PlanetScale is a MySQL-compatible, serverless database platform powered by Vitess. Get started in seconds and scale indefinitely. You can quickly learn the basics of creating and managing a database; or learn more about the concepts, like database branching, that make this platform unique.

PlanetScale is designed to be as beautiful and consistently easy to use as it is reliable. In other words, get ready for a whole new level of UX, worthy of the most important piece in your application stack.

Azure Cosmos DB is a fully managed NoSQL database service for modern app development. Get guaranteed single-digit millisecond response times and 99.999-percent availability, backed by SLAs, automatic and instant scalability, and open-source APIs for MongoDB and Cassandra.

Free Plan

• 3 databases
• 10GB Storage
• 100 Million rows read/mo per DB
• 10 Million rows written/mo per DB

Paid Plans

The pricing for PlanetScale starts at:

• $1.25 per month per 1GB storage
• $15 per 100 Million rows read 
• $15 per 10 Million rows written

Example Pricing

Application with 10M read and 1M written calls would cost $1.5 + $1.5 + $1.25  = $4.25 USD

Example Pricing

10M Serverless Request Units ($2,82), 10GB of consumed storage ($2,5), 10 GB of backup storage ($1,5) $6,82USD 

Onboarding

Start building a database in production in 5 minutes.

Scalability

Automatically done through serverless technology.

Regions

PlanetScale currently offers database deployment in three regions. Select the region closest to your application servers to reduce latency between your database and application. Deploy branches in the region closest to your location to help reduce latency when interacting with the database.

Backups

​PlanetScale provides the ability to create, schedule, and restore backups for production and development database branches. In addition to the daily default backups that PlanetScale schedules for your database branches, you can create additional manual backups. 

Security

PlanetScale is SOC 2 Type II compliant. All data is stored encrypted at rest throughout the PlanetScale platform. This helps mitigate the risk of unintentional or malicious access to user data on storage systems.

​Onboarding
Great documentation to start things off.

​Scalability

Includes the ability to autoscale, with configuration options for it.

Regions

Azure Cosmos DB is available on all the platforms that have Azure available, such as the United States, Europe, Asia Pacific, and more to come.

​Backups 

Azure Cosmos DB automatically takes backups of your data at regular intervals. The automatic backups are taken without affecting the performance or availability of the database operations. Azure Cosmos DB automatically takes a full backup of your database every 4 hours and at any point of time, only the latest two backups are stored by default. If the default intervals aren't sufficient for your workloads, you can change the backup interval and the retention period from the Azure portal.

​Security
If you choose an on-premises solution, you need to provide everything from end-point protection to physical security of your hardware - which is no easy task. If you choose a PaaS cloud database provider such as Azure Cosmos DB, your area of concern shrinks considerably.

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PlanetScale offers the following functionalities:

• Automated Deployment
• Creation (Development)
• Queries
• For Developers
• User Management
• Continuous Integration
  
• Online support
  
• Supports SQL

Azure Cosmos DB is a fully managed NoSQL database for modern app development. Single-digit millisecond response times, and automatic and instant scalability, guarantee speed at any scale.

• ​Guaranteed speed at any scale
  
• Fast, flexible app development with SDKs for popular languages, a native Core (SQL) API along with APIs for MongoDB, Cassandra, and Gremlin, and no-ETL (extract, transform, load) analytics
  
• Ready for mission-critical applications
  
• Fully managed and cost-effective serverless database
  
• Serverless database operations
  
• Hybrid platform for Cassandra data
• No-ETL analytics over real-time operational data