Runwork
All Comparisons
Runwork vs Fibery

Runwork vs Fibery

Flexible workspace vs. AI-generated business applications

Quick Verdict

Fibery offers a flexible workspace for connecting work data. Runwork generates complete applications from natural language with built-in automations and enterprise infrastructure. Both emphasize connected data, but Runwork builds real applications you own.

Overview

Fibery is a powerful workspace platform that lets you model your work and connect information. It excels at flexibility but requires significant setup and configuration. Runwork takes a different approach: describe what you need in plain English, and AI builds complete applications. Your apps share data automatically, automations run in the background, and you get real code you can customize.

Fibery is a Connected Workspace Platform.

Runwork Strengths

  • Describe applications in natural language. No configuration required.
  • Complete applications with UI, not just databases and views.
  • 3,200+ integrations connect to external services.
  • Full automation layer: workflows, schedules, AI agents.
  • Real code output you own. No proprietary format lock-in.
  • Enterprise features: SSO, audit logs, multi-tenant support.
  • Global edge deployment with auto-scaling.

Fibery Strengths

  • Highly flexible data modeling and relationships.
  • Strong bi-directional linking between entities.
  • Built-in docs, whiteboards, and collaboration features.
  • Powerful reporting and views system.
  • Good for product management and research workflows.

Feature Comparison

Building Experience

Feature Runwork Fibery
Natural language generation AI assist
Custom application UI Views only
Real code output (no lock-in) -
Live preview
Git-based versioning -
Visual data modeling -

Data & Integrations

Feature Runwork Fibery
Built-in database
Shared entity graph across apps
Bi-directional relationships
Pre-built integrations 3,200+ 50+
Custom API connections
File storage

Automation & Logic

Feature Runwork Fibery
Event-driven automations
Scheduled jobs
Multi-step workflows Rules
AI agents -
Public APIs / webhooks
Long-running workflows -

Enterprise & Security

Feature Runwork Fibery
SSO / SAML Enterprise
Audit logs Enterprise
Role-based permissions
Multi-tenant support -
Custom domains -
Team workspaces

Infrastructure

Feature Runwork Fibery
Hosting included
Global edge deployment -
Auto-scaling
Automatic backups

Which Tool is Right for You?

Choose Runwork if you need...

  • * Complete business applications, not just data views
  • * Teams who want AI to build, not manual configuration
  • * Customer-facing apps with multi-tenant requirements
  • * Organizations needing full automation and AI agents
  • * Anyone who wants real code they own

Choose Fibery if you need...

  • * Complex data modeling with many relationships
  • * Product management and research workflows
  • * Teams who enjoy hands-on workspace configuration
  • * Use cases focused on internal collaboration

Pricing Comparison

Fibery charges per user. Runwork offers flat workspace pricing so costs stay predictable as teams grow and starts with a 14-day free trial (no credit card).

View Runwork pricing

How to Migrate from Fibery

Moving from Fibery to Runwork means shifting from flexible workspace configuration to AI-generated applications. Both emphasize connected data, but Runwork builds complete applications instead of requiring manual setup.

Typical migration: 3-7 days depending on workspace complexity

1

Document your Fibery workspace structure

Map out your entity types, relationships, and views. Note which spaces are for collaboration vs. operational use—operational tools migrate to Runwork, collaboration might stay or move elsewhere.

2

Export your data

Export Fibery databases as CSV. Preserve relationship information—these become entity relationships in Runwork with proper database structure.

3

Create your entity graph

Describe your data model to Runwork. "I have features, user stories, and sprints. Features contain user stories, sprints contain user stories from multiple features." Runwork creates the relationships.

4

Build applications

Instead of configuring views, describe applications. "I need a product roadmap dashboard showing features by quarter, their stories, and sprint progress." Runwork generates complete apps.

5

Add automations

Fibery rules become Runwork automations. "When a story is marked done, update the feature progress percentage and notify the product owner." More powerful than Fibery's rule system.

Frequently Asked Questions

What about Fibery's flexible data modeling?
Runwork's entity system supports complex relationships and bi-directional links. The difference is you describe your model in natural language rather than configuring it manually. The result is often cleaner because you focus on what you need, not how to build it.
Can I recreate Fibery's whiteboard features?
Runwork focuses on operational applications rather than visual collaboration tools. Keep Fibery (or another tool) for whiteboards and brainstorming. Use Runwork for the tools that run your operations.
How do Fibery reports compare to Runwork dashboards?
Runwork generates custom dashboards as part of your applications. Describe what you want to see and the AI creates appropriate visualizations. You get purpose-built reporting, not a generic report builder.
What about Fibery's product management templates?
Instead of templates, describe your product management process. "I need to track features from idea through launch, with customer feedback integration and release notes generation." Runwork builds exactly what you need.

Try Runwork for yourself

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