A 2017 report from Gartner Inc. also reports that about 10% of enterprise-generated data came from outside of traditional cloud computing centers; by 2022, that figure could soar to 50 percent, leading to a vastly decentralized structure—also known as edge computing.
Data management, computing, analytics, and AI at the edge is an emerging technology that holds great promise for enterprises, and there are many companies developing solutions to help businesses take advantage of edge-based solutions.
SQream, for example, has launched an IoT Edge Partner Innovation Lab in its Tel Aviv R&D office. The lab provides a venue to collaborate with the SQream Nano initiative to bring high performance computing, data management, analytics and AI at the edge. SQream is the developer of SQream DB, the software-defined GPU-accelerated data warehouse designed for rapidly analyzing massive data stores at a fraction of the cost.
For innovation partners, the lab will provide an optimal environment for proof of concepts to test SQream Nano with existing and emerging software and test data. SQream Nano enables the management of terabytes of data at the edge, enabling immediate action on data to improve operational efficiency, quality and security. For areas such as automotive, industrial machines, mobility, smart manufacturing, maritime, aviation and drones, smart cities and more, business and system critical insights can be garnered allowing for rapid response to events and faults, with significantly reduced latency.
“When we started developing SQream DB, one of the original ideas was to enable streaming IoT data for rapid analytics at the edge,” says Ami Gal, co-founder and CEO at SQream. “The SQream Nano Partner Innovation Lab will build on the successful results we have with enterprises around the world and provide an infrastructure for IoT partners who want to leverage our ability to store very large amounts of data locally for near real-time monitoring and analysis.”
SQream Nano can monitor billions of daily events, correlate them, and power predictive analytics. When combined with a C2 (command and control) system, SQream Nano can facilitate proactive measures like changing schedules, calling for proactive maintenance, or toggling modes of elements such as valves and actuators. Providing increased durability, security and privacy, SQream scales easily with lower overall compute and storage requirements.