The company argues that the ELK stack and similar tools have limitations when it comes to scalability, and that this forces companies to break up data into multiple clusters to analyze it properly. ChaosSearch positions its platform as an alternative to what’s called the ELK stack, which refers to a complex stack of the Elasticsearch, Logstash and Kibana open-source projects. Walsh’s enthusiasm is for ChaosSearch’s innovative technology that indexes data as-is, for log, SQL and ML analytics, without transformation while auto-detecting native schemas. “I haven’t seen one like this in my entire career.” “I have worked with many startups, and I have also run big enterprises, but I have never seen something this big and this compelling and going after real problems,” Walsh stated. In December 2020, it closed a $40 million Series B funding round co-led by Stripes LLC and Moore Strategic Ventures, for a total amount raised of more than $59 million, after growing revenue by 766% that year, tripling their customer base and doubling their headcount. The Boston-based startup emerged back in January 2017 promising a secure, scalable log analysis platform that’s hosted in a multitenant or dedicated software-as-a-service environment, using an Amazon S3 as a hot data store. “I like the challenge of taking a company that is driving a dramatic innovation and making sure it is also driving profitability and doing it worldwide,” he said. As the company’s chief executive officer, he took up the challenge in late 2020 after stepping down from helming IBM’s $6 billion global storage division.

, a cloud-native data lake platform that indexes data at scale, is celebrating significant milestones. This feature is part of theCUBE’s ongoing CEO Startup Spotlight series to find out what drives them and learn about their visions for the future.Īs global businesses keep the steady march toward a digital-first world, with data at its core, the demand for faster, more efficient data access and analysis to enable insights continues to speed up.

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