DiffusionData, a secure, real-time data server that powers personalised experiences on mobile, web and AI platforms, has announced that it has joined the Connect with Confluent technology partner program. This program helps businesses accelerate the development of real-time applications through fully managed integrations with Confluent Cloud.
This partnership brings together Confluent’s industry-leading data streaming platform, powered by Apache Kafka®, with Diffusion’s proven edge data distribution technology. While Confluent Cloud provides enterprises with a fully managed, cloud-native Kafka service for capturing and processing real-time event streams, Diffusion extends this capability to the edge. By efficiently distributing data through the internet to millions of end users, devices, and applications, Diffusion ensures that the value of Kafka-powered event streams reaches customers where it matters most, at scale, in real time, and over unpredictable networks.
Grethe Brown, CEO of DiffusionData, said "The partnership demonstrates the strength of our combined solution. We are delivering an innovative, trusted foundation for enterprises that need to reliably stream, transform, and distribute data to millions of end users and devices in real-time."
Diffusion Connector (Source and Sink)
The Diffusion Kafka Connector is a Kafka Connect plug-in that allows web, mobile, and IoT clients to consume and send real-time and event-driven data that is stored as rich data structures within Kafka - with optimal bandwidth efficiency, and at scale. It includes a source connector for publishing real-time Diffusion topic updates to Kafka topics, as well as a sink connector that broadcasts messages from one or multiple Kafka topics to Diffusion topics.
Expanding the data streaming ecosystem together with Confluent
Connect with Confluent brings fully managed data streams directly to organizations through a single integration to the cloud-native and complete data streaming platform, Confluent Cloud. It’s now easier than ever for organizations to stream any data through Diffusion with a fully managed Apache Kafka® service that spans hybrid, multi-cloud, and on-premise environments.
Build real-time applications with Diffusion
With Confluent Cloud powering real-time event streaming across the enterprise, Diffusion ensures that those streams can be consumed, transformed, and delivered efficiently to any end-point, whether it be mobile apps, web clients, IoT devices, or edge services. Acting as a powerful Edge server, Diffusion bridges the gap between Kafka streams in the cloud and the users and systems that rely on them.
At its core, Diffusion is built for scalable, reliable, and cost-efficient distribution of data over the internet. Using patented delta-compression technology, Diffusion reduces bandwidth and egress costs by up to 90% while ensuring real-time delivery at sub-millisecond latency worldwide. This means enterprises can confidently extend Kafka-powered applications to millions of users, without worrying about performance bottlenecks, spiraling infrastructure costs, or inconsistent user experiences.
Diffusion doesn’t just move data; it adds intelligence in flight. With built-in low-code data transformation, protocol translation, and granular data delivery controls, Diffusion ensures that each consumer gets the right data, in the right format, at the right time. Confluent and Diffusion enable enterprises to capture, process, and act on event streams centrally, then seamlessly deliver personalised, real-time updates at scale to the edge.
Diffusion is used by companies worldwide in sectors such as financial services, eGaming, retail, travel and transportation, health, defence and digital media. It is purpose-built to simplify and speed data-driven, real-time application development, reduce operational costs, and economically deliver personalised data.
More information about the partnership is available here, also the latest DiffusionData blog discusses in more detail the benefits of the relationship to end users.
