Fauna icon

Fauna

★★★★ 4.1
VS

Hex

★★★★ 4.4
Feature Fauna Hex
Pricing Free / from $0.01/mo Free / from $28/mo
Free Plan ✓ Yes ✓ Yes
Rating 4.1 / 5 4.4 / 5
Best For serverless-developers, jamstack-apps, globally-distributed-apps, startups data-analysts, data-scientists, analytics-engineers, data-teams
Founded 2012 2019
Acid Transactions
Document Relational
Graphql Native
Global Distribution
Event Streaming
Multi Tenancy
Temporality
Sql Cells
Python Cells
Charts
Data Apps
Scheduling
Version History

✓ Fauna Pros

  • Globally distributed with strong consistency
  • Combines document and relational models
  • Native GraphQL and FQL query support
  • Serverless with no infrastructure to manage

✗ Fauna Cons

  • Proprietary query language (FQL) has learning curve
  • Can be expensive at high read/write volumes
  • Smaller community compared to MongoDB or PostgreSQL

✓ Hex Pros

  • SQL + Python in one tool
  • Beautiful data apps
  • Collaborative notebooks
  • Good sharing features

✗ Hex Cons

  • Expensive for teams
  • Learning curve for non-technical
  • Limited self-hosting

The Verdict

Fauna is built for serverless developers and jamstack apps, with a focus on acid-transactions and document-relational. Hex targets data analysts and data scientists and leads with sql-cells and python-cells.

On pricing, Fauna is the clear winner for budget-conscious users — starting at $0.01/mo compared to $28/mo for Hex. That $27.99/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.

Hex edges out on user ratings (4.4 vs 4.1). While both are well-regarded, that gap reflects real differences in user satisfaction worth considering.

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

Bottom line: Hex has a slight overall edge — but if globally distributed with strong consistency matters most to you, Fauna may still be the right call.

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