SendBird vs Stream Chat: Which Alternative is Best? (2026)

SendBird is a fully managed platform and does not offer a self-hosted deployment option. All chat, voice, and video services run on SendBird's cloud infrastructure, so you cannot host the backend yourself. This simplifies scaling and maintenance but means you rely on SendBird's servers and compliance.

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SendBird SDKs provide offline message caching on the client side to allow users to view recent chat history without a network connection. However, sending messages requires connectivity, and queued messages are sent once the device is back online. There is no fully offline mode where messages can be composed and stored indefinitely without syncing.

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Data sent through SendBird is stored on their managed servers, but you retain ownership of your chat content. SendBird provides APIs to export message history and user data, enabling you to back up or migrate data. However, exporting large volumes may require coordination with SendBird support due to rate limits and data privacy policies.

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SendBird enforces rate limits on API calls to ensure platform stability. Typical limits include a maximum number of requests per second per API key and restrictions on message send rates to prevent spam. These limits vary by plan tier, and exceeding them results in HTTP 429 errors. It's important to implement exponential backoff and batching where possible.

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Migrating to SendBird requires exporting your existing chat data in a compatible format and then using SendBird's import APIs or SDKs to ingest that data. The process can be complex depending on the source platform's data schema and volume. SendBird provides some migration guides and support, but substantial custom scripting is often needed for full data fidelity.

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Stream Chat is a fully managed SaaS product and does not offer a self-hosted version. All chat infrastructure, scaling, and maintenance are handled by Stream's cloud service. This means you cannot run the backend on your own servers, but you do get a scalable and reliable service without operational overhead.

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Stream Chat SDKs provide offline support by caching messages locally and syncing with the server once the device reconnects. Messages sent while offline are queued and delivered automatically. However, real-time presence and typing indicators require connectivity. The SDKs handle conflict resolution and maintain message order upon reconnection.

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All chat data stored in Stream Chat belongs to the customer using the service. Stream provides APIs to export message history and user data, but there is no built-in bulk export tool. Customers typically implement their own data export scripts using the REST API. Data retention and deletion policies can be configured per account.

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Yes, Stream Chat enforces API rate limits based on your subscription plan to ensure fair usage and performance. Typical limits include requests per second per user and message size capped at 4KB per message payload. Exceeding limits results in HTTP 429 errors. Higher-tier plans offer increased limits and throughput.

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Stream Chat does not provide a native migration tool, but you can import historical chat data by using their REST API to programmatically create channels and messages. This requires writing a custom migration script that respects Stream's data model and rate limits. Planning for user ID mapping and message timestamps is essential.

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