Why look beyond Pusher

Pusher, acquired by MessageBird in 2020, provides APIs for building real-time features such as chat, live dashboards, and push notifications. Its core offerings, Pusher Channels and Pusher Beams, are built on WebSockets and are supported by SDKs for various programming languages and platforms, including JavaScript, iOS/Swift, Android/Java, and Node.js. While Pusher's free tier allows for up to 200,000 messages daily and 100 concurrent connections, organizations may consider alternatives for reasons such as specific compliance requirements beyond GDPR, the need for broader protocol support (e.g., MQTT), or a preference for providers with a more globally distributed infrastructure for latency-sensitive applications. Developers might also seek different pricing structures, enhanced data synchronization capabilities, or a wider array of integrations with other cloud services. Evaluating alternatives can help align real-time messaging solutions with long-term architectural goals and evolving business needs.

Top alternatives ranked

  1. 1. Ably — Resilient real-time infrastructure with global presence

    Ably provides a suite of APIs for real-time functionality, emphasizing reliability, scalability, and global low-latency performance. Its infrastructure is designed to guarantee message delivery and order, even during network disruptions, through features like automatic reconnection and message queuing. Ably supports a wide range of protocols, including WebSockets, MQTT, and Server-Sent Events, making it adaptable for diverse application requirements. The platform offers a comprehensive set of features, including presence, pub/sub messaging, and integrated authentication and authorization, which are critical for secure and interactive real-time applications. Ably's focus on developer experience is reflected in its extensive documentation and SDKs for over 25 languages and frameworks, alongside compatibility with Pusher's Channels API, which can simplify migration for existing Pusher users.

    • Best for: Applications requiring guaranteed message delivery, global low-latency, multi-protocol support, and easy migration from Pusher.

    Learn more on the Ably Platform page.

  2. 2. PubNub — Real-time APIs for chat, IoT, and live events

    PubNub offers a real-time communication platform designed for building interactive applications with features such as chat, live event streaming, and IoT device control. It provides a global data stream network with a focus on low-latency messaging and high reliability. PubNub's API includes functionalities like publish/subscribe messaging, presence detection, and message history, alongside advanced features such as message filtering, functions (serverless logic), and mobile push notifications. The platform also emphasizes security with end-to-end encryption and access control mechanisms. PubNub supports over 50 SDKs for various languages and platforms, making it versatile for cross-platform development. Its robust infrastructure and comprehensive feature set make it suitable for enterprise-grade applications requiring scalable and secure real-time capabilities.

    • Best for: Building interactive chat applications, IoT solutions, and live event experiences that require global scalability and advanced real-time features.

    Learn more on the PubNub Solutions page.

  3. 3. Twilio Sync — Real-time state synchronization for web and mobile

    Twilio Sync is a real-time state synchronization API that enables developers to build collaborative applications where data needs to be instantly updated across multiple clients. Unlike traditional pub/sub messaging, Sync focuses on shared data structures (Documents, Lists, and Maps) that automatically synchronize changes in real-time. This approach simplifies the development of features like shared whiteboards, collaborative document editing, and multi-user forms. Twilio Sync integrates seamlessly with other Twilio products, such as Twilio Programmable Chat and Programmable Video, allowing for unified communication experiences. It offers SDKs for web, iOS, and Android, providing a consistent API for building cross-platform real-time applications. Sync's managed infrastructure handles the complexities of real-time data consistency and presence, allowing developers to focus on application logic.

    • Best for: Collaborative applications, shared user experiences, and any scenario requiring real-time data synchronization across multiple devices or users.

    Learn more on the Twilio Sync product page.

  4. 4. Firebase Realtime Database — Cloud-hosted NoSQL for real-time data sync

    Firebase Realtime Database is a cloud-hosted NoSQL database that enables developers to store and synchronize data in real-time across multiple clients. Data is stored as JSON and synchronized across all connected clients in milliseconds. When an application goes offline, the SDKs automatically persist data to disk. When connectivity is restored, the client device receives any changes it missed. It is part of the broader Google Firebase platform, which offers a suite of tools for mobile and web development, including authentication, hosting, and cloud functions. Realtime Database provides SDKs for web, iOS, and Android, making it a suitable choice for building cross-platform real-time applications. Its integrated authentication and security rules allow for fine-grained control over data access.

    • Best for: Mobile and web applications requiring automatic real-time data synchronization, offline capabilities, and rapid development with integrated backend services.

    Learn more on the Firebase Realtime Database documentation.

  5. 5. AWS IoT Core — Managed cloud service for connected devices

    AWS IoT Core is a managed cloud service that allows connected devices to interact with cloud applications and other devices securely and reliably. While primarily designed for IoT, its messaging capabilities, based on MQTT, WebSockets, and HTTP, can be leveraged for general real-time communication. It supports billions of devices and trillions of messages, providing robust infrastructure for large-scale deployments. AWS IoT Core includes features like device shadow, which maintains a virtual version of each device, and rules engine, which enables message routing and transformation. Its integration with other AWS services, such as Lambda, S3, and DynamoDB, allows developers to build end-to-end real-time solutions. This makes it a powerful option for applications that require extensive backend integration and scalability within the AWS ecosystem.

    • Best for: IoT applications, industrial solutions, and any real-time system requiring deep integration with AWS services and high scalability for connected devices.

    Learn more on the AWS IoT Core documentation.

  6. 6. Apache Kafka — Distributed streaming platform for real-time data feeds

    Apache Kafka is an open-source distributed streaming platform capable of handling trillions of events daily. While not a direct real-time messaging API like Pusher, it serves as a foundational component for building real-time data pipelines and event-driven architectures. Kafka excels at publishing, subscribing to, storing, and processing event streams in real-time. It provides high-throughput, fault-tolerant, and scalable message queues, making it suitable for applications that require processing large volumes of data with low latency. Developers can use Kafka for use cases such as real-time analytics, log aggregation, and stream processing. Setting up and managing Kafka requires more operational overhead compared to managed services, but it offers significant flexibility and control for complex real-time systems.

    • Best for: Building complex real-time data pipelines, event-driven microservices, log aggregation, and applications requiring high-throughput, durable message queuing with self-hosting flexibility.

    Learn more on the Apache Kafka documentation.

  7. 7. Socket.IO — JavaScript library for real-time bidirectional communication

    Socket.IO is a popular open-source JavaScript library that enables real-time, bidirectional, and event-based communication between web clients and servers. It provides a robust and reliable layer on top of WebSockets, with fallbacks to HTTP long-polling and other transport mechanisms, ensuring connectivity even in environments where WebSockets are not supported. Socket.IO simplifies the development of real-time features by handling connection management, automatic reconnection, and message buffering. It is widely used for chat applications, real-time analytics, and collaborative tools. While Socket.IO requires developers to manage their own server infrastructure, its extensive community support and ease of use within the JavaScript ecosystem make it an accessible option for developers comfortable with self-hosting real-time solutions.

    • Best for: JavaScript developers building real-time web applications who prefer self-hosting and need robust WebSocket-like communication with fallback options.

    Learn more on the Socket.IO documentation.

Side-by-side

Feature Pusher Ably PubNub Twilio Sync Firebase Realtime Database AWS IoT Core Apache Kafka Socket.IO
Core Protocol(s) WebSockets WebSockets, MQTT, SSE Custom (WebSockets, HTTP) WebSockets, HTTP WebSockets (proprietary) MQTT, WebSockets, HTTP TCP (producer/consumer) WebSockets, HTTP Long-polling
Primary Use Case Real-time chat, dashboards, notifications Guaranteed real-time messaging, data streams Chat, IoT, live events Real-time state synchronization Real-time data storage & sync IoT device connectivity & management Event streaming, data pipelines Real-time web apps (JS)
Managed Service Yes Yes Yes Yes Yes (Google Cloud) Yes (AWS) No (self-managed, or managed Kafka services) No (self-managed)
Global Infrastructure Yes Yes (Points of Presence) Yes (Global Data Stream Network) Yes (Twilio regions) Yes (Google global infra) Yes (AWS regions) N/A (user-deployed) N/A (user-deployed)
Offline Sync Limited Yes Yes (message caching) Yes Yes Yes (device shadow) N/A (stream processing) No (requires custom implementation)
SDKs Available 10+ 25+ 50+ 3 3 (Web, iOS, Android) Many (via AWS SDKs) Many (client libraries) 2 (Client, Server)
Serverless Functions / Hooks Yes Yes (Reactor service) Yes (Functions) No (integrates with Twilio Functions) Yes (Cloud Functions) Yes (Rules Engine, Lambda) Yes (Kafka Streams, ksqlDB) No (requires custom server logic)
Pricing Model Usage-based, tiered Usage-based Usage-based Usage-based Usage-based (generous free tier) Usage-based Cost of infrastructure Cost of infrastructure

How to pick

Selecting the right real-time messaging solution involves evaluating several factors related to your application's requirements, operational capabilities, and budget. Consider the following decision-tree style guidance:

  1. Do you need a fully managed service with minimal operational overhead?

    • If Yes: Prioritize options like Ably, PubNub, Twilio Sync, Firebase Realtime Database, or AWS IoT Core. These services handle infrastructure, scaling, and reliability, allowing you to focus on application logic.
    • If No (you prefer self-hosting or have specific infrastructure requirements): Consider Apache Kafka or Socket.IO, which offer greater control but require more operational management.
  2. What is the primary architectural pattern for your real-time needs?

    • For publish/subscribe messaging (e.g., chat, live updates): Ably, PubNub, and Pusher are strong contenders.
    • For real-time state synchronization (e.g., collaborative editing, shared whiteboards): Twilio Sync and Firebase Realtime Database are designed specifically for this use case.
    • For IoT device communication and management: AWS IoT Core and PubNub offer specialized features and scalability for connected devices.
    • For high-throughput event streaming and data pipelines: Apache Kafka is a specialized platform for these demanding scenarios.
  3. What are your performance and reliability requirements?

    • For guaranteed message delivery, global low-latency, and stringent uptime SLAs: Ably and PubNub emphasize these aspects in their service offerings.
    • For real-time data consistency and offline capabilities: Firebase Realtime Database and Twilio Sync provide built-in mechanisms for these features.
    • For extreme scale and fault tolerance in event processing: Apache Kafka is engineered for distributed, high-volume data streams.
  4. Which programming languages and platforms do you primarily target?

    • For JavaScript-centric web applications with self-hosted preference: Socket.IO is a popular choice for its ease of use in the Node.js ecosystem.
    • For broad multi-language and cross-platform support: Ably and PubNub offer extensive SDK libraries.
    • For deep integration within AWS ecosystem: AWS IoT Core is the natural fit.
    • For Google Cloud and Firebase ecosystem integration: Firebase Realtime Database aligns well.
  5. What are your budget constraints and expected usage patterns?

    • Most managed services (Pusher, Ably, PubNub, Twilio Sync, Firebase, AWS IoT Core) offer usage-based pricing, which scales with your application's activity (messages, connections, data transfer). Evaluate their pricing tiers and free plans carefully.
    • Self-hosted solutions like Apache Kafka or Socket.IO involve the cost of managing your own servers and infrastructure, which can vary significantly based on scale and operational expertise.
  6. Are there specific compliance or security requirements?

    • Review each provider's compliance certifications (e.g., GDPR, HIPAA, SOC 2) and security features (e.g., end-to-end encryption, access control) to ensure they meet your industry and regulatory obligations. Providers like Ably and PubNub often highlight their security and compliance frameworks.

By systematically evaluating these considerations, developers and technical buyers can identify the real-time messaging alternative that best aligns with their project's technical specifications, business objectives, and long-term scalability needs.