Yellowbrick Data Warehouse is an advanced, massively parallel processing (MPP) SQL database designed for the most demanding batch, real-time, ad hoc, and mixed workloads. It can run complex queries at up to petabyte scale across numerous nodes, with guaranteed sub-second response times.
Yellowbrick was conceived with the goal of optimizing price/performance. New SQL analytics use cases are emerging all the time, and more concurrent users are consuming more ad hoc analytics. That requires more performance per dollar spent, and Yellowbrick architecture leapfrogs the industry in this respect. It’s not uncommon for customers to see their workloads run tens or hundreds of times faster at a fraction of the cost compared to cloud-only or legacy data warehouses.
Download this white paper to learn about:
- Design concepts behind Yellowbrick Data Warehouse
- Our new thinking about database design in the context of modern instances
- How we bring truly creative solutions to old problems such as storage management, execution performance, concurrency, speed, and cost