Firebase vs Socket.IO
Discover how Firebase compares to Socket.IO, and understand which is right for your use case, based on dimensions such as core features, pricing, reliability, and scalability.
What is Firebase?
Firebase is a cloud-native backend by Google that allows developers to build mobile and web applications. Firebase services include Firebase Realtime data, Firestore database, authentication, and Firebase Cloud Messaging (FCM), among others.
What is Socket.IO?
Socket.IO is a library created in 2010 that provides realtime, bi-directional communication between clients and servers. It allows the management of connections, sending and receiving messages, and more. Built on top of the WebSocket protocol, it provides additional capabilities compared to raw WebSockets. WebTransport (a WebSocket alternative) is also supported.
Compare Firebase and Socket.IO
Let’s compare Firebase and Socket.IO, looking at key dimensions such as their core features, pricing, integrations, QoS, performance, and security and compliance.
Disclaimer:This comparison was created based on documentation and resources freely available online about Firebase and Socket.IO. The content was last updated on 18 Nov 2024 for Firebase and on 26 Sept 2024 for Socket.IO. Be sure to double-check everything before you make any decisions. If you do find anything incorrect or out of date, then please contact us.
| Core features | |||
Pub/Sub messaging | Reduces communication code complexity, simplifying the process of building highly functional and architecturally complex realtime apps. | Firebase Partial Firebase does not natively support Pub/Sub messaging. However, this can be implemented with Google's Pub/Sub service. Read more | Socket.IO No Need to rely on a third party - e.g. use a Redis adapter to broadcast events to clients through the Redis pub/sub mechanism. Read more |
Chat capabilities | Accelerates the time to implement rich chat experiences with features such as read receipts, typing indicators, and more. | Firebase Yes You can build chat capabilities on top of Firebase's Realtime Database. | Socket.IO Partial As it's a library, you need to create the chat capabilities yourself. But this can be done using Socket.IO. |
Collaboration capabilities | Enables you to quickly integrate realtime collaborative features like live cursors, member location, avatar stacks, and component locking. | Firebase Yes | Socket.IO Partial As it's a library, you need to implement collaboration capabilities yourself. But you can do this using Socket.IO itself. |
State sync capabilities | Enables realtime data synchronization across devices and users, ensuring a cohesive and up-to-date user experience. | Firebase Yes The Firebase Realtime Database lets you store and sync data between your users in real time. Read more | Socket.IO No The library does not support this. You would need to create a bespoke state sync capability or integrate a third party library to get state synchronisation. |
Presence | Maintaining a view of which users are connected, and their associated metadata, enables their online status to be updated in realtime. | Firebase | Socket.IO Partial It is the duty of your application to link a Socket.IO connection to a user account. Read more |
Occupancy | High-level metrics about the clients currently connected to a channel make it simple to show things such as connected user count, or display which channels are the most popular. | Firebase Partial Firebase does not have built-in support for occupancy tracking. However, occupancy tracking functionality can be built on top of the Firebase Realtime Database. | Socket.IO |
Message interactions | Enables interaction with previously-sent messages, facilitating the implementation of features like message reactions and threads. | Firebase Partial Message interactions are not natively supported in Firebase. However, you can programmatically build interactions on top of Firebase's Realtime Database. | Socket.IO Partial You would need to build the message interaction functionality yourself on top of Socket.IO. Learn more |
Message history | Enables clients to catch up on missed messages when inactive, ensuring a user doesn’t miss any important messages. | Firebase No | Socket.IO No The Socket.IO server does not store messages. Your application has to persist messages somewhere for the clients that are not currently connected. Learn more |
Push notifications | Cross-platform push notifications make it possible to deliver important and timely messages to users even when they’re inactive. | Firebase | Socket.IO No Socket.IO not support Push notifications. You would need to build this capability yourself and/or use another library. Learn more |
Message delta compression | Minimizes bandwidth and can reduce latency, particularly in scenarios where continuous updates are sent. | Firebase No | Socket.IO No |
Programmatic management | Enables the automation of provisioning, management, and testing of service resources, simplifying integration with existing development workflows such as CI. | Firebase Yes Firebase projects can be managed programmatically using the Firebase Management API. | Socket.IO Yes The Socket.IO server is initialised in code. It is possible to configure the socket.IO server's configuration in code as well. Learn more |
| Pricing | |||
Free plan | With a free plan, you can test the service’s functionality and compatibility with your project before committing to a paid plan. | Firebase Yes The Spark plan (free plan) realtime database is limited to 100 simultaneous connections and 1 GB of storage. Read more | Socket.IO Yes Open Source framework that uses the MIT license. |
Pricing model | The pricing model should align with your project's expected load, usage patterns, and budget in order to be cost-effective and efficient. | Firebase Firebase has a free plan and a pay-as-you-go plan:
| Socket.IO Free and open-source. |
| Integrations & interoperability | |||
SDKs | Supporting multiple languages and platforms offers greater flexibility when building cross-platform realtime apps. | Firebase
| Socket.IO Client and Server APIs only.
|
Supported realtime protocols | Support for multiple protocols provides the flexibility to choose a protocol that best suits your project’s requirements. | Firebase
| Socket.IO
|
Serverless functions | Enables integration with third-party cloud providers by facilitating the execution of custom code against messages to perform business logic like on-the-fly translation. | Firebase
| Socket.IO No It is not possible to trigger serverless functions with Socket.IO on it's own. See this Reddit post for more info |
Streaming & queueing | Provides a dependable method to reroute messages from the service to third-party streams and queues for further processing. | Firebase Yes | Socket.IO No Socket.IO does not offer native queues and streaming. |
Observability services | Enables realtime monitoring and troubleshooting by offering insights into service behavior directly in your observability platform of choice. | Firebase Yes Using Firebase Performance Monitoring you can monitor your application performance based on location, device, or version. | Socket.IO Yes The Socket.IO admin UI can be used to have an overview of the state of your Socket.IO deployment. |
CI/CD tools | Makes it possible to provision and configure service infrastructure as part of a CI or CD pipeline, enabling repeatable and reliable deployments. | Firebase Yes Supports:
| Socket.IO No |
| Quality of Service | |||
Scalability | Scalability is vital as it ensures the service can handle increased data load or users without compromising performance. | Firebase Firebase Realtime Database is limited to 200,000 simultaneous connections, 1000 Cloud Functions per write (500 for v2 per region), 1 MB event size, and 10 MB/sec data transfer to Cloud Functions. | Socket.IO No published metrics. Socket.IO servers don’t communicate between them, so you need a way to route events to all clients, even if they are connected to different servers. This is made possible by using adapters, of which the Redis adapter seems to be the most popular choice. |
Guaranteed message delivery | Ensures messages are never lost during transmission, even in the presence of network disruptions. | Firebase No | Socket.IO Partial By default, Socket.IO provides an "at most once" guarantee of delivery. From the client side, you can achieve an at least once guarantee with acknowledgements and timeouts. |
Guaranteed message ordering | Maintains the sequence of messages as they were sent. This is particularly important in apps where the chronological order of messages is essential for meaningful communication. | Firebase No | Socket.IO |
Exactly-once message delivery | Guarantees that each message is processed exactly once, preventing data inconsistencies that can arise from duplicate processing or missing messages. | Firebase No | Socket.IO No At least once or at most once only. |
| Performance & availability | |||
Uptime Guarantee | An uptime guarantee instills confidence in the reliability of the service and protects your business from the negative impacts of downtime. | Firebase 99.95%. Read more | Socket.IO No It is a library, not a platform. |
Global edge network | By bringing servers (Points of Presence, or PoP) geographically closer to the devices of end users, and routing requests to the nearest PoP, global latency is reduced to a minimum. | Firebase Yes Firebase benefits from Google's global edge network. | Socket.IO No |
Multi-region data replication (message durability) | By replicating data across multiple regions, the risk of data loss or downtime is greatly mitigated since if data is lost or a server fails in one region, the information can be retrieved from another. | Firebase No Multi-region data replication is currently not supported in Firebase Realtime Database, but it is supported in Firestore databases. | Socket.IO No |
No single point of failure or congestion | Having no single point of failure means a system is resilient and can continue to operate even if one part fails. Avoiding a single point of congestion ensures messages flow efficiently across the system and avoids bottlenecks that could lead to performance issues under load. | Firebase No Each Realtime Database instance is tied to a single region chosen at the time of creation. | Socket.IO No As Socket.IO is a library, the implementation of it dictates points of failure and congestion. |
Latency | Low latency is crucial for realtime apps as it ensures swift and efficient data transmissions, providing a smoother and more responsive user experience. | Firebase Unknown. | Socket.IO Unknown |
| Security & compliance | |||
API key authentication | Simplifies the authentication code on trusted servers compared to requesting, managing, and refreshing tokens. | Firebase No | Socket.IO No |
Token-based authentication | Provides a means to securely authenticate user devices against your user management system. | Firebase | Socket.IO No No native Token based auth. It is possible to use middlewares. |
Single Sign-On (SSO) authentication | SSO streamlines login processes, boosts security by minimizing password use, and meets compliance needs for secure data access management. | Firebase Yes SSO in a Firebase application can be implemented using SAML (Security Assertion Markup Language). Read more | Socket.IO No No native SSO. It is possible to use middlewares. |
Rules for permissions and operations | Provides control over which users can subscribe and publish to certain channels. | Firebase Yes Using Firebase Realtime Database Security Rules you can set who has access to your database. Read more | Socket.IO No |
End-to-end encryption | Ensures that the data transmitted between the client and the API server remains confidential and secure while in transit. | Firebase No Data in transit is encrypted using HTTPS in all Firebase services, but this does not include end-to-end encryption. Read more | Socket.IO No |
Encryption at rest | Ensures data stored by the service is secure and compliant, while also mitigating the risks of a data breach. | Firebase Partial Some Firebase services are encrypted at rest while others are not. Firebase Realtime Database and Firebase Cloud Messaging are encrypted at rest. Read more | Socket.IO No |
Compliance | Compliance with regulations can impact your ability to meet legal obligations in your industry. | Firebase
| Socket.IO None. |
Alternatives to Firebase and Socket.IO
While both Firebase and Socket.IO are worth considering as options for realtime experiences, they aren’t without their limitations. We suggest evaluating them against the following alternatives to make sure you find the right solution for your needs.
Alternatives to Firebase
Supabase Realtime is a globally distributed real-time server network built on PostgreSQL, enabling developers to build applications with real-time data sync.
Pusher is a first-generation pub/sub messaging service that provides bi-directional hosted APIs for adding realtime features to applications.
OneSignal is a customer engagement platform that offers push notifications, messages, and email sends for businesses to manage communication with their users.
Alternatives to Socket.IO
Azure SignalR is an Azure-hosted, fully managed realtime framework built on top of an open-source software library for Microsoft ASP.NET.
Firebase Realtime Database is a cloud-hosted database by Google, allowing developers to build realtime applications for web and mobile.
PubNub is a developer API platform that powers the realtime infrastructure in apps to build engaging Virtual Spaces where online communities can connect.
Discover how Firebase and Socket.IO stack up against Ably
Ably is the definitive realtime experience platform of the internet. See how we compare to Firebase and Socket.IO on key dimensions such as core features, pricing, integrations, QoS, performance, and security and compliance.
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Ably has built reliable realtime infrastructure so you don’t have to. On our free plan you benefit from:
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