Stream

Overview

Stream offers a suite of APIs and SDKs to assist developers in building real-time communication and social engagement features into their applications. The platform is designed to abstract the complexities associated with developing scalable chat, activity feeds, and live video infrastructure, providing pre-built components and backend services. This approach allows development teams to focus on application-specific logic rather than real-time data synchronization, message delivery, or video streaming protocols.

The service is structured around three primary product lines: the Chat API, the Activity Feed API, and the Video API. The Chat API supports various messaging functionalities, including direct messages, group chats, channels, reactions, and moderation tools, suitable for applications requiring in-app communication. The Activity Feed API enables the creation of social feeds, news feeds, and notification systems, offering features like personalization, aggregation, and real-time updates. The Video API provides tools for integrating live streaming, video calls, and interactive video experiences. Stream targets developers and technical buyers looking to implement these features without developing the underlying real-time infrastructure from scratch. Its applicability ranges from social networking platforms and e-commerce applications to educational tools and internal communication systems.

Stream supports a range of development environments through its comprehensive SDKs for web, mobile, and backend languages. This includes JavaScript, React, Flutter, iOS (Swift), Android (Kotlin), Python, PHP, Go, Ruby, and .NET, facilitating integration into diverse technology stacks. The API itself is RESTful, allowing for direct interaction and custom implementations when SDKs are not preferred or available for a specific environment. The platform is engineered to handle high concurrency and large user bases, making it suitable for applications that anticipate significant growth in user engagement and real-time data traffic.

Key features

• Chat API: Provides functionalities for direct messaging, group chats, channels, reactions, threads, and moderation. Features include read states, typing indicators, file attachments, and push notifications for real-time communication (Stream Chat API reference).
• Activity Feed API: Enables the creation of personalized news feeds, social activity streams, and notification systems. Supports various feed types (flat, aggregated, ranked), real-time updates, and fan-out mechanisms (Stream Feeds documentation).
• Video API: Offers tools for building live streaming, video conferencing, and interactive video applications. Includes features for managing participants, audio/video tracks, screen sharing, and recording.
• Client-side SDKs: Comprehensive SDKs for JavaScript, React, React Native, Flutter, iOS (Swift), and Android (Kotlin) simplify front-end integration.
• Server-side SDKs: Supports backend development with SDKs for Python, PHP, Go, Ruby, and .NET.
• Moderation Tools: Automated and manual moderation capabilities for chat and feeds, including profanity filters, content flagging, and user banning.
• Scalability: Designed for high performance and scalability to support applications with thousands to millions of concurrent users and messages.
• Compliance: Adherence to industry standards such as SOC 2 Type II, GDPR, and HIPAA, addressing data security and privacy requirements.

Pricing

Stream offers a tiered pricing model based on monthly active users (MAU) for its Chat and Activity Feed products, with a free tier available for development and small-scale projects. The Video API requires custom quotes.

Pricing as of May 2026. For the most current information, refer to the official Stream pricing page.

Common integrations

• Authentication Systems: Integrates with existing user authentication systems to secure access to chat and feed features.
• Content Delivery Networks (CDNs): For optimizing media delivery within chat and feed features.
• Cloud Storage: Integration with services like AWS S3 or Google Cloud Storage for handling file attachments in chat.
• Push Notification Services: Connects with platforms like Firebase Cloud Messaging for real-time alerts (Firebase Cloud Messaging documentation).
• Analytics Platforms: To monitor user engagement and feature usage within applications.
• CRM and Customer Support Platforms: For integrating in-app chat with customer service workflows.

Alternatives

• Twilio: Offers a comprehensive suite of communication APIs, including programmable chat, video, and SMS, often chosen for its extensive global reach and flexible building blocks.
• Sendbird: Specializes in in-app chat, calls, and live streaming APIs, providing a direct competitor for real-time communication features.
• Agora: A real-time engagement platform known for its voice, video, and live interactive streaming SDKs, often used for high-quality audio and video experiences.
• Firebase: Google's mobile and web application development platform, offering features like Cloud Firestore for real-time databases and Firebase Cloud Messaging for notifications, which can be used to build custom chat and feed functionalities.
• PubNub: Provides real-time communication APIs for chat, IoT, and live events, focusing on global messaging infrastructure and low-latency data streams.

Getting started

To initialize a Stream Chat client using JavaScript and send a simple message, you would typically set up your client with an API key and user token, then interact with a channel. This example demonstrates client initialization, connecting a user, and sending a message within a specific channel.

import { StreamChat } from 'stream-chat';

const apiKey = 'YOUR_STREAM_API_KEY';
const userToken = 'YOUR_USER_TOKEN'; // This should be generated on your backend
const userId = 'john-doe';
const userName = 'John Doe';

const client = StreamChat.getInstance(apiKey);

async function initializeChat() {
  try {
    await client.connectUser(
      {
        id: userId,
        name: userName,
        image: 'https://getstream.io/random_png/?id=john-doe',
      },
      userToken,
    );
    console.log('User connected:', userId);

    const channel = client.channel('messaging', 'general-chat', {
      name: 'General Chat',
      members: [userId], // Add other members as needed
    });

    await channel.watch(); // Watch the channel for real-time updates
    console.log('Channel watched:', channel.id);

    const messageResponse = await channel.sendMessage({
      text: 'Hello, Stream Chat!',
    });
    console.log('Message sent:', messageResponse.message.id);

  } catch (error) {
    console.error('Error initializing chat:', error);
  }
}

initializeChat();

This JavaScript example outlines the basic steps for connecting a user and sending a message. The userToken should be securely generated on your backend to ensure proper authentication and authorization, as direct exposure of user tokens in client-side code is not recommended for production environments. More detailed documentation on backend token generation and advanced chat features is available in the Stream Chat API reference.