The catalyst for Chaos was simple, but profound. Thomas Hazel, the founder of Chaos, had spent 25+ years designing, building, and inventing new technology and science in the areas of large scale distributed systems and databases. Through this journey, he saw a need to reinvent how information is both represented and analyzed. The reason was simple: the tsunami of data being generated is simply outpacing Moore's Law and the existing computer science, full stop.
Thomas’ conclusion was that the existing data structures and algorithms used to store and access information would always result in costly and complex systems, no matter how the components were combined. The eureka moment was when Thomas mathematically worked out how to singularly fully index data, for large scale and high performance multi-model analytics, without exploding the size of the data representation or forcing complex sharding.
The insights culminated in a new representation (think data format) that provides extreme compression, but does not require massive compute. A representation that supports multiple access models such as text search and relational analytics. A representation that is uniquely designed to take advantage of pure cloud object storage, without the need of block storage. A representation that naturally handles complex and sparse schemas. A representation that is 100% stream based requiring no sharding, for a new kind of distributed architecture.
With this breakthrough and a seed of an idea, Thomas reached out to like-minded entrepreneurs and technologists. The team’s mission is to build ChaosSearch, a next generation data platform for massive scale analytics - extremely simple, cost-efficient, and fast.