10/20/2017 3:07:05 PM
Diffusion 6.0 messaging platform launches
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App Developer Magazine
Diffusion 6.0 messaging platform launches

IoT

Diffusion 6.0 messaging platform launches


Friday, October 20, 2017
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Out-of-the-Box Enterprise-Grade Real-Time Data Streaming Solves the Challenge of Data Management for IoT & Mobile App Development Teams.

Push Technology has announced the release of Diffusion 6.0 - Push Technology’s data streaming and messaging platform is available on-premise, in-the-cloud, or in hybrid configurations. Speed, resiliency, and ease of scalability are the fundamental requirements for Mobile and IoT application development. Challenges created by unreliable and congested networks stand in the way of meeting these requirements. Diffusion 6.0 is an out-of-the-box, Enterprise-grade, solution that integrates with new and existing application architectures - providing an efficient data layer to solve the challenge of business application data management.

Sean Bowen, CEO of Push Technology, explains: “With our latest release we are delivering an Enterprise-grade, data streaming and messaging solution which is simple to deploy and provides customers with the flexibility to start small and add functionality as their requirements expand. Developers no longer need to spend time building real-time data management for their applications because everything they need is available in Diffusion 6.0. We have also focused on enhancing and automating the scalability of Diffusion to fuel application growth. Many organizations attempt to address scalability using traditional techniques and solutions which weren’t purpose-built for mobile and IoT applications. These technologies can be cumbersome to integrate and do not reliably scale. We offer a single solution that does it all.”

The new Diffusion release includes two add-on modules plus enhanced features to further offload development team tasks with out-of-the-box functionality.

Key features in Diffusion 6.0 include


  • Time series data: Time series are ordered series of events. Effective management of time series data is useful for tracking account history, managing inventory or logistics, and for collaborative applications, e.g. chat.
  • Persistence: Data persistence preserves the state of data when a server is closed and then restarted. It is particularly useful for maintenance, update, or an unplanned outage. Persistence eliminates the need for the server to reload the data model when it starts.
  • Typed request-response messaging: Diffusion now allows applications to send request messages or data to a client, a set of clients, or a message path and the recipient of the information can respond directly to the request. Diffusion takes care of data conversion, allowing applications to pass instances of the data type directly to and from the API. Importantly, this allows customers to co-ordinate messages sent with messages received enabling proper transactional interactions.