NeonConvex vs Neon: Which is Better in 2026?
A comprehensive comparison of Convex and Neon covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Convex if:
- →You need real-time subscriptions or acid transactions
- →Your primary focus is coding & development
Choose Neon if:
- →You want more affordable paid plans (from $19/mo)
- →You need serverless postgres or auto-scaling
- →Your primary focus is data & analytics
Convex vs Neon: At a Glance
Pricing Comparison: Convex vs Neon
Understanding the pricing differences between Convex and Neon is crucial for making the right choice. Here's how their plans compare side by side.
💡 Pricing takeaway: Both Convex and Neon offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Convex and Neon stacks up.
What Makes Each Tool Unique
🔵 Unique to Convex
Features available in Convex but not in Neon:
- ✓Real-time subscriptions
- ✓ACID transactions
- ✓Serverless functions
- ✓File storage
- ✓Scheduled jobs
- ✓Full-text search
🟣 Unique to Neon
Features available in Neon but not in Convex:
- ✓Serverless Postgres
- ✓Auto-scaling
- ✓Database branching
- ✓Scale to zero
- ✓Point-in-time restore
- ✓Read replicas
Use Case Recommendations
Best for: Convex
Reactive backend-as-a-service with real-time sync, serverless functions, and built-in database. Convex eliminates the need for separate database, API, and real-time infrastructure with automatic reactivity.
Ideal use cases:
- •Teams or individuals who need real-time subscriptions
- •Teams or individuals who need acid transactions
- •Teams or individuals who need serverless functions
- •Teams or individuals who need file storage
- •Anyone focused on backend workflows
- •Anyone focused on real-time workflows
Best for: Neon
Serverless Postgres with automatic scaling and branching. Neon provides instant database provisioning, scale-to-zero, and database branching for modern development workflows.
Ideal use cases:
- •Teams or individuals who need serverless postgres
- •Teams or individuals who need auto-scaling
- •Teams or individuals who need database branching
- •Teams or individuals who need scale to zero
- •Anyone focused on database workflows
- •Anyone focused on postgres workflows
💻 Other Coding & Development Tools to Consider
Convex and Neon aren't the only options. Here are other popular tools in the same space:
Cursor
AI-first code editor with powerful inline generation
GitHub Copilot
AI pair programmer for code suggestions
Windsurf
AI-native IDE with autonomous coding agents
Tabnine
Privacy-focused AI code assistant for enterprises
Replit
Cloud IDE with AI coding and instant deployment
v0
Generate React UI components from text prompts
Frequently Asked Questions
Is Convex better than Neon?
It depends on your needs. Convex offers 6 key features including Real-time subscriptions and ACID transactions, while Neon provides 6 features including Serverless Postgres and Auto-scaling. Convex uses a freemium model with a free tier, while Neon is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Convex cheaper than Neon?
Neon is cheaper, starting at $19/month compared to Convex's $25/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Convex and Neon together?
Yes, many users combine Convex and Neon in their workflow. Convex excels at real-time subscriptions, while Neon shines with serverless postgres. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Convex and Neon?
Convex is primarily a coding & development tool focused on reactive backend with real-time sync and serverless functions, while Neon focuses on data & analytics with serverless postgres with auto-scaling. They serve different primary use cases despite being alternatives.