나요?
It automates data enrichment, research, email outreach, and reports across your work tools. Sales, marketing, finance, and HR teams use it to cut manual, repetitive work.
Lutra AI는 안전한가요?
Yes. It’s SOC 2 Type II certified and uses end-to-end encryption. It doesn’t keep your data long-term unless you ask. Enterprise plans add SSO and audit trails.
Lutra AI는 누가 만들었나요?
Jiquan Ngiam and Bo Zhi See founded it. They wanted people to save time and focus by connecting work tools in one place.
구글 오팔이란 무엇인가요?
It’s an experimental no-code builder from Google Labs. You describe an app in plain language, and it creates a visual workflow powered by Gemini and Imagen.
구글 오팔은 무료인가요?
Google lists contact us for pricing. Many people currently use it through the public beta, so check current terms before relying on it for work.
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