Google Cloud Run vs Pusher
Discover how Google Cloud Run compares to Pusher, and understand which is right for your use case, based on dimensions such as core features, pricing, reliability, and scalability.
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.
What is Pusher?
Pusher is a first-generation pub/sub messaging service that provides bi-directional hosted APIs for adding realtime features to applications. Pusher offers two products:
- Channels - Build scalable realtime features
- Beams - Programmatic push notifications
Compare Google Cloud Run and Pusher
Let’s compare Google Cloud Run and Pusher, 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 Google Cloud Run and Pusher. The content was last updated on 10 Oct 2024 for Google Cloud Run and on 1 Aug 2024 for Pusher. 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 If you do find anything incorrect or out of date, then please contact us.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. | 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 | Pusher Yes |
Chat capabilities | Accelerates the time to implement rich chat experiences with features such as read receipts, typing indicators, and more. | Google Cloud Run Yes Read more | Pusher No Pusher has channels which enable read receipts, but no SDK, reactions, or read-receipts built in. Read more |
Collaboration capabilities | Enables you to quickly integrate realtime collaborative features like live cursors, member location, avatar stacks, and component locking. | 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. | Pusher No |
State sync capabilities | Enables realtime data synchronization across devices and users, ensuring a cohesive and up-to-date user experience. | Google Cloud Run Yes | Pusher |
Presence | Maintaining a view of which users are connected, and their associated metadata, enables their online status to be updated in realtime. | Google Cloud Run No | Pusher Yes |
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. | Google Cloud Run No | Pusher No |
Message interactions | Enables interaction with previously-sent messages, facilitating the implementation of features like message reactions and threads. | Google Cloud Run No | Pusher No |
Message history | Enables clients to catch up on missed messages when inactive, ensuring a user doesn’t miss any important messages. | 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 | Pusher No Pusher does not offer any message history functionality. But Cache Channels stores the last event sent to the channel - it is stored for a max of 30 min or until a new event arrives. This can be useful in some use cases. |
Push notifications | Cross-platform push notifications make it possible to deliver important and timely messages to users even when they’re inactive. | Google Cloud Run No Cloud Run does not natively support push notifications. | Pusher Yes Pusher's product Beams is a cross-platform push notifications API. |
Message delta compression | Minimizes bandwidth and can reduce latency, particularly in scenarios where continuous updates are sent. | Google Cloud Run No | Pusher No |
Programmatic management | Enables the automation of provisioning, management, and testing of service resources, simplifying integration with existing development workflows such as CI. | Google Cloud Run Yes | Pusher No |
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. | Google Cloud Run Yes | Pusher Partial Only in 'sandbox', which is a free plan which gives you 200,000 messages and up to 100 concurrent connections per day. |
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. | 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 | Pusher Pusher has free, flexible, and Enterprise plans based on number of messages and concurrent connections. See more information |
Integrations & interoperability | |||
SDKs | Supporting multiple languages and platforms offers greater flexibility when building cross-platform realtime apps. | 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. | 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. | 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. | Google Cloud Run Yes | Pusher No |
Observability services | Enables realtime monitoring and troubleshooting by offering insights into service behavior directly in your observability platform of choice. | 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 | Pusher Yes Pusher provides Datadog and Librato integrations. |
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. | Google Cloud Run Yes Supports:
| Pusher No |
Quality of Service | |||
Scalability | Scalability is vital as it ensures the service can handle increased data load or users without compromising performance. | 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. | Pusher No scalability metrics published. |
Guaranteed message delivery | Ensures messages are never lost during transmission, even in the presence of network disruptions. | Google Cloud Run No Cloud Run doesn't guarantee message deliverability as it can scale to zero instances when traffic drops, interrupting WebSocket connections. | Pusher No |
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. | Google Cloud Run No Cloud Run doesn't guarantee message ordering for WebSockets, as multiple instances may handle connections independently. | Pusher No |
Exactly-once message delivery | Guarantees that each message is processed exactly once, preventing data inconsistencies that can arise from duplicate processing or missing messages. | 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. | Pusher No |
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. | Google Cloud Run 99.95% Read more | Pusher Channels SLA: API will be made available with an Annual API Uptime Percentage of 99.95%. Pusher will use commercially reasonable efforts to make Pusher Beams available with an Annual Uptime Percentage of > 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. | Google Cloud Run No Cloud Run is typically deployed in specific regions, and WebSocket connections are established directly to those regional endpoints. | Pusher 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. | 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. | Pusher No Pusher apps are located in a single data center rather than distributed across multiple data centers. Any latency issues that occur in that data center will affect all apps hosted there. |
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. | Google Cloud Run Yes Cloud Run eliminates single points of failure through multi-zone deployment, automatic load balancing, and auto-scaling. | Pusher No Pusher apps are located in a single data center rather than distributed across multiple data centers. If that data center goes offline then all apps hosted there are affected. |
Latency | Low latency is crucial for realtime apps as it ensures swift and efficient data transmissions, providing a smoother and more responsive user experience. | Google Cloud Run Unknown. | Pusher Not shared. Because apps exist in only one region, message latencies increase for clients the further they are from your chosen data center. |
Security & compliance | |||
API key authentication | Simplifies the authentication code on trusted servers compared to requesting, managing, and refreshing tokens. | Google Cloud Run Yes Read more | Pusher Yes |
Token-based authentication | Provides a means to securely authenticate user devices against your user management system. | Google Cloud Run No | Pusher Yes |
Single Sign-On (SSO) authentication | SSO streamlines login processes, boosts security by minimizing password use, and meets compliance needs for secure data access management. | Google Cloud Run | Pusher Partial For GitHub and Google. |
Rules for permissions and operations | Provides control over which users can subscribe and publish to certain channels. | Google Cloud Run Yes | Pusher Partial Requires you to implement an endpoint they will call to check if operation is allowed. |
End-to-end encryption | Ensures that the data transmitted between the client and the API server remains confidential and secure while in transit. | Google Cloud Run Yes | Pusher Yes |
Encryption at rest | Ensures data stored by the service is secure and compliant, while also mitigating the risks of a data breach. | Google Cloud Run Yes | Pusher No |
Compliance | Compliance with regulations can impact your ability to meet legal obligations in your industry. | Google Cloud Run
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Alternatives to Google Cloud Run and Pusher
While both Google Cloud Run and Pusher 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 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.
Alternatives to Pusher
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.
OneSignal is a customer engagement platform that offers push notifications, messages, and email sends for businesses to manage communication with their users.
Discover how Google Cloud Run and Pusher stack up against Ably
Ably is the definitive realtime experience platform of the internet. See how we compare to Google Cloud Run and Pusher 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