Turbo-charge your Kafka solution

Kafka Only: Kafka offers no clear solution for reliably receiving messages in Web and Mobile applications. The conventional approach is riddled with latency, throughput constraints, and limited connection management.

Kafka + Diffusion: Diffusion makes end-to-end real-time delivery of Kafka data not just possible, but simple and practical too. End-user applications are pushed messages via secure WebSocket channels, with out-of-the-box subscription semantics, flow-control, and session management to ensure consistent application performance and behavior.

Kafka Only: Due to the design of Kafka’s topic partitioning model, most architectures result in a limited number of topics that contain large numbers of events. As the number of consumers and consumer groups increases, the performance degrades drastically. Organizations have to make a trade-off between data granularity and consumer efficiency.

Kafka + Diffusion: Diffusion is purpose-built to handle millions of unique topics, allowing you to scale your data independently from your consumers.

• In-flight transformation rules allow event data to be disaggregated or remapped, enabling more intelligent and efficient distribution of data.
• Diffusion takes away the overhead of scaling the consumer-side of real-time data, allowing organizations to pursue new business opportunities without worrying about operational complexities.

Kafka Only: It’s no secret that Kafka’s security model is relatively limited. This limitation makes it extremely difficult to manage when multi-cluster / multi-region architectures are required, or when external systems need access to Kafka data. This problem is only compounded by the relative lack of granularity in Kafka’s topic model.

Kafka + Diffusion: With Diffusion, dynamic multi-tiered security comes as standard:

• A robust, pluggable authentication system makes it easy to combine standard security adapters (e.g. JWT, OAuth) with completely custom authentication strategies.
• A scalable Role-based Access Control system allows unique security policies to be assigned across hundreds of thousands of active consumers, with changes to permissions applied in real-time across all active connections & subscriptions.

Kafka Only: Kafka’s architectural design as a semi-immutable append-only log is foundational to its success, but also introduces challenges when dealing with efficiency and optimization of network resources. Many implementations of a Kafka-based architecture end up suffering from the “firehose” problem.

Kafka + Diffusion: Diffusion takes an intelligent approach to the problem of distributing real-time data across unreliable networks such as the Internet, with adaptive flow-control, optional conflation of messages, and automatic delta streaming which can reduce bandwidth use by up to 90%.

The result is improved reliability & throughput with lower latency & cost - even across adverse network conditions or at a mass scale.