{"id":25025,"date":"2021-06-26T06:25:47","date_gmt":"2021-06-26T06:25:47","guid":{"rendered":"https:\/\/rbsitsoftwaresolution.com\/blog\/edge-delta-raises-15m-series-a-to-take-on-splunk.html"},"modified":"2021-06-26T06:25:47","modified_gmt":"2021-06-26T06:25:47","slug":"edge-delta-raises-15m-series-a-to-take-on-splunk","status":"publish","type":"post","link":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/edge-delta-raises-15m-series-a-to-take-on-splunk.html","title":{"rendered":"Edge Delta raises $15M Series A to take on Splunk"},"content":{"rendered":"

Seattle-based Edge Delta<\/a>, a startup that is building a modern distributed monitoring stack that is competing directly with industry heavyweights like Splunk, New Relic and Datadog, today announced that it has raised a $15 million Series A funding round led by Menlo Ventures and Tim Tully, the former CTO of Splunk. Previous investors MaC Venture Capital and Amity Ventures also participated in this round, which brings the company\u2019s total funding to date to $18 million.<\/p>\n

\u201cOur thesis is that there\u2019s no way that enterprises today can continue to analyze all their data in real time,\u201d said Edge Delta co-founder and CEO Ozan Unlu, who has worked in the observability space for about 15 years already (including at Microsoft and Sumo Logic). \u201cThe way that it was traditionally done with these primitive, centralized models \u2014 there\u2019s just too much data. It worked 10 years ago, but gigabytes turned into terabytes and now terabytes are turning into petabytes. That whole model is breaking down.\u201d<\/p>\n

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Image Credits:<\/strong> Edge Delta<\/p>\n

He acknowledges that traditional big data warehousing works quite well for business intelligence and analytics use cases. But that\u2019s not real-time and also involves moving a lot of data from where it\u2019s generated to a centralized warehouse. The promise of Edge Delta is that it can offer all of the capabilities of this centralized model by allowing enterprises to start to analyze their logs, metrics, traces and other telemetry right at the source. This, in turn, also allows them to get visibility into all of the data that\u2019s generated there, instead of many of today\u2019s systems, which only provide insights into a small slice of this information.<\/p>\n

While competing services tend to have agents that run on a customer\u2019s machine, but typically only compress the data, encrypt it and then send it on to its final destination, Edge Delta\u2019s agent starts analyzing the data right at the local level. With that, if you want to, for example, graph error rates from your Kubernetes cluster, you wouldn\u2019t have to gather all of this data and send it off to your data warehouse where it has to be indexed before it can be analyzed and graphed.<\/p>\n

With Edge Delta, you could instead have every single node draw its own graph, which Edge Delta can then combine later on. With this, Edge Delta argues, its agent is able to offer significant performance benefits, often by orders of magnitude. This also allows businesses to run their machine learning models at the edge, as well.<\/p>\n

<\/a><\/p>\n

Image Credits:<\/strong> Edge Delta<\/p>\n

\u201cWhat I saw before I was leaving Splunk was that people were sort of being choosy about where they put workloads for a variety of reasons, including cost control,\u201d said Menlo Ventures\u2019 Tim Tully, who joined the firm only a couple of months ago. \u201cSo this idea that you can move some of the compute down to the edge and lower latency and do machine learning at the edge in a distributed way was incredibly fascinating to me.\u201d<\/p>\n

Edge Delta is able to offer a significantly cheaper service, in large part because it doesn\u2019t have to run a lot of compute and manage huge storage pools itself since a lot of that is handled at the edge. And while the customers obviously still incur some overhead to provision this compute power, it\u2019s still significantly less than what they would be paying for a comparable service. The company argues that it typically sees about a 90 percent improvement in total cost of ownership compared to traditional centralized services.<\/p>\n

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Image Credits:<\/strong> Edge Delta<\/p>\n

Edge Delta charges based on volume<\/a> and it is not shy to compare its prices with Splunk\u2019s and does so right on its pricing calculator<\/a>. Indeed, in talking to Tully and Unlu, Splunk was clearly on everybody\u2019s mind.<\/p>\n

\u201cThere\u2019s kind of this concept of unbundling of Splunk,\u201d Unlu said. \u201cYou have Snowflake and the data warehouse solutions coming in from one side, and they\u2019re saying, \u2018hey, if you don\u2019t care about real time, go use us.\u2019 And then we\u2019re the other half of the equation, which is: actually there\u2019s a lot of real-time operational use cases and this model is actually better for those massive stream processing datasets that you required to analyze in real time.\u201d<\/p>\n

But despite this competition, Edge Delta can still integrate with Splunk and similar services. Users can still take their data, ingest it through Edge Delta and then pass it on to the likes of Sumo Logic, Splunk, AWS\u2019s S3 and other solutions.<\/p>\n

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Image Credits:<\/strong> Edge Delta<\/p>\n

\u201cIf you follow the trajectory of Splunk, we had this whole idea of building this business around IoT and Splunk at the Edge \u2014 and we never really quite got there,\u201d Tully said. \u201cI think what we\u2019re winding up seeing collectively is the edge actually means something a little bit different. [\u2026] The advances in distributed computing and sophistication of hardware at the edge allows these types of problems to be solved at a lower cost and lower latency.\u201d<\/p>\n

The Edge Delta team plans to use the new funding to expand its team and support all of the new customers that have shown interest in the product. For that, it is building out its go-to-market and marketing teams, as well as its customer success and support teams.<\/p>\n

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Edge computing startup Macrometa gets $20M Series A led by Pelion Venture Partners<\/a><\/p>\n<\/blockquote>\n

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Deeplite raises $6M seed to deploy ML on edge with fewer compute resources<\/a><\/p>\n<\/blockquote>\n

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Article source: http:\/\/feedproxy.google.com\/~r\/techcrunchIt\/~3\/6tfDqvN9e14\/<\/p>","protected":false},"excerpt":{"rendered":"

Seattle-based Edge Delta, a startup that is building a modern distributed monitoring stack that is competing directly with industry heavyweights like Splunk, New Relic and Datadog, today announced that it <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[19],"tags":[25],"class_list":["post-25025","post","type-post","status-publish","format-standard","hentry","category-enterprise-software","tag-enterprise"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t