ChatterKB vs Make

Discover why teams switch from Make’s per-operation pricing to ChatterKB’s memory-first automation platform.

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ChatterKB vs Make | Workflow Automation Comparison

ChatterKB vs Make: What’s the difference?

Feature ChatterKB icon ChatterKB Make icon Make
Pricing model Flat subscription, unlimited workflows Pay per operation (module run)
Workflow builder Plain-language prompts Scenario modules (visual)
Knowledge management Built-in KB grows over time None
AI approach Memory-first, context-aware Minimal / external AI calls
Integrations Internal tools + 5,000+ via Zapier MCP ≈1,300 native modules

ChatterKB icon About ChatterKB

ChatterKB transforms conversations into intelligent, self-improving workflows. By combining natural-language automation with a persistent knowledge graph, it lets anyone—technical or not—deploy powerful processes in minutes.

Highlights:

  • Natural-language workflow creation & debugging
  • Institutional memory that compounds with every run
  • 5,000+ integrations via Zapier MCP plus built-in internal tools
  • Predictable subscription pricing with unlimited executions

Make icon About Make

Make (formerly Integromat) is a visual integration platform where users connect “modules” on a canvas to build scenarios that move data between apps. Pricing is based on the number of operations each module performs, and advanced features often require larger plans.

Key points:

  • Drag-and-drop scenario builder with custom expression language
  • Cloud-only offering (no self-host)
  • Charges for every operation, which scales costs quickly for data-heavy flows
  • Limited native AI functionality—requires external APIs and custom logic

Pricing Comparison

ChatterKB icon ChatterKB

    • Starts at Free
    • Unlimited workflows & knowledge storage
    • All internal tools included—no premium upsells
    • Zapier MCP: billed at cost, no markup

Make icon Make

    • Free plan with 1,000 operations / month
    • Core: $9 / month → 10,000 ops
    • Pro: $16 / month → 10,000 ops + advanced features
    • Teams: $29 / user / month (10,000 ops per seat)
    • Additional operations billed separately; every module action counts as an op
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Enterprise

ChatterKB icon ChatterKB

  • Data Sovereignty Options: Control where your data lives with flexible deployment options that allow you to keep sensitive information in your own databases and servers while leveraging ChatterKB’s processing capabilities
  • Data Residency Controls: Specify geographic regions for data storage and processing to meet compliance requirements
  • Tenant Isolation: Multi-tenant architecture with complete data separation between business units or client accounts
  • Audit Logging: Comprehensive activity tracking for compliance and security monitoring, with exportable logs for SIEM integration
  • API-First Architecture: Well-documented APIs for seamless integration with existing enterprise systems and custom applications
  • Batch Processing: Handle large-scale data operations efficiently for enterprise data volumes
  • Role-Based Access Controls: Granular permission settings for system features based on organizational roles
  • Team Collaboration: Built-in collaboration features for cross-functional teams
  • Enterprise Billing: Flexible enterprise billing options including invoicing
  • Support: Dedicated customer success with responsive SLAs

Make icon Make

  • Cloud-Only Hosting: All data lives in Make’s AWS environment
  • Basic Roles: Multiple account roles but limited granular permissions
  • No Data Residency Guarantees: Region selection not available on standard plans
  • No Persistent Knowledge Layer: Requires external KM systems

Ease of Use

ChatterKB icon ChatterKB

ChatterKB eliminates the need for flowcharts entirely:

  • Write, Don’t Diagram: Simply describe the outcome—ChatterKB handles the logic.
  • Zero Learning Curve: New hires build workflows on day one, no training required.
  • Conversational Debugging: If a workflow fails, just explain what happened; the system self-corrects.
  • Contextual Suggestions: Recommendations improve as ChatterKB learns your terminology and historical decisions.

Make icon Make

  • Module Canvas: Users must connect each module and configure data mapping.
  • Expression Language: Custom syntax needed for transforms and filters.
  • Training Required: Steeper learning curve for non-technical teams.

AI Automation

ChatterKB icon ChatterKB

ChatterKB embeds AI into every layer via its memory-first architecture:

  • Persistent Knowledge: Each run enriches an organization-wide knowledge graph.
  • Natural Language Creation: Entire workflows are generated, tested, and refined through conversation.
  • Adaptive Execution: Flows self-adjust based on real-time context and newly ingested information.
  • Unified Experience: No switching between AI tools and workflow designer—the interface is conversational from start to finish.

Make icon Make

  • No Native AI Nodes: Must call external APIs or webhook services.
  • Stateless Runs: Scenarios don’t retain institutional memory.
  • Manual Error Handling for AI failures.

Workflow Reliability

ChatterKB icon ChatterKB

ChatterKB’s memory-centric architecture delivers superior reliability:

  • Self-Correcting Workflows: Workflows automatically adapt to new information and recover from errors
  • Reasoner-Based Architecture: Specialized components handle different tasks with focused context
  • Intelligent Replanning: When unexpected situations arise, workflows can replan steps without human intervention
  • Comprehensive Monitoring: Built-in monitoring ensures workflows complete successfully even during infrastructure changes

Make icon Make

  • Fixed Paths: Scenarios follow predetermined branches.
  • Manual Error Handling with extra modules.
  • Restart Required when unexpected data appears.

Long-Term Value

ChatterKB icon ChatterKB

ChatterKB delivers increasing returns over time:

  • Institutional Memory: Every interaction builds your knowledge graph, making future workflows smarter
  • Relationship-Based Learning: The system automatically connects related concepts across conversations
  • Reduced Training Costs: New team members benefit from accumulated knowledge and context
  • Workflow Evolution: Existing workflows improve automatically as your knowledge base grows

Make icon Make

  • Static Scenarios require manual updates.
  • No Built-In Knowledge Retention.

ChatterKB vs Make: Which one should your business choose?

ChatterKB icon Choose ChatterKB if…
  • You want predictable pricing without operation limits
  • You need automation plus institutional memory in one platform
  • Your business users prefer describing tasks in plain English
  • Compliance or data sovereignty is a priority
Make icon Choose Make if…
  • You’re already invested in Make scenarios
  • You’re comfortable managing operation quotas
  • You prefer a visual module canvas and don’t need persistent knowledge

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