VolvenixKNIME Analytics Platform vs Make
AI-enhanced independent comparison — features, pros, cons, pricing and rankings.
ChatGPT 
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DALL-E 
Stable Diffusion 
Notion AI 
Canva 
Grammarly 
GitHub Copilot 
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Perplexity 
Runway 
Synthesia 
Fireflies.ai 
Hugging Face Hub 
| Dimension | KNIME Analytics Platform | Make |
|---|---|---|
| Accuracy & Reliability | ||
| Ease of Use | ||
| Features & Capability | ||
| Value for Money | ||
| Performance & Speed | ||
| Popularity & Adoption |
Who each tool serves best — and when to pick the other one.
Data scientists and analysts who want a flexible, open-source platform to visually build and automate complex data workflows.
- You need to visually design and automate complex data science workflows without heavy coding.
- You want an open-source platform with strong community support and extensibility.
- Your team requires integration with diverse data sources and tools for data analytics.
Users seeking turnkey, no-code solutions or those needing enterprise-grade automation with dedicated support may find KNIME less suitable.
- You need a fully managed cloud service with minimal setup and maintenance.
- Free-tier limits are a blocker for your enterprise-scale automation needs.
- You require dedicated enterprise support and advanced automation features out of the box.
The most important factor is the need for a flexible, extensible, and open-source visual workflow automation platform.
Teams in operations, marketing, sales, or IT who need to automate complex workflows visually without coding.
- You need to automate complex workflows involving multiple apps without coding
- You want a visual interface to design and monitor your automations
- Your team requires integrations across marketing, sales, IT, and operations tools
Users seeking simple one-step automations or those unwilling to invest time learning a visual builder.
- You need only simple, single-step automations with minimal setup
- Free-tier limits are a blocker for your automation volume or team size
- You require extensive enterprise security features like SSO or MFA
The ability to visually design and control multi-step workflows without coding.
A canonical comparison across capabilities common to this category. Vendor-specific extras appear below in "Highlighted Features".
| Capability | KNIME Analytics Platform | Make |
|---|---|---|
|
Free Tier Available
Usable without payment (with usage limits)
|
✓ | ✓ |
| Feature | KNIME Analytics Platform | Make |
|---|---|---|
| Visual workflow builder | Drag-and-drop interface for designing data workflows | Drag-and-drop interface to create workflows |
Each tool's marketing-listed features. Where a feature appears under one tool but not the other, it usually reflects how the vendor describes their product — not a definitive capability gap.
- Data Integration — Connects to databases, files, and cloud services
- Machine Learning — Built-in nodes for ML model training and evaluation
- Workflow Automation — Schedule and automate workflows
- Extensions Marketplace — Add-ons for additional functionality
- Multi-Step Automation — Supports complex workflows with multiple steps
- App Integrations — Connects to hundreds of apps and services
- Advanced Scheduling — Set triggers and schedules for workflows
- Error Handling — Manage and retry failed workflow steps
- Open-source with no licensing fees
- Visual drag-and-drop workflow builder
- Supports extensive integrations and data sources
- Strong and active user community
- Highly customizable and extensible
- Visual drag-and-drop workflow builder
- Supports complex multi-step automations
- Extensive app integrations
- Good monitoring and observability tools
- Flexible freemium pricing
- Steep learning curve for new users
- Lacks some advanced enterprise automation features
- No official mobile app available
- Steep learning curve for new users
- Some advanced features require paid plans
- No native mobile app for workflow management
- Data preprocessing and cleaning
- Machine learning model development
- Automated reporting and dashboards
- Data integration from multiple sources
- ETL (Extract, Transform, Load) workflows
- Automate marketing campaign workflows
- Streamline sales lead management
- Integrate IT service operations
- Synchronize data across cloud apps
- Monitor and alert on workflow failures
Where each tool runs — web, mobile, desktop, browser extension, API.
The underlying AI models each tool runs on. Model details show on hover.
No models confirmed.
Natural languages each tool generates and understands. Primary languages are listed first.
What each tool can accept (input) and produce (output) — text, image, audio, video, code.
KNIME Analytics Platform is completely free and open-source with no paid tiers.
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Free
Free
Free tier available with limits; paid plans unlock higher usage and advanced features.
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Free
Free -
Core
popular
$9.00/mo -
Pro
$29.00/mo
Regulatory frameworks each tool claims compliance with (HIPAA, SOC 2, GDPR, etc.).
Vendor-published numbers each tool highlights — usage scale, breadth, and operational stats. Different tools track different metrics, so direct row-by-row comparison usually isn't meaningful.
- Cost Free and open-source
- Operations per month Up to 100,000+
- Active workflows Unlimited on paid plans
Who each tool is positioned for — primary audience first.
How each tool is classified in the Volvenix catalog.
These vocabulary domains are managed in our catalog but not yet exposed at the tool level. We're tracking them for future expansion of this comparison.
- Encryption Types — AES-256, ChaCha20, RSA-2048, and similar at-rest/in-transit cipher families.
- Encryption Contexts — where encryption is applied (data at rest, in transit, end-to-end).
- Plan-tier Model Mapping — which AI models are available on which pricing tier (currently only the model list is tracked, not the per-plan availability).
- What is this tool?
- KNIME Analytics Platform is an open-source visual workflow tool for data science and machine learning.
- How much does it cost?
- KNIME Analytics Platform is completely free and open-source with no paid plans.
- Does it have a free plan?
- Yes, the entire platform is free to use under an open-source license.
- What integrations does it support?
- It supports databases, files, cloud services, and many third-party tools via extensions.
- Who is it best for?
- It is best for data scientists and analysts who want to build and automate data workflows visually.
- What is this tool?
- Make is a visual automation platform that connects apps into multi-step workflows without coding.
- How much does it cost?
- Make offers a free tier with limits and paid plans starting at $9/month for higher usage and features.
- Does it have a free plan?
- Yes, Make provides a free plan with 1000 operations per month and 3 active workflows.
- What integrations does it support?
- Make supports hundreds of app integrations including popular marketing, sales, and IT tools.
- Who is it best for?
- It is best for teams in operations, marketing, sales, and IT needing customizable workflow automation.
KNIME, KNIME Analytics
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| Info | KNIME Analytics Platform | Make |
|---|---|---|
| Pricing | Free | Freemium |
| Category | AI Agents & Automation | AI Agents & Automation |
| Deployment | Desktop | Cloud |
| Learning Curve | Intermediate | Intermediate |
| Free Plan | ✓ | ✓ |
| AI Agent | ✗ | ✓ |
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LevityKNIME Analytics Platform has an overall score of 5.7/10 and is offered for free, focusing primarily on advanced data analytics and workflow automation for data scientists and analysts. Make scores slightly lower at 5.5/10 and uses a freemium pricing model, catering more to general automation and integration tasks across various applications. While KNIME emphasizes complex data processing and machine learning capabilities, Make is designed for broader automation use cases with a user-friendly interface for connecting apps and services.
ⓘ How Volvenix scores work
Scores are computed by Volvenix — not supplied by the vendors, and not third-party benchmark results. Each 0–10 dimension (Overall, Features, Usability, Support, Pricing) is a directional estimate aggregated from catalog signals — editorial cataloguing, content depth, engagement, and provider-reputation indicators — so treat them as a starting point, not a lab result.
Confidence reflects how complete the underlying data is for both tools; lower confidence means fewer signals were available, not a worse tool. We never accept payment for rankings or scores. More about how Volvenix works →