KX joins THINGS network and AWS’s ISV workload migration program - The EE

KX joins THINGS network and AWS’s ISV workload migration program

Gerry Buggy of KX

KX, the streaming analytics platform provider, has joined the Stockholm-based THINGS network. Among other applications, KX’s platform enables a number of Formula 1 teams, major investment banks and other industries to analyse their data in real-time; they do so on-premises, on the edge, in the cloud or in combination.

THINGS is a deep tech and innovation hub in Sweden focusing on industry, infrastructure, utilities and mobility. THINGS has 100 members, split 50/50 between deep tech companies and established companies, from Tokyo to Silicon Valley and a range of carefully selected international partners. This enables THINGS to provide truly international services for its members including challenges, acceleration programmes, co-pilots and match-making.

THINGS also arranges open events including its eBazaar, eXplore and Get-On-Top-Of series. Our common interest is a commitment to disruptive innovation and technologies, which are driving the digital transformation. Our vision is “to transform innovation in small companies into large scale value creation through collaboration with corporates”. It does this by nurturing and bringing together start-ups and corporates in order to catalyse the domestic and global development of innovative products and services. Its current focus areas are the Internet of Things (IoT), automation, robotics, mobility, machine learning / artificial intelligence (AI) and energy.

And Amazon, too

A specialist in real-time streaming analytics, KX has also joined the AWS ISV Workload Migration Program (WMP), which helps customers migrate ISV workloads to AWS to achieve their business goals and accelerate their cloud journey.

KX will support customer migrations by providing a repeatable blueprint to harness real-time and historic data at scale for real-time continuous intelligence. This follows the launch of KX Insights KX’s cloud-native streaming analytics platform on AWS Marketplace earlier this year.

KX Insights is a cloud-native solution for mission-critical, real-time analytics and continuous actionable intelligence. Using stream processing, high-speed analytics and machine learning interfaces, it enables fast decision-making and automated responses.

“With KX Insights, customers can run blazingly fast and highly scalable real-time data analytics with all the benefits that a cloud architecture brings,” says Gerry Buggy, chief strategy officer at KX. “By running the world’s fastest streaming analytics platform on AWS, we can enable organisations across all industry sectors to significantly reduce time to value from their data.”

Streaming analytics is forecast to reach US$39bn (€32.93 bn) globally by 2025. Analyst firm Gartner believes that by next year (2022), most business systems will feature real-time data capabilities and that public cloud services will be essential for 90% of data and analytics innovation. Moreover, independent research commissioned by KX shows that 90% of enterprises plan to increase investment in real-time analytics technologies over the near term to maintain operational performance and gain competitive advantage.

KX Insights runs natively on AWS to access all the benefits of its cloud-based technologies and services for delivering real-time streaming analytics. This includes not only low-cost storage on Amazon Simple Storage Service (Amazon S3), the compute elasticity of Amazon Elastic Compute Cloud (Amazon EC2), streaming via Amazon Kinesis and serverless compute via AWS Lambda, but also extends to its expansive catalogue of microservices that enable rapid, flexible deployment of new applications using Docker and Kubernetes.

KX is part of First Derivatives plc, a group of data-driven businesses that unlock the value of insight, hindsight and foresight to drive organisations forward. KX Streaming Analytics, built on the kdb+ time-series database, is an in-memory computing, streaming analytics and operational intelligence platform. It aims to deliver the best possible performance and flexibility for high-volume, data-intensive analytics and applications across multiple industries. The group operates from 15 offices across Europe, North America and Asia Pacific and employs more than 2,500 people worldwide.

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