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Make vs Lutra 2026: Which Fits Your Workflow?

von | Last updated Oct 19, 2026

Gewinner
machen
4.6
  • Connects 2,000+ Apps
  • Visual Drag and Drop Bauherr
  • Built-in AI Agents
  • Iterators, Filters & Error Handling
  • Custom APIs via HTTP Module
  • Kostenloser Plan verfügbar
  • Paid Plans from $9 per month
Zweiter
Lutra
3.9
  • Plain-English Task Requests
  • Data Extraction & Enrichment
  • SOC 2 Typ II zertifiziert
  • PDFs to Google Sheets
  • Shareable Playbooks
  • Kostenloser Plan verfügbar
  • Bezahlte Abonnements ab 23 $/Monat

⚡ Quick Verdict:

  • Preisgestaltung: Make starts at $9 per month. Lutra starts at $23/month, billed annually.
  • Ideal für: Make for multi step workflows across many apps. Lutra for data enrichment and web research.
  • Hauptunterschied: Make uses a visual builder. Lutra takes requests in plain English.
  • Our pick: Make for most people. It costs less and handles far more workflow types.
make vs Lutra
make vs Lutra

Make and Lutra both promise to automate tasks you hate doing by hand.

But they come at the problem from opposite ends.

Make gives you a canvas and lets you draw your workflow.

Lutra lets you type what you want and builds the steps for you.

One rewards patience. The other rewards clear instructions.

Überblick

This Make vs Lutra comparison covers pricing, key features, ease of use, and Sicherheit.

We reviewed documentation, pricing pages, and user reviews for both Automatisierung Plattformen.

Our writers also spent hands-on time with each one.

Those notes appear in the “What Our Team Noticed” sections below.

Want to dig deeper? Each tool has a full review linked below.

Was ist Make?

Make is a no code Automatisierung Plattform.

It connects your favorite apps so data moves between them on its own.

You build each workflow on a visual canvas, without writing code.

Startseite erstellen

It links actions across various applications, more than 2,000 in all.

Freiberufler, small businesses, and large enterprises all use it.

Here’s a quick look at how the Make app works.

Make.com im Test: Die beste KI-Plattform für jede Art von Automatisierung?

Machen

⭐ 4.6/5 | 💰 From $9 per month

Build complex automation on a visual canvas. Route data with filters, routers, and conditional logic. Start free and upgrade when you outgrow it.

Preisgestaltung

Make’s pricing model is based on operations. Each step a workflow runs counts toward your monthly limit.

PlanenPreisAm besten geeignet für
Frei0 € pro MonatSimple workflows and learning the builder
Kern9 US-Dollar pro MonatSolo users running steady automations
Pro16 US-Dollar pro MonatFortgeschrittene Benutzer, die erweiterte Funktionen benötigen
Teams29 US-Dollar pro MonatTeams sharing scenarios and roles
UnternehmenIndividuelle PreisgestaltungGroße Unternehmen mit Sicherheitsbedarf

Pricing verified October 2026.

Preisgestaltung

Kostenlose Testversion: There is no separate trial. The free plan works as a permanent trial, with no credit card needed.

Geld-zurück-Garantie: Make doesn’t offer refunds by default. It reviews requests case by case.

📌 Notiz: Prices above reflect annual billing. Paying monthly costs $10.59 for Core, $18.82 for Pro, and $34.12 for Teams.

⚠️ Warnung: There are no hidden fees, but operations add up fast. Creating automations is free, yet each run of a ten-step scenario uses ten operations.

Key Benefits of Make

Here’s what makes Make worth considering:

  • Visueller Workflow-Generator: You drag modules onto a canvas and link them. You see every path your data takes.
  • Extensive Integration Capabilities: Make works with thousands of apps. You can add as many apps as you need to one workflow.
  • Complex Logic Without Code: Iterators, aggregators, routers, and filters come built in. No coding expertise is required.
  • Custom API Calls: Can’t find an app? The HTTP module sends HTTP requests to almost any third party services.
  • Fehlerbehandlung: You decide what happens when a step fails. Clear error messages show where things broke.
  • Große Gemeinde: Make has deep documentation, tutorials, and an active forum. Help is easy to find as you build workflows.
Sichern Sie sich Top-Leistungen

What Our Team Noticed

Our writer used Make to move form leads into Google Sheets and a CRM. Here’s what stood out from that hands-on time:

Persönliche Erfahrungen sammeln

Make Pros & Cons

✅ Vorteile
  • Paid plans start at just $9 per month
  • Visual canvas shows every branch and filter
  • Handles branching, loops, and error routes
  • HTTP module connects apps without native support
❌ Nachteile
  • Steep learning curve for advanced workflows
  • Operation counts can be hard to predict
  • Refunds are only handled case by case

Was ist Lutra?

Lutra AI is an intelligent Assistent for work across multiple applications.

You describe a job in natural language, and it carries it out.

It specializes in data enrichment, research, and E-Mail-Verwaltung.

Lutra Homepage

Jiquan Ngiam and Bo Zhi See created it to cut app-switching.

The company calls it the first productivity agent for your whole workspace.

Watch Lutra handle a real request in this walkthrough.

https://youtu.be/LcT7_w2Ja9M?si=6yrP1-MG_povOhX4

Lutra

⭐ 3.9/5 | 💰 From $23/month

Type a task and let the AI agent do the clicking. It can fill spreadsheets, enrich leads, and draft emails for you.

Lutra Pricing

Lutra uses a credit system. Every account gets monthly credits that refresh on their own.

PlanenPreisAm besten geeignet für
Frei$0Trying a few simple tasks
Essentiell$23/month (billed annually)Solo users with regular research jobs
Professional$63/month (billed annually)Heavy enrichment and outreach work
UnternehmenIndividuelle PreisgestaltungCompanies needing SSO and Prüfung Wanderwege

Pricing verified October 2026.

Lutra Pricing

Kostenlose Testversion: The free plan lets you test Lutra with a small credit allowance.

Geld-zurück-Garantie: Lutra doesn’t advertise a set refund window. Ask support before you commit to annual billing.

📌 Notiz: Not all tasks cost the same. Web searches and data enrichment burn more credits than simple actions.

⚠️ Warnung: Paid plan prices are for annual billing. Check your credit use on the free plan first.

Key Benefits of Lutra

Here’s what makes Lutra worth considering:

  • Natural Language Automation: You type what you need. Lutra builds and runs the steps.
  • Runs Actual Code: Lutra executes real code behind each task. That helps ensure consistent outcomes every run.
  • Tiefe Integrationen: It plugs into Google Workspace, Microsoft, Slack, HubSpot, and many other apps.
  • Datensicherheit: Lutra is SOC 2 Type II certified with end-to-end encryption. It doesn’t store data long-term unless you ask.
  • Spielbücher: Save a task, then share it with your team. This helps standardize processes across a company.
  • Geplante Fahrten: Workflows can run on a schedule, even when you’re offline.
Lutra Top Benefits

What Our Team Noticed

Unser Schriftsteller signed up for Lutra and asked it to pull and enrich lead lists. Here’s what stood out:

Lutra Personal Experience

Lutra Pros & Cons

✅ Vorteile
  • Plain-English requests replace manual setup
  • Strong at research, scraping, and enrichment
  • SOC 2 Type II certified security
  • Playbooks make good tasks repeatable
❌ Nachteile
  • Paid plans cost more than Make’s
  • Credit burn is uneven across task types
  • Smaller app list than dedicated automation tools

Funktionsvergleich

Make is a workflow builder. Lutra is an AI agent that does work for you. Here’s how they compare across ten areas.

BesonderheitMachenLutra
Startpreis9 US-Dollar pro Monat$23/month (annual)
Kostenloser Plan✅✅
Visual Drag and Drop Builder✅❌
KI-Agenten✅✅
Built-in Web Research❌✅
Custom APIs✅ HTTP module✅ via MCP
Iterators & Error Handling✅❌
Shareable Templates✅ Vorlagen✅ Playbooks
Am besten geeignet fürComplex automationResearch and data tasks

1. AI Agents

Machen: Make AI Agents sit inside your scenarios. You give an agent a goal and the tools it may use. It then decides which step to take next.

KI-Agenten erstellen

Lutra: The whole product is the agent. You chat with it like other KI-Assistenten, but it acts across your work apps. It can research YouTube videos and summarize them on request.

Lutra Youtube Video Researcher

2. Reliability and Consistent Outcomes

Machen: Agentic automation mixes AI decisions with fixed steps. You keep strict rules where they matter. AI only handles the fuzzy parts.

Agentische Automatisierung erstellen

Lutra: Lutra AI ensures repeatable results by writing and running actual code. That beats a chatbot guessing each time. Its PubMed RSS report shows how scheduled tasks can automate reports.

Lutra Generate PubMed RSS Report

3. Workflow Building and Ease of Use

Machen: The drag and drop interface lets you see each module, route, and filter. Simple workflows take minutes. More complex workflows take practice, so expect a steep learning curve.

Automatisierung visuell orchestrieren

Lutra: There’s no canvas to learn. You type, and conversational AI handles the setup. It can also build visualizations, like a cross-platform app analysis dashboard.

Lutra Cross Platform App Analysis Dashboard

💡 Profi-Tipp: Lutra feels more beginner friendly on day one. Some reviewers still mention a learning curve in finding everything it can do.

4. Data Extraction and Enrichment

Machen: Make can process data from invoices, forms, and files. Parsing tools reshape it before it lands in Google Sheets.

Rechnungsautomatisierung

Lutra: This is Lutra’s home turf. It finds structured data on web pages, PDFs, and docs, then enriches each row. It can turn Google Drive PDFs into tidy Sheets.

Lutra Data Extraction & Enrichment

5. Lead Generation

Machen: Make moves leads from ads, forms, and landing pages into your CRM. It scores, tags, and routes them by rules you set.

Automatisierte Leadgenerierung

Lutra: Lutra builds the lead list itself. It scrapes contact details from sites like LinkedIn and enriches each profile. A sales team gets ready-to-use records.

Lutra LinkedIn Profile Enrichment

6. Marketing and Email Automation

Machen: Make can post to social channels on a schedule. It also syncs customer interactions across tools, which helps e commerce stores keep inventory updated.

Social-Media-Automatisierung

Lutra: Lutra can automate emails with CRM data. It drafts personalized campaigns and Gmail replies, then sends follow-ups and tracks the results.

Lutra Auto-draft Gmail Replies

7. Integrations and Custom APIs

Machen: With 2,000+ apps, Make covers most tools you already use. The HTTP module handles custom API calls for everything else. That makes it great for syncing data across IT systems.

IT-Workflow-Automatisierung

Lutra: Lutra connects to existing apps like Outlook, Stripe, and HubSpot. It supports MCP (Model Context Protocol) for custom integrations, with SSO, RBAC, and audit trails.

Lutra data Extractor

⚠️ Warnung: Lutra’s app list is shorter. Check your must-have tools before you pay for a plan.

8. Templates and Playbooks

Machen: The templates gallery gives you ready-made scenarios. Pick one, connect your accounts, and tweak the steps.

Vorlagengalerie erstellen

Lutra: Playbooks are saved tasks you can share across your company. A profile finder playbook, for example, runs the same way for everyone.

Lutra Profile Finder

9. Business Workflows by Team

Machen: Make is highly versatile. It runs contract approvals for legal, invoices for finance, and tickets for IT.

Kontaktautomatisierung erstellen

Lutra: Lutra serves sales, recruiting, finance, and Immobilie. It finds phone numbers, sources candidates, reconciles expenses, and scrapes Zillow listings.

Lutra Number Finder

10. Preisgestaltung & Kosten

Here are both pricing plans side by side.

PlanenMachenLutra
Frei0 € pro Monat$0
EintragCore: $9 per monthEssential: $23/month (billed annually)
MittePro: $16 per monthProfessional: $63/month (billed annually)
TeamTeams: $29 per month—
UnternehmenIndividuelle PreisgestaltungIndividuelle Preisgestaltung

Machen: Make is the cost effective pick. Most paid plans fall between $9 and $29. Reviewers often say it beats Zapier and Pipedream on price.

Lutra: Lutra costs more, but each credit does heavier work. One task can replace hours of manual research.

Verschiedene Szenarien

Falls Sie Folgendes benötigen:WählenWarum
Knappes BudgetMachenPaid plans start at $9
Advanced workflows with branchingMachenRouters, iterators, error routes
Lead research and enrichmentLutraScrapes and enriches on request
Connecting niche appsMachen2,000+ apps plus HTTP
Zero setup for non technical usersLutraType tasks in plain English
Strict data securityLutraSOC 2 Type II, MCP guardrails

💰 Ihr Budget

Make wins on raw cost. Lutra makes sense when one task saves hours of research.

🔌 Dein Tech-Stack

Many tools, or niche ones? Pick Make. Mostly Google Workspace and Microsoft? Lutra covers you.

⚙️ Your Workflow Style

Make suits always-on pipelines that run thousands of times. Lutra suits jobs where an AI must read, search, and decide.

🎓 Dein Erfahrungslevel

New to automation? Lutra needs little technical know how. Make takes longer to learn but gives more control.

🆓 Kostenlose Testversionen und Demos

Both offer a free plan. Run one real task in each before you pay.

🛟 Supportoptionen

Make’s customer support is backed by a huge community and tutorials. Lutra’s resources are smaller but growing.

🔒 Data Privacy and Security

Lutra uses secure authentication on every connection. It also limits risky mixes of private data, external systems, and untrusted content.

Umstellungsleitfaden

Nutzen Sie bereits eines dieser Tools? Hier erfahren Sie, was Sie beim Wechsel erwartet.

🔄 Switching from Make to Lutra?

✅ Was Sie davon haben:

  • Tasks set up by typing, not building
  • Built-in web searches and lead enrichment
  • SOC 2 Type II security with MCP controls

❌ Was Sie verlieren werden:

  • The visual canvas and fine control
  • A much larger app library
  • Niedrigere monatliche Kosten

📋 So wechseln Sie:

  1. List your Make scenarios and what each one does.
  2. Create a free Lutra account and connect your apps.
  3. Describe each task in plain English and save it as a Playbook.
🔄 Switching from Lutra to Make?

✅ Was Sie davon haben:

  • Cheaper plans for high-volume runs
  • Iterators, routers, and error handling
  • 2,000+ apps and HTTP module access

❌ Was Sie verlieren werden:

  • Plain-English task creation
  • Native research and scraping
  • Shareable Playbooks

📋 So wechseln Sie:

  1. Write down the steps each Lutra Playbook performs.
  2. Sign up for Make’s free plan and connect your apps.
  3. Rebuild each task from a template or a blank scenario.

What Our Review Didn’t Cover

This comparison focused on solo users and small teams. We didn’t evaluate Enterprise plans, custom pricing, or high-volume runs with millions of operations. We also didn’t measure real time data speed or long-term credit costs at scale. Features reflect October 2026 versions and may change.

Endgültiges Urteil

KategorieGewinner
💰 PreisgestaltungMachen
🧩 Workflow BuilderMachen
🧠 Complex Logic & Error HandlingMachen
🔌 IntegrationenMachen
📚 Vorlagen & CommunityMachen
🔍 Data Enrichment & ResearchLutra
🤖 KI-AgentenLutra
👶 BenutzerfreundlichkeitLutra
🏆 GesamtsiegerMachen

🏆 WINNER: MAKE

Make wins 5 out of 8 categories.

Ideal für: Multi-app automation, budget-minded teams, complex workflows

Make is a powerful automation platform for people who want control. It costs less and connects more apps. Its visual approach turns messy Geschäft workflows into clear diagrams.

Lutra is the better fit for research-heavy work. If your days involve web searches, lead lists, and messy spreadsheets, Lutra saves real time. It lets you skip the builder and just ask.

Still, most readers want one tool that runs reliably in the background. For that, Make is the stronger choice. Start on the free plan and grow from there.

More of Make Compared

Here’s how Make stacks up against other automation tools:

Make vs Zapier

Make wins on: branching paths, lower entry price, and deeper data parsing. Unlike Zapier, it bills per operation.

Zapier wins on: a simpler linear setup, a larger app library, and faster onboarding.

Make vs n8n

Make wins on: zero hosting work, a friendlier canvas, and a bigger template gallery.

n8n wins on: open-source code, self-hosting, and code nodes for developers.

Make vs Pabbly Verbinden

Make wins on: more native apps, stronger error handling, and built-in AI agents.

Pabbly Connect wins on: lifetime deals, free internal steps, and simpler billing.

More of Lutra Compared

Here’s how Lutra stacks up against other AI workflows tools:

Lutra vs Zapier

Lutra wins on: chat-based setup, native web research, and lead enrichment.

Zapier wins on: thousands more apps, lower starting cost, and mature trigger-action automation.

Lutra vs Gumloop

Lutra wins on: no node building, SOC 2 Type II security, and shareable Playbooks.

Gumloop wins on: a visual AI pipeline builder, scraping nodes, and step-level control.

Lutra vs MindStudio

Lutra wins on: ready-to-use task agent, CRM-driven email, and Google Drive extraction.

MindStudio wins on: building custom KI-Apps, model choice, and branded agent interfaces.

Häufig gestellte Fragen

Ist Make besser als Zapier?

For complex logic and lower cost, yes. Zapier is simpler and has more apps. Make gives you branching, iterators, and better control over how data is processed.

Ist Make.com schwer zu bedienen?

Basic tasks are easy to set up. Advanced workflows take practice, especially with API integrations. Templates and tutorials shorten your automation journey.

Wie viel kostet Make.com?

There’s a free plan. Paid plans are Core at $9, Pro at $16, and Teams at $29 per month. Enterprise uses custom pricing.

Ist Lutra AI sicher?

Yes. It is SOC 2 Type II certified and uses end-to-end encryption. It doesn’t keep your data long-term unless you ask it to.

Wozu wird Lutra AI verwendet?

It handles data extraction, lead enrichment, web research, and email follow-ups. You describe the job, and the agent works to complete tasks across your connected apps.

Fahim Joharder, Gründer

Fahim Joharder, Gründer

Über 900 KI-Tools getestet. Mehr als 250.000 monatliche Leser.

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Unsere Rezensionen werden von Experten erstellt, bevor sie veröffentlicht werden, und basieren auf praktischer Erfahrung. Schauen Sie sich unsere Rezensionen an. Redaktionelle Richtlinien Und Datenschutzrichtlinie

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