What is the Difference Between Firebase and MongoDB?
🆚 Go to Comparative Table 🆚Firebase and MongoDB are both popular NoSQL databases, but they have different features and use cases. Here are the main differences between them:
- Service Usage: Firebase can be used anonymously by anyone from anywhere, while only authorized users can access the data stored in MongoDB.
- Data Storage: Firebase is used for real-time sync, while MongoDB is used for storing geospatial information.
- Performance: Firebase is great for quickly scaling up an application, while MongoDB is better for fast storage and scaling. In terms of overall database performance, MongoDB is considered faster and more capable of delivering seamless performance, especially when handling vast amounts of data.
- Complexity: MongoDB is considered a less complex database compared to Firebase.
- Dependability: MongoDB is known to be a more reliable database platform due to its dependable servers, while Firebase's reliability is limited by its cloud data storage.
- Use Cases: Firebase is backed by Google and is an application development platform that helps developers build and manage Android, iOS, and Web applications. MongoDB, on the other hand, is suitable for applications that require complete configuration management, real-time analytics, high-speed logging, and more.
In summary, if you need a database for real-time synchronization and quick scaling, Firebase might be a better choice. However, if you prioritize fast storage, scaling, and handling larger amounts of data, MongoDB would be more suitable for your needs.
Comparative Table: Firebase vs MongoDB
Here is a table comparing the differences between Firebase and MongoDB:
Feature | Firebase | MongoDB |
---|---|---|
Data Structure | Flexible, JSON-like format | Flexible, JSON-like format |
Real-time Sync | Yes | No |
Geospatial Information | No | Yes |
Scaling | Quick scaling for applications | Fast storage and scaling |
Performance | Real-time database | Storing geospatial information |
Robustness | Less robust | More robust |
ACID Transactions | No | Yes |
Schema Validation | No | Yes |
Cross-collection Joins | No | Yes |
On-premise or Cloud Operation | Cloud-only | On-premise or cloud (MongoDB Atlas, self-managed cloud) |
Query Language | No MongoDB Query Language | MongoDB Query Language (MQL) |
Cost | Spark Plan (no-cost model) and Blaze Plan (pay-as-you-go) | Depends on the deployment mode and usage |
Both Firebase and MongoDB are NoSQL databases with flexible data structures, but they have different features and use cases. Firebase is better for real-time sync and rapid application scaling, while MongoDB is better for handling geospatial information, providing robustness, and supporting advanced querying.
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