RealFeedApp Our custom streaming engine ingests over one million messages per second
A company processing over one million messages per second built two custom streaming engines in Rust and Go. Parity tests demonstrated that bespoke implementations outperformed existing databases for high-throughput, low-latency data pipelines.
- Field
- tools and releases
- What they did
- A company built its own real-time streaming data engine using Rust and Go to handle over one million messages per second.
- Why it matters
- This enables them to process high-cardinality time series data with the necessary latency, throughput, and fault tolerance that off-the-shelf databases cannot provide.
#rust#go#streaming engine#database#llm
