StreamSets Inc., provider of an enterprise data operations platform, is releasing the StreamSets Data Collector Edge (SDC Edge) platform, providing an end-to-end data ingestion solution for resource- and connectivity-constrained systems such as Internet of Things (IoT) devices and more.
Available as open source software, SDC Edge packs the core functionality of StreamSets Data Collector into a footprint of less than 5MB.
This makes it ideal for IoT use cases, where today ingestion logic is often hand-coded and tightly coupled to the specific device.
The benefits of a small footprint also apply to cybersecurity initiatives, where its low CPU consumption and limited attack surface allow deployment of SDC Edge across large populations of mobile endpoints and networking systems.
Key capabilities of SDC Edge include the ability to run on a broad range of operating systems; the ability to build pipelines with the option to plug in scripts and more; computations such as data normalization, redaction and aggregation; multiple bidirectional pipelines; no IoT gateway cost; and performance management.
Applying machine learning and other analytic techniques to data aggregated from IoT sensors and devices can help in areas as diverse as factory equipment, construction, oil and gas, and medical devices.
Cybersecurity applications benefit from applying advanced analytics to the vast quantities of data collected across a corporate network in order to detect imminent threats or attacks in progress.
"The massive volume of data created by the explosion of digital devices presents an invaluable opportunity for analytics and insight. However, harnessing this data for important efforts such as IoT and cybersecurity has been a challenge due to the lack of end-to-end data ingestion frameworks," said Arvind Prabhakar, co-founder and CTO, StreamSets. "We built SDC Edge to bring disciplined, well-managed data movement to huge populations of IoT sensors and personal devices so that the promised benefits of these critical initiatives are realized."
For more information about this news, visit www.streamsets.com.