Firebase vs Google Cloud Run
Discover how Firebase compares to Google Cloud Run, 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 Google Cloud Run?
Google Cloud Run is a serverless platform that allows developers to deploy containerized applications with real-time communication capabilities using Websockets. It uses Google's highly scalable infrastructure, providing automatic scaling, high availability, and easy integration with other GCP services and products.
Compare Firebase and Google Cloud Run
Let’s compare Firebase and Google Cloud Run, 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 Google Cloud Run. The content was last updated on 18 Nov 2024 for Firebase and on 10 Oct 2024 for Google Cloud Run. 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 If you do find anything incorrect or out of date, then please contact us.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 | Google Cloud Run Yes WebSockets services deployed on Cloud Run can integrate with Google Cloud Memorystore for Redis, which has Pub/Sub features. 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. | Google Cloud Run Yes Read more |
Collaboration capabilities | Enables you to quickly integrate realtime collaborative features like live cursors, member location, avatar stacks, and component locking. | Firebase Yes | Google Cloud Run Yes Realtime collaboration features such as live cursor and profile stacks can be built using Cloud Run's Google Cloud Memorystore for Redis, and Google Firestore for storage. |
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 | Google Cloud Run Yes |
Presence | Maintaining a view of which users are connected, and their associated metadata, enables their online status to be updated in realtime. | Firebase | Google Cloud Run No |
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. | Google Cloud Run No |
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. | Google Cloud Run No |
Message history | Enables clients to catch up on missed messages when inactive, ensuring a user doesn’t miss any important messages. | Firebase No | Google Cloud Run Partial To build a message history feature, you will have to integrate with a database like Cloud Firestore for the storage of messages. Read more |
Push notifications | Cross-platform push notifications make it possible to deliver important and timely messages to users even when they’re inactive. | Firebase | Google Cloud Run No Cloud Run does not natively support push notifications. |
Message delta compression | Minimizes bandwidth and can reduce latency, particularly in scenarios where continuous updates are sent. | Firebase No | Google Cloud Run 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. | Google Cloud Run Yes |
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 | Google Cloud Run Yes |
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:
| Google Cloud Run Cloud Run has a free tier and two paid tiers of usage-based pricing, based the number of CPUs, memory, and requests used. Read more |
Integrations & interoperability | |||
SDKs | Supporting multiple languages and platforms offers greater flexibility when building cross-platform realtime apps. | Firebase
| Google Cloud Run
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Supported realtime protocols | Support for multiple protocols provides the flexibility to choose a protocol that best suits your project’s requirements. | Firebase
| Google Cloud Run
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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
| Google Cloud Run
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Streaming & queueing | Provides a dependable method to reroute messages from the service to third-party streams and queues for further processing. | Firebase Yes | Google Cloud Run Yes |
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. | Google Cloud Run Yes Google Cloud Monitoring provides tools for observing services deployed on Cloud Run. You can use the service to build charts and dashboards. Read more |
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:
| Google Cloud Run Yes Supports:
|
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. | Google Cloud Run In Cloud Run, each revision automatically scales to the necessary number of instances to handle incoming requests, events, or CPU utilization, and scales down to zero instances when there is no traffic. |
Guaranteed message delivery | Ensures messages are never lost during transmission, even in the presence of network disruptions. | Firebase No | Google Cloud Run No Cloud Run doesn't guarantee message deliverability as it can scale to zero instances when traffic drops, interrupting WebSocket connections. |
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 | Google Cloud Run No Cloud Run doesn't guarantee message ordering for WebSockets, as multiple instances may handle connections independently. |
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 | Google Cloud Run No Cloud Run doesn't provide exactly-once message delivery semantics for WebSockets, as it lacks built-in deduplication and can't guarantee single processing of messages across scaling events or instance changes. |
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 | Google Cloud Run 99.95% Read more |
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. | Google Cloud Run No Cloud Run is typically deployed in specific regions, and WebSocket connections are established directly to those regional endpoints. |
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. | Google Cloud Run Yes Cloud Run services are automatically distributed across multiple zones within their deployed region, enhancing availability and fault tolerance without requiring manual configuration. |
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. | Google Cloud Run Yes Cloud Run eliminates single points of failure through multi-zone deployment, automatic load balancing, and auto-scaling. |
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. | Google Cloud Run Unknown. |
Security & compliance | |||
API key authentication | Simplifies the authentication code on trusted servers compared to requesting, managing, and refreshing tokens. | Firebase No | Google Cloud Run Yes Read more |
Token-based authentication | Provides a means to securely authenticate user devices against your user management system. | Firebase | Google Cloud Run No |
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 | Google Cloud Run |
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 | Google Cloud Run Yes |
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 | Google Cloud Run Yes |
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 | Google Cloud Run Yes |
Compliance | Compliance with regulations can impact your ability to meet legal obligations in your industry. | Firebase
| Google Cloud Run
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Alternatives to Firebase and Google Cloud Run
While both Firebase and Google Cloud Run 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 Google Cloud Run
AWS AppSync enables developers to seamlessly handle and synchronize mobile app data in real-time across multiple devices and users.
Socket.IO is a library that provides realtime, bi-directional communication between clients and servers. It allows the management of connections, sending and receiving messages, and more.
Pusher is a first-generation pub/sub messaging service that provides bi-directional hosted APIs for adding realtime features to applications.
Discover how Firebase and Google Cloud Run stack up against Ably
Ably is the definitive realtime experience platform of the internet. See how we compare to Firebase and Google Cloud Run on key dimensions such as core features, pricing, integrations, QoS, performance, and security and compliance.
Try Ably for free to discover the benefits for yourself
Ably has built reliable realtime infrastructure so you don’t have to. On our free plan you benefit from:
- 6M monthly messages
- 200 concurrent channels
- 200 concurrent connections