The amount of data running through businesses is exploding. Business success depends on being able to quickly analyze and act upon it. However, existing technology architecture and solutions are inherently unable to handle this tsunami of information. To even have a chance of doing so, customers have to add more and more compute, and wrack up more and more costs. As a result, they limit the data they analyze. Plus, since traditional analysis solutions require customers to move their data into the vendor’s platform, the customers risk security, privacy, and analytics performance.
“ChaosSearch takes an entirely different approach to data analytics. We invented a new data index and a new architecture to not just fill the huge and critical gaps existing in traditional solutions. But to enable new business opportunities for companies,” said Les Yetton, CEO of ChaosSearch. “ChaosSearch provides the capabilities operational professionals need to store and analyze data at a scale, simplicity, and cost that’s disruptive. Businesses can be much more agile, efficient, and more easily meet changing market conditions. We’re honored that the Stevie American Business Awards recognizes the value of our solution.”
Nicknamed the Stevies for the Greek word meaning “crowned,” the 2020 awards received more than 3,600 nominations for consideration in a range of categories. More than 230 professionals participated in the judging process to select this year’s winners. The judges’ comments about ChaosSearch are noteworthy:
ChaosSearch delivers on the true promise of data lakes, instantly turning a company’s own cloud object storage into a hot, robust, streamlined data analytics engine, where it is as simple to generate insights from the lake as it is to dump data into it. Implemented today as a data lake engine for scalable log analysis on Amazon S3, ChaosSearch is an ELK-compatible, highly secure, fully managed service that scales to petabytes of data, quickly and at disruptively low cost. The privately held company is based in Boston, MA. For more information, visit ChaosSearch.io or follow on Twitter @ChaosSearch.