Frequently Asked Questions

Diffusion is a Kafka Edge Node, which delivers scalable, secure real-time data to power applications in finance, gaming, transportation, logistics, e-commerce, utility, manufacturing, telecom and IoT. Diffusion enables businesses to improve customer experience, reduce latency, and unlock new revenue opportunities, mitigating risk from delayed or inaccurate data.

By providing low-code tools and comprehensive SDKs, Diffusion shortens development cycles, enabling faster product launches. This reduces time-to-market, maximizes innovation ROI, and supports iterative evolution to meet changing customer demands.

Diffusion supports cloud, on-premises, and hybrid deployments with consistent features. This flexibility maximizes infrastructure investment, facilitates smooth migration, and optimizes operational expenses by allowing workload placement based on cost and performance needs.

Patented delta streaming minimizes data transmission, reducing bandwidth and hardware costs significantly. Efficient event processing and scaling cut operational overhead, reducing total cost of ownership while maintaining high availability and performance.

Enterprise-level encryption, role-based security, and audit logging ensure regulatory compliance and minimize risk from data breaches, protecting brand value and avoiding costly fines or downtime.

The comprehensive Help Center and Diffusion Documentation Hub offers onboarding guides, architecture best practices, and support resources to accelerate team productivity, reducing ramp-up costs and accelerating benefits realization.

Diffusion uses proprietary WebSocket-based protocol, supports MQTT, and can consume data from REST, Kafka, JMS and many other sources using our suite of adapters. Additional protocol support can be added with our easy-to-use SDKs and Gateway Framework.

The platform utilizes delta encoding, intelligent queuing, and load balancing across distributed nodes, allowing it to sustain millions of connections and high message rates with sub-millisecond latency.

Comprehensive adapters and APIs reduce integration complexity, leveraging current investments and lowering integration costs. This seamless compatibility accelerates ROI by avoiding costly rewrites or disruptive migrations.

Flexible support packages ensure platform reliability for mission-critical applications, reducing downtime costs and ensuring predictable operational expenses with access to expert assistance and proactive monitoring.

Load balancing, failover, and clustering optimize uptime and resource utilization, preventing costly outages and scaling efficiently with business growth, thus reducing incremental infrastructure spend over time.

Industry leaders in finance, transportation, retail, and gaming rely on Diffusion to deliver critical real-time insights, proving its value in demanding, data-intensive environments where delays or failures translate to lost revenue or competitive disadvantage.

Diffusion offers SDKs for Java, JavaScript, C++, .NET, Python, and mobile platforms

It supports dynamic schemas and multiple serialization formats including JSON, Protocol Buffers, and Avro, allowing flexible data modeling, backward compatibility, and efficient transmission.

Diffusion supports fine-grained access control, filtering, content-based subscriptions, and topic hierarchy management, facilitating targeted data delivery and security.

The platform includes JMX metrics, JVM profiling tools, and detailed logging options. These are accessible via APIs or dashboards for real-time diagnostics and historical analysis.

Diffusion employs clustering, replication, and automatic failover mechanisms. Its architecture allows horizontal scaling, ensuring continuous data flow during failures or peak loads.

Implement role-based access controls, encrypt data in transit and at rest, and use secure authentication mechanisms such as OAuth or Kerberos. Regularly monitor logs and perform security audits for compliance and risk mitigation.

Diffusion’s architecture is optimized for WebSocket scalability using intelligent load balancing, connection multiplexing, and distributed event brokers to maintain stable, low-latency connections for millions of simultaneous clients.

Diffusion employs patented delta encoding to transmit only changes, adaptive data compression, content-based filtering, and efficient serialization formats to reduce data payload, conserving bandwidth and reducing client resource usage.

Diffusion provides adapters that bridge Kafka and other backend streams to frontend WebSocket or SDK clients, supporting seamless transformation, filtering, and protocol translation for efficient real-time data flow.

Diffusion SDKs include offline buffering, reconnection strategies, and adaptive heartbeat mechanisms specifically designed to handle mobile network variability, ensuring consistent data delivery despite backgrounding or intermittent connectivity.

Diffusion supports enterprise-grade security, compliance logging, fine-grained access controls, and integration with governance tooling to meet regulatory requirements specific to financial services and other regulated sectors.