Loading and Querying Concurrently
Yellowbrick’s response times do not degrade unacceptably during bulk or streaming data loads, or during ELT processing.
Most SaaS applications need to either answer user-defined ad-hoc queries against large data sets or embed reports, graphs and charts for analytics, or both. The more up-to-date the data, the better, and data models that lend themselves to multi-tenancy are the icing on the cake.
Yellowbrick’s response times do not degrade unacceptably during bulk or streaming data loads, or during ELT processing.
Streaming inserts of business data from operational databases are immediately available and transactionally consistent. Say goodbye to micro-batching or stale data.
Support for thousands of concurrent users, workload management, data isolation through multiple databases and elasticity with multiple compute clusters with separate storage and compute provide the foundation of a platform that can scale with your business.
Don’t prepay credits! Available with monthly on-demand pricing, predictable subscriptions or even embedded all-you-can-eat licenses, the Yellowbrick team are great to do business with. Our customers love us, with a net promoter score (NPS) of 84.