Beyond Big Data — The Ocient Hyperscale Data Warehouse

The Ocient Hyperscale Data Warehouse is a massively parallel processing (MPP) system designed to efficiently store and analyze petabyte-scale datasets. Ocient utilizes a compute-adjacent storage architecture (CASA), where storage and compute resources are co-located to minimize data movement, thus enhancing query performance. We present the system architecture and dive deeper into data storage in segments, which do not only store columnar table data but also index information. This design, combined with parallel query processing, allows for high throughput and low-latency execution. Beyond that, the paper highlights OcientGeo – deeply integrated data types for geospatial analytics – as well as OcientML – a machine learning integration for running analytics and model training directly inside the database system. These features expand the system’s utility across diverse industries and applications.