Striim Receives 2017 IoT Evolution Product of the Year Award

PALO ALTO, CA, July 31, 2017 – Striim, provider of the leading end-to-end data integration and streaming analytics platform, announced today that Striim for IoT has received the 2017 IoT Evolution Product of the Year Award from IoT Evolutionmagazine and IoT Evolution World, the leading magazine and website covering IoT technologies.

“Striim for IoT was developed to meet the three primary challenges to effective IoT data management: managing the tsunami of data generated by IoT devices; integrating IoT data with the enterprise and analyzing it in real time; and addressing security issues associated with the explosion of connected devices,” stated Steve Wilkes, co-founder and CTO of Striim. “We’re thrilled that Striim for IoT has been recognized so highly by IoT Evolution.”

“The solutions selected for the IoT Evolution Product of the Year Award reflect the diverse range of innovation driving the machine-to-machine market today. It is my honor to congratulate Striim for their innovative work and superior contribution to the rapidly evolving IoT industry,” said Carl Ford, CEO of Crossfire Media, a co-publisher of IoT Evolution.

“It is my pleasure to recognize Striim for IoT, an innovative solution that earned the company the 2017 IoT Evolution Product of the Year Award,” said Rich Tehrani, CEO, TMC. “I look forward to seeing more innovation from Striim in the future.”

Along with the 2017 IoT Evolution Product of the Year Award, Striim was also presented with the Award for Best IoT-Specific Code or Development Solution at IoT Evolution Expo in July.

About Striim

Striim is an enterprise-grade, real-time data integration and intelligence platform. Striim makes it easy to ingest and process high volumes of streaming data – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use Striim to deliver real-time data integration, analysis and visualization for a wide variety of use cases including data security, fraud, SLA monitoring, customer experience, replication, data modernization, and internet of things (IoT) analytics.

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