The cloud data platform is an emerging paradigm that combines elements of data warehouses and data lakes to integrate myriad data points, generate insights, and create business value. It brings together many data types, users, and use cases, transforming and delivering data to business intelligence (BI) and data science tools, as well as applications that embed BI and data science algorithms. The cloud data platform provides a common repository to support the overlapping worlds of BI, data science, and applications, and consumes cloud provider infrastructure to optimize performance with capabilities such as columnar processing, workload isolation, and lightweight indexing. Various vendors offer distinct mixes of elements, including data clouds, SQL lakehouses, unified analytics platforms, and index-driven cloud data platforms, each extending their platform with additional capabilities. One example is ChaosSearch's index-driven cloud data platform, which helps mid-sized and large enterprises increase the scale of their log analytics and BI workloads without incurring too many expensive compute cycles, transforming, querying, and searching data objects to support analytics use cases.