Evidence

★★★★ 4.3
VS
SuperTokens icon

SuperTokens

★★★★ 4.3
Feature Evidence SuperTokens
Pricing Free / from $49/mo Free / from $0.02/mo
Free Plan ✓ Yes ✓ Yes
Rating 4.3 / 5 4.3 / 5
Best For data-analysts, data-engineers, startups, analytics-teams saas-developers, startups, privacy-focused-apps, self-hosters
Founded 2021 2019
Sql Reporting
Markdown Pages
Charts
Static Deployment
Git Integration
Data Sources
Email Password
Social Login
Passwordless
Mfa
Session Management
Pre Built Ui
Self Hostable

✓ Evidence Pros

  • Code-based reports (version controlled)
  • Beautiful output
  • Fast static deployment
  • SQL-first approach

✗ Evidence Cons

  • Requires SQL knowledge
  • Not for ad-hoc exploration
  • Smaller community

✓ SuperTokens Pros

  • Open-source with free self-hosting
  • Pre-built UI components for quick integration
  • Session management with anti-CSRF protection
  • Multiple auth methods (email, social, passwordless, MFA)

✗ SuperTokens Cons

  • Smaller ecosystem than Auth0 or Firebase Auth
  • Documentation has gaps for complex setups
  • Limited admin dashboard features

The Verdict

Evidence is built for data analysts and data engineers, with a focus on sql-reporting and markdown-pages. SuperTokens targets saas developers and startups and leads with email-password and social-login.

On pricing, SuperTokens is the clear winner for budget-conscious users — starting at $0.02/mo compared to $49/mo for Evidence. That $48.98/mo difference adds up quickly for growing teams.

Both offer free plans, so you can test each with your real workflow before committing to a subscription.

Feature-wise, SuperTokens offers broader built-in capabilities (7 features vs 6), while Evidence takes a more focused approach — which can mean a simpler, faster onboarding experience.

Both tools are a solid fit for startups — in those cases, the decision often comes down to workflow style and how your team prefers to organize work.

This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.

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