Firebase and MongoDB are both attempting to make vigorous, usable, and adaptable current information base stages for application engineers. As overseen administrations have cleared our industry in the wake of cloud's ascent to strength, designer assumptions are rising. Across each industry, another age of purchasers are requesting exceptionally usable, definitely disentangled interfaces, and completely oversaw, self-administration encounters and engineers are the same. It's an energizing time throughout the entire existence of information bases, and to be sure programming improvement overall, is opening new degrees of designer profitability and information utility.
Before we talk about the contrasts between Firebase and MongoDB, we should begin with the likenesses between the two frameworks: both are post-social information bases with comparative JSON-like archive information models and compositions, and both are worked for simplicity of utilization advancement and level versatility. Both Firebase and MongoDB permit engineers to begin rapidly and repeat on their information structures as they fabricate, and both separate information into "assortments" for simple appropriation across adaptable data set groups.
Firebase incorporates two information stores: the Real-Time Database and Cloud Firestore, each streamlined for an alternate piece of use advancement.
The Real-Time Database is true all the more a distribute/buy-in (pubsub) framework intended for fast ingestion and preparing of information, while the Cloud Firestore is intended for long haul information stockpiling and recovery. Cloud Firestore gives an automatic interface to recovering information dependent on "references," with a SQL-like inquiry sentence structure intended for nonconcurrent preparing.
It wouldn’t be fair to compare Google’s Firebase and MongoDB without talking about MongoDB Atlas, the flagship database as a service from the team at MongoDB. That’s because while Firebase is a database, it is also an application development platform designed in particular for mobile app developers that includes hosting, authentication, data-driven triggers, and analytics. MongoDB Atlas brings MongoDB into the fully managed database world with automated operations, hosting, backup, triggers, and much more.
Firebase is explicitly designed for mobile application development, and its entire user interface and onboarding flow are built around that use case. As such, Firebase has more features for mobile applications (like associating one Firebase instance with one mobile app, and monitoring application usage in the same console), while MongoDB Atlas is built for general-purpose data development, and has many more buttons and knobs to tweak performance, integrations with third-party business intelligence tools, and advanced features for large data installations like Atlas Data Lake.
With the acquisition of Realm in 2019, and continued investment in the Atlas platform, MongoDB is well on its way to matching (or exceeding) the mobile development feature set of Firebase, while offering many more tools for using data outside of the application development space.
Firebase and MongoDB are both designed to perform well at scale, but given MongoDB’s configurability and the range of Atlas performance tiers, it’s hard not to say that MongoDB comes out on top when it comes to pure performance. Third party sites regularly conclude that MongoDB outperforms Firebase, though of course it comes down to your specific problem space and usage pattern.
It makes sense that MongoDB is higher performance: it’s designed to handle the same kind of online transaction processing as relational stores, with real-time applications and fast-moving data pipelines in mind.
Both MongoDB and Firebase are fantastic tools for mobile application development. If you’re looking for a full back-end as a service (BEaaS) and the least possible effort, Firebase is ideal, but MongoDB (and specifically MongoDB Atlas) gives you the most powerful and flexible platform for application development, and the ability to support both transactional and warehouse-style workloads in the same system.
The rule of thumb is, if you’re building a small project or dedicated mobile application, and you don’t mind the lock-in to one cloud provider, Firebase is a great place to start. If you’re looking for a more general-purpose data solution, value performance at scale and advanced querying, MongoDB is going to serve your needs best.
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