Denormalized Analysis
What is Denormalized?
Denormalized is a stream processing engine built on Apache DataFusion. Its unique architecture allows processing millions of events per second on a single node. This capability enables organizations to handle large-scale data streams efficiently and effectively.
HQ Country
San Francisco, United States
Employees
1-10
Founded
2022
Industry
Data Analytics, Cloud Infrastructure, Devtools
Product Features & Capabilities
- Stream processing engine built on Apache DataFusion
- High throughput event processing on a single node
- Embeddable architecture for seamless integration
- Real-time data analytics capabilities
- Support for complex event processing.
