With Hyper now powering Tableau, you’ll see faster extract creation and better query performance for large data sets.
We’ve supercharged extract creation by eliminating almost all post-processing after data ingest. And since Hyper is designed to handle exceptionally large data sets, you can choose to extract your data based on what you need, not data volume limitations. Bottom line: Extract more data, faster.
When you’re analyzing data, staying in the flow is important. In other words, you need fast query performance to keep up with you and your questions. With Hyper, we’ve improved performance for common computationally-intensive queries, like count distinct, calculated fields, and text field manipulations. And as data volumes grow, Tableau keeps up without breaking a sweat, meaning you get answers to the most complex, data-hungry questions you can think of.
Organizationally, Hyper helps you scale widely-used extracts for broad, concurrent use. Hyper improves transaction throughput by better leveraging your hardware. So, during peak usage times, like end of quarter sales bookings, your Tableau deployment better handles Tableau Server workload spikes.