Serverless Databases Comparison - Amazon DynamoDB vs Azure Cosmos DB vs Google Cloud Firestore
Welcome to our comparison of the finest serverless databases. Today, we will be delving into Amazon DynamoDB, Azure Cosmos DB, and Google Cloud Firestore. All these databases offer serverless computing capabilities that allow you to handle large amounts of data easily. But which database is the right fit for your use case? Let's dive deep into the features and performance of each of these cloud-based databases.
Amazon DynamoDB
Amazon DynamoDB, in its simplest definition, is a fast, fully-managed, and flexible NoSQL database service. Developed by Amazon Web Services, DynamoDB allows developers to store, retrieve, and manage large amounts of data with effortless scalability. With DynamoDB, you can create tables and store, query and search data items, and consume precisely the kind of throughput you require. The database is suitable for applications that need high availability, no SQL query capabilities, and unstructured data storage.
Key Features
- Automatic scaling of throughput capacity
- Secure and durable database services
- NoSQL database supports multiple data formats
- Flexible querying and indexing
- Fast, reliable iteration speeds
- Pay-per-usage pricing model
Performance Comparison
In terms of performance, Amazon DynamoDB has an average record response time of less than one millisecond. With DynamoDB, you can support millions of requests per second with unlimited storage capacity. The table below compares the capabilities of Amazon DynamoDB with other databases.
| Service | Max Request Rate | Max Response Time |
|---|---|---|
| DynamoDB | 40 million/sec | less than 1ms |
| Firebase | 19 million/sec | up to 1500ms |
| Azure Cosmos DB | 10 million/sec | less than 5ms |
Azure Cosmos DB
Azure Cosmos DB is a globally distributed, multi-model database service that supports all types of data: structured, semi-structured, and unstructured. The service allows managing all your data in one place, offers low-latency access globally, and provides automatic database indexing. Cosmos DB is suitable for businesses with large geographical footprints because it provides an SLA to deliver low-latency access to any user, from anywhere in the world.
Key Features
- Multi-model database service supports JSON, Graph data, Column-family data, and Key-value data
- Multiple APIs to facilitate data ingestion and querying
- Geospatial data processing and in-memory database cache
- Continuous backups and point-in-time recovery
- Serverless capabilities for event-driven programming
Performance Comparison
In terms of performance, Azure Cosmos DB has an average response time of less than five milliseconds with unlimited throughput capacity. The table below compares the capabilities of Azure Cosmos DB with other databases.
| Service | Max Request Rate | Max Response Time |
|---|---|---|
| Azure Cosmos DB | 10 million/sec | less than 5ms |
| Firebase | 19 million/sec | up to 1500ms |
| Amazon DynamoDB | 40 million/sec | less than 1ms |
Google Cloud Firestore
Google Cloud Firestore is a serverless, NoSQL, in-memory database service that facilitates rapid application development. Cloud Firestore integrates with standard libraries and frameworks such as React, Angular, and Swift, facilitating real-time data synchronization between web and mobile apps. The product is scalable and flexible to meet the requirements of any application.
Key Features
- Real-time data synchronization with web and mobile apps
- Native support for structured data storage and querying
- Automatic indexing and scalability to support large data sets
- Secure and seamless integration with Google Cloud Platform
Performance Comparison
In terms of performance, Google Cloud Firestore has an average response time of fewer than 10 milliseconds with real-time data synchronization features between web and mobile apps. The table below compares the capabilities of Cloud Firestore with other databases.
| Service | Max Request Rate | Max Response Time |
|---|---|---|
| Firebase | 19 million/sec | up to 1500ms |
| Cloud Firestore | 10 million requests/second | less than 50ms |
Conclusion
All these serverless databases have their unique features, strengths, and weaknesses. The choice entirely depends on your organization's needs and use case. Amazon DynamoDB is suitable for businesses looking for a fast, fully-managed, and flexible NoSQL database service, while Azure Cosmos DB is suitable for businesses with large geographical footprints for delivering low-latency access to any user. Google Cloud Firestore is ideal in cases where a scalable and flexible NoSQL database is required to support rapid application development.