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Edge Delta is revolutionizing data analysis. Rather than transferring everything to the cloud and then starting to analyze data, Edge Delta starts the analysis where it was created — that is, in K8s containers, AWS EC2, Azure Functions, physical computers, and network devices.
FREMONT, CA: Edge Delta, which analyzes data using distributed stream processing and federated machine learning, has declared a $15-million Series A round led by Menlo Ventures and Tim Tully, the former CTO of Splunk. Previous investors, MaC Venture Capital and Amity Ventures, are participating as well.
DevOps, Security, and SRE teams rely on the capacity to analyze data quickly and efficiently to ensure the health of mission-critical systems. With data growing at an exponential rate, organizations are facing increasing difficulty in keeping up with the volume of data analysis – the associated expenses have grown excessive, and bottlenecks are common. Due to intrinsic technical and economic restrictions, the old, centralized cloud model can no longer be relied on.
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Edge Delta is revolutionizing data analysis. Rather than transferring everything to the cloud and then starting to analyze data, Edge Delta starts the analysis where it was created — that is, in K8s containers, AWS EC2, Azure Functions, physical computers, and network devices.
This "on-the-edge" stream processing enables businesses to evaluate machine data output such as logs, metrics, events, traces, and telemetry at the source, resulting in more complex and in-depth real-time analysis. When compared to standard centralized monitoring solutions, Edge Delta often delivers a nearly 90% reduction in TCO.
"Five years ago, data volumes were smaller, and it was no problem to simply forward all observability data to the cloud, index it, and then analyze it," stated Ozan Unlu, founder and CEO of Edge Delta. "But in that short time, gigabytes have turned into terabytes, and terabytes are turning into petabytes. The centralized cloud model can't handle it in real time without massive trade offs, the traditional system is archaic."
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