Guavus has acquired SQLstream, a real-time streaming analytics start-up based in San Francisco. Financial terms were not disclosed.
SQLstream offers suite of high-performance, low-latency, and low-cost edge data collection and smart mediation products. The solutions are used for real-time data quality assurance and competitive price optimization, real-time travel-time services integrating sensors with smartphone applications, traffic congestion detection and prediction for ‘smart city’ initiatives, real-time emergency services dashboard and alerts, and continuous data quality assessment and correction for IoT devices. Their customer list includes companies such as Walmart, Cisco, and Amazon AWS, which licensed the SQLstream technology for use within AWS Kinesis Data Analytics, powering the applications of thousands of AWS customers.
Guavus said the deal helps it to expand its offering, providing communications service providers (CSPs) and Industrial Internet of Things (IIoT) customers access – at the network edge – to real-time, cloud-enabled streaming analytics to address their growing big data needs.
“With our integrated solutions, CSPs to IIoT customers will be able to take advantage of something that’s radically different as we deliver AI-powered analytics from the network edge to the network core. With this solution, our customers can now analyze their operational, customer, and business data anywhere in the network in real time, without manual intervention, so they can make better decisions, provide smarter new services, and reduce their costs,” said Guavus CEO, Faizel Lakhani.
“In a world facing exponential growth in the volume of data coming from increasingly connected network devices and IIoT-based sensors, the inclusion of SQLstream’s industry-leading technology opens up huge new opportunities for our customers and our partners. Their disruptive technology allows customers to interactively inspect and curate streaming data for analytics at the edge. We’re excited to have the SQLstream team onboard,” said Lakhani.