Figma vs Certa

Detailed side-by-side comparison to help you choose the right tool

Figma

🟡Low Code

Design & Creative

Figma: Professional design and prototyping platform that enables teams to create, collaborate, and iterate on user interfaces and digital products in real-time.

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Starting Price

Custom

Certa

Design & Creative

AI-powered third-party lifecycle management platform that helps enterprises manage risk, compliance, and ESG across their vendor ecosystems.

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Starting Price

Custom

Feature Comparison

Scroll horizontally to compare details.

FeatureFigmaCerta
CategoryDesign & CreativeDesign & Creative
Pricing Plans8 tiers10 tiers
Starting Price
Key Features
    • AI-powered third-party onboarding automation
    • No-code workflow builder
    • KYC/AML and due diligence automation

    Figma - Pros & Cons

    Pros

    • Real-time multiplayer collaboration with live cursors, comments, and audio chat lets distributed teams design together as if they were in the same room, eliminating file-versioning friction
    • Browser-first architecture with native desktop apps means no installs are required for stakeholders to view or comment, and files are always up to date across macOS, Windows, Linux, and ChromeOS
    • Mature design system tooling — components, variants, auto layout, variables, and shared libraries — supports enterprise-scale design systems that stay in sync across products
    • Dev Mode produces accurate measurements, design tokens, and CSS/iOS/Android code snippets, dramatically reducing handoff churn between designers and engineers
    • Massive plugin and Community ecosystem provides thousands of free templates, UI kits, icon libraries, and automation plugins that extend core functionality
    • Integrated AI tooling (Figma AI, Figma Make) generates designs, prototypes, and even functional code from prompts directly inside the canvas, without switching tools

    Cons

    • Heavy files with many components, variants, or large prototypes can slow performance noticeably in the browser, and very large design systems sometimes hit memory limits
    • Offline support is limited — most features require an active connection, which is a real constraint for designers traveling or working in low-connectivity environments
    • Per-editor seat pricing at the Organization and Enterprise tiers becomes expensive quickly for larger teams, especially when factoring in separate Dev Mode and FigJam seats
    • Vector illustration and advanced drawing tools are less powerful than dedicated apps like Adobe Illustrator, making Figma a poor fit for complex marketing illustration or print work
    • AI features are still maturing and inconsistent — generated designs often need significant manual refinement, and outputs can feel generic without careful prompting

    Certa - Pros & Cons

    Pros

    • No-code platform allows business users to build and modify workflows without IT involvement, reducing dependency on engineering teams
    • Generative AI agents deliver 3x faster third-party onboarding compared to manual processes, per Certa's published metrics
    • CertaAssist AI companion achieves over 90% accuracy on automated tasks and cuts implementation time by 30%
    • Single connected platform spans InfoSec, Privacy, Financial, Fraud, and ESG risk domains, eliminating tool sprawl
    • Recognized as 2024 ProcureTech100 winner in both Advanced AI and Risk Management categories, signaling category leadership
    • Trusted by Fortune 500 companies and listed in the Gartner Market Guide as a Representative Vendor for TPRM

    Cons

    • Enterprise-only pricing model with no public tiers, free trial, or self-serve option excludes SMBs and mid-market buyers
    • Implementation complexity typical of enterprise GRC platforms; even with the 30% reduction in deployment time, projects require dedicated resources
    • Heavy focus on third-party/vendor risk means it's not a fit for teams seeking general-purpose compliance or internal audit tools
    • Pricing transparency is limited — buyers must engage sales for quotes, making budget comparisons against alternatives difficult
    • Generative AI accuracy of '90%+' implies human review is still needed for high-stakes decisions in regulated workflows

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