Kafkorama benchmark: 1M msg/s to 1M clients with <5 ms mean latency (on 1 node)

Posted by michelrotaru on Friday October 03, 2025 @05:36AM
from the kafkorama.com dept.

https://kafkorama.com/blog/benchmarking-kafkorama.html

( 3 comments | on HN )

Re:Kafkorama benchmark: 1M msg/s to 1M clients with <5 ms me... by michelrotaru on Friday October 03, 2025 @05:44AM (#45460989)

Kafkorama exposes real-time data from Apache Kafka as Streaming APIs for web, mobile, and IoT apps.

We just benchmarked it:

- 1M messages/second delivered to 1M concurrent WebSocket clients

- Mean end-to-end latency <5 ms (30-minute runs, >1B messages each)

- 609 MB/s outgoing throughput using 512-byte messages

- Achieved both on a single node (vertical) and across a cluster (horizontal) with linear scalability

Blog post: https://kafkorama.com/blog/benchmarking-kafkorama.html

[ Parent | on HN ]

Re:Kafkorama benchmark: 1M msg/s to 1M clients with <5 ms me... by SquidJack on Friday October 03, 2025 @05:57AM (#45461069)

can connect to any database provider?

[ Parent | on HN ]

Re:Kafkorama benchmark: 1M msg/s to 1M clients with <5 ms me... by michelrotaru on Friday October 03, 2025 @08:28AM (#45462184)

Kafkorama itself doesn't talk directly to databases — it integrates natively with Kafka. If your DB streams into Kafka (via Debezium or connectors), Kafkorama can expose that data to users, and vice-versa. With the Kafkorama SDKs you can also connect directly to any database (or other system) and either push data into Kafkorama or get data from it, even without Kafka.

[ Parent | on HN ]