Funds for Analytics Firm That Leaves Cloud Behind

Seattle-based distributed data analysis firm Edge Delta has announced a $15m Series A round of funding.

Edge's approach to analytics moves away from cloud-dominated processing - the firm says the explosion in the volume of data means pushing everything to the cloud is an inefficient way to analyse it, with frequent bottlenecks and spiralling costs. Instead, analysis starts where the data sits - distributed stream processing and federated machine learning are used to dynamically route data to the best destinations, including K8s containers, AWS and Azure Functions, physical machines, and network devices - leading to 'significant operational efficiencies' and making new types of analysis possible.

The round was led by Menlo Ventures and Tim Tully, the former CTO of rival data cruncher Splunk. Previous investors, MaC Venture Capital and Amity Ventures, are participating as well.

Co-founder and CEO Ozan Unlu comments: '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. 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'. Co-founder and CTO Fatih Yildiz says the Edge system is 'transformative' because it gives teams 'complete visibility of all of their data'.

Web site: www.edgedelta.com .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.