01
History into live delivery
history returns resume_from for SSE or WebSocket, then official SDKs deduplicate by partition cursor.
Not substitutes at the same layer
Need broker control? Run Kafka. Need event delivery? Use MsgMesh.
MsgMesh uses Kafka underneath but exposes HTTP, SSE, WebSocket, Webhook, SDKs, and MCP. The choice is whether your team owns the broker or consumes application delivery paths.
Core differences
A tunable event platform versus an application delivery service.
| Question | MsgMesh | Self-managed Kafka |
|---|---|---|
| Realtime browser delivery | SSE and WebSocket with heartbeats, cursors, and SDK reconnects | Build the gateway, authentication, connection lifecycle, and reconnect logic |
| Webhook | Built-in delivery, brief retries, DLQ, and replay | Build consumers, retry classification, signing, DLQ, and operator tooling |
| AI agent | Official MCP Server for publishing, waiting, and governance | Build an MCP server or event-to-agent bridge |
| Semantics | SSE, WS, and Webhook are at-least-once; long-poll is at-most-once | Transactions, read_committed, and Kafka Streams can support exactly-once designs |
| Retention and tuning | Fixed at 3 or 30 days by plan; no compaction or per-topic tuning | Control retention, compaction, partitions, compression, and broker settings |
| Client ecosystem | HTTP, SSE, WS; official JavaScript and Python SDKs | Kafka wire protocol and broad Java, Go, Rust, .NET, and other clients |
What MsgMesh handles
It removes application seams above the broker.
02
Short-lived browser access
Keep the long-lived key on the backend and issue a token up to 15 minutes, limited by action, topic, and room.
03
Multi-tenant namespaces
Credentials determine the tenant. Physical topics and consumer groups receive a prefix callers cannot override.
These capabilities do not replace idempotency, sender verification, business snapshots, or a token-broker. Your system owns those in either design.
When to self-manage
Kafka control matters when these requirements appear.
01
You own reliability and regions
You need RF≥2, multiple brokers, cross-AZ or region deployment, explicit RPO/RTO, or your own customer SLA.
02
Stream processing and ecosystem
You need Kafka Streams, Connect, ksqlDB, transactions, log compaction, or a broad client ecosystem.
03
High throughput and low-level tuning
You need batch production, compression, partition strategies, disk and network tuning, and a team to operate them.
Honest boundary
MsgMesh is currently a single-node public beta.
For the scope of Kafka exactly-once and transactions, refer to the official Apache Kafka design docs. External system writes still require coordination with that system.
Keep reading
Follow the delivery path you actually need.
Not sure self-management is worth it? Run one event first.
Validate application delivery on Free, then decide from your reliability and control requirements.