Technology · head to head
MongoDB vs PlanetScale
The short version
- Each has a real cost: MongoDB 16 MB maximum document size limits large single objects; PlanetScale pricing varies significantly across 17+ AWS and GCP regions
- They diverge on capability: MongoDB covers Document model, PlanetScale covers Database Branching.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which MongoDB and PlanetScale actually diverge.
| Attribute | MongoDB | PlanetScale |
|---|---|---|
| Pricing model | Unknown | usage-based |
| Platforms | Cloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure) | Cloud-hosted (AWS, GCP, Azure) |
| Category | Technology | Databases |
| Founded | 2007 | 2018 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in MongoDB
- Document model
- Distributed architecture
- ACID transactions
- Real-time analytics
- Full-text search
- Time series data
- Geospatial queries
- Aggregation framework
Only in PlanetScale
- Database Branching
- Non-blocking Schema Changes
- Insights
- Horizontal Scaling
- Connection Pooling
- Query Caching
- Automatic Backups
- Global Replication
Both cover
- Node.js
What people use each for
The jobs each tool is most often brought in to do.
MongoDB
- Mobile applicationsnot PlanetScale
- Content managementnot PlanetScale
- Real-time analyticsnot PlanetScale
- IoT applicationsnot PlanetScale
- Gaming backendsnot PlanetScale
PlanetScale
- MySQL-compatible applications requiring horizontal scalingnot MongoDB
- PostgreSQL deployments with custom cluster configurationsnot MongoDB
- Multi-region database deployments on AWS or GCPnot MongoDB
- Applications requiring transparent sharding via Vitessnot MongoDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
MongoDB
- 16 MB maximum document size limits large single objects
- No native JOIN support for relational data operations
- Higher memory usage due to storing field names with each document
- Eventual consistency in distributed deployments can cause data stale reads
PlanetScale
- Pricing varies significantly across 17+ AWS and GCP regions
- Additional costs for EBS storage beyond base tier, backup storage, and egress
- Dedicated PgBouncer and replicas incur separate charges
- Metal tier pricing increases sharply with larger configurations
Pricing, plan by plan
MongoDB
Free- M0Free
- 512 MB storage
- Learning and exploration
- M2$9/month
- 2 GB storage
- Development and testing
- M5$25/month
- 5 GB storage
- M10+$56.94/month
- Dedicated clusters for production
PlanetScale
Free- Postgres EBS Single-Node (ARM64 PS-5)$5/month
- 512 MiB RAM
- Single-node configuration
- EBS storage included
- Postgres EBS HA (ARM64 PS-5)$15/month
- 512 MiB RAM
- 3-node high-availability setup
- 1 primary + 2 replicas
- Postgres Metal (M-10)$50/month
- 1/8 vCPU, 1 GiB RAM
- 3-node HA configuration
- 10 GiB NVMe storage included
- Vitess Non-Metal 3-Node$39/month
- Sharding-capable database
- x86-64 architecture
- 3-node configuration
Which should you pick?
Choose MongoDB if
- You need document model.
- You want to start without paying.
- You work on Cloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure).
- You also want distributed architecture.
Choose PlanetScale if
- You need database branching.
- You want to start without paying.
- You work on Cloud-hosted (AWS, GCP, Azure).
- You also want non-blocking schema changes.
Questions people ask
- Is MongoDB or PlanetScale better?
- Neither clearly leads. MongoDB starts at Free and PlanetScale at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, MongoDB or PlanetScale?
- MongoDB starts at Free and PlanetScale at Free.
- Does MongoDB or PlanetScale run on more platforms?
- MongoDB runs on Cloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure). PlanetScale runs on Cloud-hosted (AWS, GCP, Azure).
- Can I use MongoDB for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is MongoDB best used for?
- MongoDB is most often used for mobile applications, content management, real-time analytics, iot applications. Of those, mobile applications and content management are not what PlanetScale is typically brought in for.
- What can MongoDB do that PlanetScale cannot?
- MongoDB covers Document model, Distributed architecture, ACID transactions, Real-time analytics. PlanetScale covers Database Branching, Non-blocking Schema Changes, Insights, Horizontal Scaling. Both handle Node.js.
Answered from the vendors’ own pages
MongoDB: Does MongoDB offer a free tier?
Yes. MongoDB Atlas offers an M0 free tier with 512 MB storage for learning and exploration, plus paid options starting at $9/month for M2 with 2 GB storage.
SourcePlanetScale: How much does a PlanetScale Postgres database cost per month?
PlanetScale Postgres pricing starts at $5/month for single-node ARM64 configurations with 512 MiB RAM and $15/month for the same specs in high-availability mode with 1 primary and 2 replicas. Metal tier starts at $50/month for M-10 configuration (1/8 vCPU, 1 GiB RAM). Exact pricing depends on cluster size, node architecture (ARM64 vs x86-64), storage configuration, and selected AWS/GCP region.
SourceMongoDB: Can I self-host MongoDB?
Yes. You can run MongoDB Community Edition on your own servers, or use MongoDB Enterprise Advanced for self-managed production deployments with enterprise features.
SourcePlanetScale: Is there a free tier for PlanetScale?
PlanetScale offers a free tier for development and testing workloads. After free tier limits are reached, usage-based pricing applies starting at $5/month for the smallest Postgres single-node configuration, with costs scaling based on cluster size, compute, storage, and additional features like dedicated PgBouncer or replicas.
SourceMongoDB: What is the maximum document size in MongoDB?
Documents are limited to 16 MB. For documents exceeding this limit, you can use MongoDB's GridFS API to store files larger than the maximum size.
SourcePlanetScale: What is the difference between PlanetScale ARM64 and x86-64 pricing?
ARM64 instances cost significantly less than x86-64 equivalents. For example, a Postgres EBS HA cluster with 512 MiB RAM costs $15/month on ARM64 but $39/month on x86-64. This pricing difference extends across all cluster sizes, with larger x86-64 configurations reaching up to $5,599/month compared to ARM64 alternatives.
SourceMongoDB: Does MongoDB support ACID transactions?
Yes. MongoDB supports ACID transactions within a single document by default, and multi-document ACID transactions are available for replica sets and sharded clusters in MongoDB 4.0+.
SourcePlanetScale: What is included in a PlanetScale cluster price versus additional costs?
The advertised cluster price covers the base compute and configured storage. Additional charges apply for EBS storage beyond the base allocation, backup storage, data egress, optional dedicated PgBouncer connections, and replicas beyond the base high-availability configuration. Regional pricing varies across 17+ AWS and GCP zones.
SourceRelated pages
More on PlanetScale
Other head to heads
- MongoDB vs Redis
- MongoDB vs Supabase
- MongoDB vs Postgres
- MongoDB vs Notion
- MongoDB vs Terraform
- MongoDB vs Sentry
- MongoDB vs etcd
- MongoDB vs Linear
- MongoDB vs Monday.com
- MongoDB vs Microsoft Outlook
- MongoDB vs Plane
- MongoDB vs Asana
- MongoDB vs Alkami
- MongoDB vs Dashlane
- MongoDB vs Finxact
- MongoDB vs GitHub
- MongoDB vs Heap
- MongoDB vs Microsoft Edge
- MongoDB vs Amazon Aurora
- MongoDB vs Nile
- MongoDB vs Airtable
- MongoDB vs Cockroach Labs
- MongoDB vs PostgreSQL
- MongoDB vs BigQuery
- MongoDB vs MotherDuck
- MongoDB vs FaunaDB
- MongoDB vs DataGrip
- MongoDB vs TiDB
- MongoDB vs Readyset
- MongoDB vs IBM Db2
- MongoDB vs Instaclustr
- MongoDB vs Knack
- MongoDB vs LanceDB
- MongoDB vs Marqo
- MongoDB vs DynamoDB
- PlanetScale vs Redis
- PlanetScale vs Supabase
- PlanetScale vs Postgres
- PlanetScale vs Notion
- PlanetScale vs Terraform
- PlanetScale vs Sentry
- PlanetScale vs etcd
- PlanetScale vs Linear
- PlanetScale vs Monday.com
- PlanetScale vs Microsoft Outlook
- PlanetScale vs Plane
- PlanetScale vs Asana
- PlanetScale vs Alkami
- PlanetScale vs Dashlane
- PlanetScale vs Finxact
- PlanetScale vs GitHub
- PlanetScale vs Heap
- PlanetScale vs Microsoft Edge
- PlanetScale vs Amazon Aurora
- PlanetScale vs Nile
- PlanetScale vs Airtable
- PlanetScale vs Cockroach Labs
- PlanetScale vs PostgreSQL
- PlanetScale vs BigQuery
- PlanetScale vs MotherDuck
- PlanetScale vs FaunaDB
- PlanetScale vs DataGrip
- PlanetScale vs TiDB
- PlanetScale vs Readyset
- PlanetScale vs IBM Db2
- PlanetScale vs Instaclustr
- PlanetScale vs Knack
- PlanetScale vs LanceDB
- PlanetScale vs Marqo
- PlanetScale vs DynamoDB


