Databases · head to head
CosmosDB vs PlanetScale

CosmosDB
Databases
Globally distributed, multi-model database service from Azure
- From
- Free
- Rated
- -
The short version
- Each has a real cost: CosmosDB autoscale provisioned throughput enforces a minimum of 1,000 RU/s, billed hourly whether or not the database is used; PlanetScale pricing varies significantly across 17+ AWS and GCP regions
- They diverge on capability: CosmosDB covers Global Distribution, PlanetScale covers Database Branching.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which CosmosDB and PlanetScale actually diverge.
| Attribute | CosmosDB | PlanetScale |
|---|---|---|
| Platforms | Web, Azure | Cloud-hosted (AWS, GCP, Azure) |
| Founded | 1975 | 2018 |
Identical on both: starting price (Free), pricing model (usage-based), free tier (Yes), user rating (Not yet rated), category (Databases).
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 CosmosDB
- Global Distribution
- Multi-model APIs
- Elastic Scaling
- Five Consistency Levels
- SLA-backed Latency
- Automatic Indexing
- Serverless
- Azure Functions
Only in PlanetScale
- Database Branching
- Non-blocking Schema Changes
- Insights
- Horizontal Scaling
- Connection Pooling
- Query Caching
- Automatic Backups
- Global Replication
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
CosmosDB
- Running a globally distributed multi model database on Azurenot PlanetScale
- Serving low latency reads and writes from multiple Azure regionsnot PlanetScale
- Storing document, key value and graph data behind a managed servicenot PlanetScale
PlanetScale
- MySQL-compatible applications requiring horizontal scalingnot CosmosDB
- PostgreSQL deployments with custom cluster configurationsnot CosmosDB
- Multi-region database deployments on AWS or GCPnot CosmosDB
- Applications requiring transparent sharding via Vitessnot CosmosDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
CosmosDB
- Autoscale provisioned throughput enforces a minimum of 1,000 RU/s, billed hourly whether or not the database is used
- Provisioned throughput is charged in every region the account is replicated to, so multi region accounts multiply the RU bill
- Storage charges cover data, indexes and backups in each replicated region
- Egress out of Azure and between regions is charged, though ingress is free
- The free allowance is one account per Azure subscription, limited to 1,000 RU/s and 25 GB
- RU/s rates vary by region and are only shown through the pricing calculator rather than a flat published rate
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
CosmosDB
Free- Free TierFree
- 1000 RU/s
- 25GB storage
- First 12 months
- ServerlessFree
- Pay per request
- Auto-scaling
- Event-driven workloads
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 CosmosDB if
- You need global distribution.
- You want to start without paying.
- You work on Web, Azure.
- You also want multi-model apis.
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 CosmosDB or PlanetScale better?
- Neither clearly leads. CosmosDB 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, CosmosDB or PlanetScale?
- CosmosDB starts at Free and PlanetScale at Free.
- Does CosmosDB or PlanetScale run on more platforms?
- CosmosDB runs on Web, Azure. PlanetScale runs on Cloud-hosted (AWS, GCP, Azure).
- Can I use CosmosDB for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is CosmosDB best used for?
- CosmosDB is most often used for running a globally distributed multi model database on azure, serving low latency reads and writes from multiple azure regions, storing document, key value and graph data behind a managed service. Of those, running a globally distributed multi model database on azure and serving low latency reads and writes from multiple azure regions are not what PlanetScale is typically brought in for.
- What can CosmosDB do that PlanetScale cannot?
- CosmosDB covers Global Distribution, Multi-model APIs, Elastic Scaling, Five Consistency Levels. PlanetScale covers Database Branching, Non-blocking Schema Changes, Insights, Horizontal Scaling. Both handle Web support.
Answered from the vendors’ own pages
CosmosDB: Is there a free tier for Azure Cosmos DB?
Yes, Cosmos DB offers a free tier with 1,000 RU/s of throughput and 25 GB of storage per month for the lifetime of the account, available to new accounts.
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.
SourceCosmosDB: How is Cosmos DB priced after the free tier?
Cosmos DB uses three billing models: provisioned throughput billed per request unit per second, vCore pricing for certain APIs, or serverless consumption pricing where you pay only for requests processed. Reserved capacity offers 20% discount for one year or 30% for three years.
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.
SourceCosmosDB: Can I change my pricing model after choosing one?
No. Once you select a compute pricing model and API, they cannot be changed. This choice is permanent for that database.
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.
SourceCosmosDB: Is there a trial period for Cosmos DB beyond the free tier?
Azure offers a 30-day free trial account for all Azure services. Additionally, Azure AI customers may be eligible for a 90-day free Cosmos DB subscription through the Azure AI Advantage program.
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
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