Neon vs MongoDB Atlas
Updated . Stats refresh daily.
Short answer: Choose based on your data model: SQL vs NoSQL.
At a glance
| Attribute | Neon | MongoDB Atlas |
|---|---|---|
| Pricing model | Freemium | Freemium |
| Main job | Serverless Postgres | NoSQL Database |
| GitHub stars | 23,133 | 28,599 |
| npm downloads a week | 4.4M | 17M |
| Latest release | release-proxy-8853, 1 year ago | None on GitHub |
| Founded | 2021 | 2016 |
| Database Model | PostgreSQL (SQL) | MongoDB (NoSQL) |
| Scale-to-Zero | Yes (serverless compute) | Serverless option available |
| Horizontal Scaling | Read replicas | Sharding (excellent) |
| Schema | Structured (SQL schema) | Flexible (schema-less) |
| Joins | Yes (SQL joins) | No (use aggregation pipeline) |
| Transactions | ACID (strong) | ACID (multi-document) |
| Branching | Yes (database branches) | No |
| Global Distribution | Read replicas | Multi-region clusters |
| Free Tier | 0.5GB storage | 512MB (M0 cluster) |
| Pricing Start | $19/mo (Launch) | $57/mo (M10 dedicated) |
Key differences
Database Paradigm
Neon is PostgreSQL (relational SQL with schemas, joins, ACID). MongoDB Atlas is NoSQL (flexible documents, no joins, eventual consistency). Neon is structured; MongoDB is flexible.
Serverless Model
Neon has scale-to-zero compute (pay only when active). MongoDB Atlas has serverless option but traditional dedicated clusters are more common. Neon is true serverless; MongoDB offers both.
Horizontal Scaling
MongoDB Atlas excels at horizontal scaling with sharding. Neon focuses on vertical scaling with read replicas. MongoDB wins on massive scale; Neon is simpler.
Pricing
Neon
Free: 0.5GB storage, shared compute. Launch: $19/mo for 10GB, always-on compute. Scale: $69/mo+ for autoscaling. More affordable for SQL workloads.
MongoDB Atlas
Free: 512MB (M0 shared). Serverless: Pay-per-use ($0.10/million reads). Dedicated: M10 $57/mo (2GB RAM). Scales to thousands/mo for enterprise.
Prices change often. Check each vendor's pricing page before you commit.
Strengths and weaknesses
Neon
Strengths
- PostgreSQL power (SQL, joins, relations)
- Scale-to-zero (cost-effective)
- Database branching (git-like workflow)
- Lower starting price ($19 vs $57/mo)
Weaknesses
- Less horizontal scaling than MongoDB
- Schema changes require migrations
- Not ideal for rapidly-changing schemas
- Smaller free tier (0.5GB vs 512MB)
MongoDB Atlas
Strengths
- Massive horizontal scalability (sharding)
- Flexible schemas (great for evolving data)
- Excellent multi-region distribution
- Battle-tested at enterprise scale
Weaknesses
- More expensive ($57/mo minimum for dedicated)
- NoSQL trade-offs (no joins, eventual consistency)
- No database branching
- Overkill for simple relational data
Which should you choose?
Choose Neon if
- Your data is relational (SQL fits naturally).
- You want scale-to-zero for cost savings.
- Database branching workflow is valuable.
- You prefer PostgreSQL's advanced features.
Choose MongoDB Atlas if
- Your data is document-based or schema-less.
- You need massive horizontal scaling (sharding).
- Global multi-region distribution is critical.
- Flexible schemas are important.
Questions
Which database is faster?
Depends on use case. MongoDB is faster for massive horizontal scale and writes. Neon (Postgres) is faster for complex SQL queries with joins. Different strengths.
Can I use MongoDB's flexibility with Neon?
Somewhat—Postgres has JSONB for flexible data within a structured schema. But true schema-less flexibility is only in MongoDB.
Which is more affordable?
Neon is more affordable for small-medium SQL apps ($19 vs $57/mo). MongoDB can be cheaper for specific serverless workloads but dedicated clusters are pricier.
Can I migrate from MongoDB to Neon?
Possible but painful. Transform NoSQL documents to SQL tables, rewrite aggregations as SQL queries. Major effort. Choose correctly upfront.
Which is better for startups?
Depends on data model. If your data is relational, Neon is cheaper and simpler. If you need NoSQL flexibility or massive scale, MongoDB Atlas.