VolvenixFlowise vs Relevance AI
AI-enhanced independent comparison — features, pros, cons, pricing and rankings.
ChatGPT 
Claude 
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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 
Who each tool serves best — and when to pick the other one.
Developers, data scientists, and teams needing customizable, self-hosted AI workflow orchestration with visual tools.
- You want to visually design AI workflows with drag-and-drop simplicity.
- You need a self-hosted solution for AI pipeline orchestration and customization.
- Your team requires modular and extensible AI workflow components.
Non-technical users or teams seeking fully managed cloud solutions without setup or maintenance overhead.
- You need a fully managed cloud AI workflow platform with no setup.
- Free-tier limits are a blocker for your production-scale deployments.
- You require extensive non-technical user support and onboarding.
Open-source, self-hosted visual workflow builder for AI pipeline customization.
Operations, product, and data teams seeking to automate complex workflows visually without coding.
- You want to automate multi-step workflows without writing code.
- Your team needs to integrate and orchestrate multiple datasets visually.
- You require a modular platform to build custom automation agents.
Organizations requiring extensive API access, advanced security compliance, or large-scale enterprise features.
- You need a public API for deep integration and custom development.
- Free-tier limits are a blocker for your automation scale and usage.
- You require enterprise-grade security features like SSO and MFA.
Visual no-code multi-step workflow automation with modular agent building.
A canonical comparison across capabilities common to this category. Vendor-specific extras appear below in "Highlighted Features".
| Capability | Flowise | Relevance AI |
|---|---|---|
|
Free Tier Available
Usable without payment (with usage limits)
|
✓ | ✓ |
| Feature | Flowise | Relevance AI |
|---|---|---|
| Team collaboration | Features for multi-user workflow management | Shared workspace and collaboration tools |
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.
- Drag-and-Drop Workflow Builder — Visual interface to create AI workflows
- Modular Components — Flexible building blocks for AI pipelines
- Self-hosted deployment — Run workflows on your own infrastructure
- Integration Support — Connectors for AI models and data sources
- Visual workflow builder — Drag-and-drop interface to create multi-step workflows
- Modular Agent Builder — Create reusable automation agents for complex tasks
- Data Integration — Connect and orchestrate multiple datasets within workflows
- Analytics Dashboard — Monitor workflow performance and usage metrics
- Open-source with active community
- Visual drag-and-drop interface simplifies workflow creation
- Highly modular and customizable
- Supports orchestration of large language model chains
- Self-hosted for data privacy and control
- Intuitive visual no-code workflow builder
- Modular and reusable agent components
- Supports integration of multiple datasets
- Suitable for non-technical users
- Flexible automation for operations and product teams
- Requires technical skills for deployment and maintenance
- No managed cloud hosting option available
- Limited official integrations documented
- No public API for custom integrations
- Lacks enterprise security features like SSO and MFA
- Limited mobile app or offline support
- Orchestrate large language model chains
- Automate AI-driven workflows
- Build custom AI pipelines for research
- Develop self-hosted AI applications
- Collaborate on AI workflow design
- Automate repetitive operational tasks
- Integrate and orchestrate data workflows
- Build custom multi-step automation agents
- Streamline product team processes
- Visualize and monitor workflow execution
No third-party integrations 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.
Flowise offers a free tier with core features and paid plans for additional capabilities and team collaboration.
-
Free
Free -
Pro
popular
$20.00/mo -
Team
$30.00/mo
Offers a free tier with basic features and paid plans for advanced capabilities and team collaboration.
-
Free
Free -
Pro
popular
$20.00/mo -
Team
$30.00/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.
- Open Source Yes
- Self-Hosted Yes
- Workflow Steps Supports complex multi-step workflows
- User Access Individual and team plans available
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?
- Flowise is an open-source platform for building and deploying AI workflows using a visual drag-and-drop interface.
- How much does it cost?
- Flowise offers a free tier with core features and paid subscription plans for advanced capabilities and team use.
- Does it have a free plan?
- Yes, Flowise provides a free plan suitable for individuals and basic workflow building.
- What integrations does it support?
- Flowise supports integrations with various AI models and data sources, though official connectors are limited.
- Who is it best for?
- It is best suited for developers and data scientists who want customizable, self-hosted AI workflow orchestration.
- What is this tool?
- Relevance AI is a no-code platform for designing and automating multi-step workflows using visual AI agents.
- How much does it cost?
- It offers a free tier with basic features and paid plans starting at $20/month for advanced capabilities.
- Does it have a free plan?
- Yes, Relevance AI provides a free plan suitable for individuals and basic usage.
- What integrations does it support?
- It supports integration of multiple datasets but does not have a public API for external integrations.
- Who is it best for?
- Operations, product, and data teams looking to automate workflows visually without coding.
| Info | Flowise | Relevance AI |
|---|---|---|
| Pricing | Freemium | Freemium |
| Category | AI Agents & Automation | AI Agents & Automation |
| Deployment | Self-hosted | Cloud |
| Free Plan | ✓ | ✓ |
| AI Agent | ✗ | ✗ |
| Autonomy | Assistant | Assistant |
| Risk Tier | Medium | Medium |
| BYO API Key | ✓ | — |
| Local Models | ✓ | — |
| Fine-tuning | ✗ | — |
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KissflowFlowise has an overall score of 5.6/10 and offers a freemium pricing model, focusing on providing a user-friendly interface for building AI workflows and integrations. Relevance AI, with a slightly lower overall score of 5.2/10, also uses a freemium pricing structure but emphasizes data enrichment and vector search capabilities for enhancing AI-driven applications. While Flowise is geared towards workflow automation and ease of use, Relevance AI is more specialized in data processing and relevance optimization for search and recommendation systems.
ⓘ 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 →