5 Best Alternatives to Ably in 2026

Why look beyond Ably

Ably provides a suite of tools for developing realtime applications, including pub/sub messaging, presence, and message history. Its architecture is designed for scalability and fault tolerance, supporting use cases from live chat to IoT device communication. Ably offers a free developer tier and compliance certifications such as SOC 2 Type II and ISO 27001 Ably Compliance. However, developers may consider alternatives for several reasons.

Cost can be a factor, particularly as usage scales beyond the free tier, with paid plans starting at $75/month for 15 million messages and 1,000 peak concurrent connections Ably Pricing. Some projects might require a self-hosted solution for greater control over data residency or infrastructure, which Ably, as a managed service, does not directly offer. Specific feature requirements, such as advanced stream processing capabilities or deeper integration with a particular cloud ecosystem (e.g., AWS, Azure, GCP), could also lead developers to explore other platforms. Additionally, the developer experience and preferred SDK language support might vary, prompting a search for a provider that aligns more closely with a team's existing technology stack or operational preferences.

Top alternatives ranked

1. 1. PubNub — Global Data Stream Network for realtime applications

   PubNub is a realtime communication platform that facilitates pub/sub messaging, presence detection, and push notifications. It is engineered for low-latency data streaming across a global network, making it suitable for applications requiring instant updates and reliable delivery. PubNub provides SDKs for over 50 platforms and languages, including JavaScript, Python, and Java PubNub SDKs. Its core offerings include chat APIs, live audience engagement features, and IoT device control. PubNub is designed to handle high volumes of concurrent users and messages, offering features like message persistence, access management, and serverless functions for data transformations.

   Developers often choose PubNub for its established global infrastructure and extensive feature set that simplifies the development of complex realtime applications. The platform's focus on security and reliability, with features like end-to-end encryption and guaranteed message delivery, can be a deciding factor for enterprise-grade solutions. Pricing for PubNub is based on messages, concurrent users, and additional features, with various plans available PubNub Pricing. It offers a free tier for development and testing purposes.

   Best for:

   • Building large-scale chat applications
   • Realtime GPS tracking and mapping
   • IoT device command and control
   • Live event streaming and audience engagement

   Visit the PubNub profile page for more details.

2. 2. Apache Kafka — Distributed streaming platform for high-throughput data pipelines

   Apache Kafka is an open-source distributed streaming platform designed for building realtime data pipelines and streaming applications. It functions as a publish-subscribe messaging system, capable of handling high volumes of events and processing them in a fault-tolerant and scalable manner. Kafka's architecture relies on topics, producers, and consumers, allowing for decoupled data streams. It is widely used for log aggregation, stream processing, and event sourcing Apache Kafka Documentation. Kafka can be deployed on-premises or used through managed services offered by cloud providers.

   Unlike managed realtime APIs, Kafka provides the underlying infrastructure for building custom streaming solutions. This offers greater control and flexibility but requires more operational overhead for setup, maintenance, and scaling. Kafka's ecosystem includes Kafka Streams for building stream processing applications and Kafka Connect for integrating with other data systems. Developers often select Kafka when they need a robust, scalable, and open-source solution for complex data streaming requirements, especially in environments where fine-grained control over infrastructure and data flow is critical. While not a direct drop-in replacement for Ably's managed API, Kafka can serve as a foundational component for building similar realtime capabilities.

   Best for:

   • Building custom, high-throughput data pipelines
   • Event sourcing architectures
   • Realtime analytics and monitoring
   • Microservices communication

   Visit the Apache Kafka profile page for more details.

3. 3. Redpanda — Kafka-compatible streaming data platform for high performance

   Redpanda is a Kafka-compatible streaming data platform written in C++ that aims to offer higher performance and simpler operations than Apache Kafka. It provides a single binary, shared-nothing architecture designed for low-latency and high-throughput data streaming. Redpanda supports the Kafka API, allowing existing Kafka clients and tools to interact with it seamlessly Redpanda Documentation. It integrates stream processing capabilities, a built-in schema registry, and tiered storage, simplifying the overall streaming infrastructure.

   Developers choose Redpanda for its operational simplicity and performance characteristics, particularly in scenarios where minimizing latency and maximizing throughput are critical. Its Kafka compatibility makes it an attractive alternative for teams already familiar with the Kafka ecosystem but seeking improved efficiency and reduced operational complexity. Redpanda can be deployed on-premises, in the cloud, or as a managed service. While it provides the infrastructure for realtime data, like Kafka, it requires custom development to expose realtime APIs comparable to Ably's. It's often used as a backend for applications that need to process and distribute large volumes of event data to clients.

   Best for:

   • High-performance streaming data applications
   • Kafka users seeking operational simplicity and lower latency
   • Event-driven microservices architectures
   • Realtime data ingestion and processing

   Visit the Redpanda profile page for more details.

4. 4. AWS IoT Core — Managed cloud service for connecting IoT devices

   AWS IoT Core is a managed cloud service that enables connected devices to interact with cloud applications and other devices securely and reliably. It supports billions of devices and trillions of messages, providing a robust infrastructure for IoT solutions. AWS IoT Core utilizes MQTT, HTTP, and WebSockets protocols for communication, offering features like device authentication, authorization, and a rules engine to route messages to other AWS services AWS IoT Core Documentation. It integrates with AWS Lambda, Amazon S3, Amazon DynamoDB, and other services for data processing, storage, and analytics.

   For projects heavily invested in the AWS ecosystem, AWS IoT Core provides a native solution for managing and communicating with IoT devices. While Ably offers general-purpose realtime messaging, AWS IoT Core is specifically tailored for the unique challenges of IoT, including device shadow, fleet indexing, and over-the-air updates. Its pay-as-you-go pricing model is based on messages exchanged and connection duration AWS IoT Core Pricing. Developers building complex IoT solutions that require deep integration with other AWS services might find AWS IoT Core a more suitable and cost-effective option.

   Best for:

   • Large-scale IoT deployments
   • Secure device connectivity and management
   • Integrating IoT data with other AWS services
   • Building device-to-cloud and cloud-to-device communication

   Visit the AWS IoT Core profile page for more details.

5. 5. DigitalOcean App Platform with WebSockets — Managed platform for deploying realtime applications

   DigitalOcean App Platform is a Platform-as-a-Service (PaaS) that allows developers to deploy web applications, APIs, and static sites directly from a Git repository. While not a dedicated realtime messaging service like Ably, it can host applications that implement WebSockets for realtime communication. Developers can deploy backend services (e.g., Node.js, Python, Go) that establish WebSocket connections with clients, offering a customizable approach to realtime functionality DigitalOcean App Platform Documentation. This approach provides flexibility in choosing specific WebSocket libraries and frameworks.

   This alternative is suitable for developers who prefer to build and manage their realtime backend logic and want a streamlined deployment experience. It offers more control over the underlying server-side code compared to a fully managed API, which can be beneficial for highly customized realtime features or specific integration needs. Pricing for DigitalOcean App Platform is based on the resources consumed by the deployed components, such as CPU, RAM, and bandwidth DigitalOcean App Platform Pricing. It provides a free tier for static sites and basic web services. Choosing this path means taking on the responsibility for scaling, maintaining, and securing the WebSocket server, unlike Ably which handles these aspects as a managed service.

   Best for:

   • Developers who want full control over their realtime backend
   • Hosting custom WebSocket servers
   • Integrating realtime features into existing web applications
   • Projects looking for a straightforward PaaS deployment

   Visit the DigitalOcean App Platform profile page for more details.

Side-by-side

How to pick

Selecting the right realtime messaging or streaming platform depends on several factors, including your project's specific requirements, budget, team expertise, and desired level of control. Consider the following decision points:

• Managed Service vs. Self-hosted: If you prioritize operational simplicity, rapid development, and offloading infrastructure management, a managed service like PubNub or AWS IoT Core (for IoT) might be more suitable. These services handle scaling, reliability, and security, allowing your team to focus on application logic. If you require fine-grained control over your infrastructure, data residency, or wish to build a highly customized streaming solution, open-source options like Apache Kafka or Redpanda, deployed on your own infrastructure or via a cloud provider, offer that flexibility.
• Core Use Case: For general-purpose realtime communication such as chat, live dashboards, or multiplayer games, PubNub offers a comprehensive set of features and a global network. If your primary focus is on IoT device connectivity, communication, and management, AWS IoT Core provides specialized tools and deep integration within the AWS ecosystem. For high-throughput data pipelines, event sourcing, or complex stream processing, Apache Kafka or Redpanda are designed for these demanding scenarios.
• Ecosystem and Integrations: Evaluate how well the platform integrates with your existing technology stack. If your application is heavily invested in AWS, AWS IoT Core will offer seamless integration with other AWS services. For teams building web applications and looking for a straightforward deployment platform that can host custom WebSocket backends, DigitalOcean App Platform could be a viable option, especially if you're already using DigitalOcean for other infrastructure.
• Scalability and Performance: All listed alternatives are designed for scalability, but their approaches differ. Managed services abstract away much of the scaling complexity. Distributed streaming platforms like Kafka and Redpanda offer high throughput and low latency, but require careful planning and management for optimal performance. Consider your projected message volume, concurrent connections, and latency requirements.
• Cost Model: Understand the pricing structure. Managed services typically charge based on messages, concurrent connections, and feature usage. Self-hosted solutions incur costs related to compute, storage, and networking resources, plus the operational overhead of managing the platform. Utilize free tiers and trials to benchmark performance and estimate costs before committing to a solution.
• Developer Experience and SDKs: Check the availability of SDKs for your preferred programming languages and platforms. Comprehensive documentation and active community support can significantly impact development speed and troubleshooting. Services like PubNub and Ably offer a wide array of SDKs, while Kafka and Redpanda leverage a common client API.