Tableau Launches Hyper, Dramatically Improving Analytical Performance

Tableau 10.5 with Hyper will provide customers up to 5X faster query speed and 3X faster extract creation speed, in addition to Tableau Server on Linux, embedded tooltip visualizations, and additional governance control

Tableau Software announced the roll out of Hyper, the new data engine technology included within Tableau 10.5. With Hyper’s ability to slice and dice massive volumes of data in seconds, customers will see up to 5X faster query speed and up to 3X faster extract creation speed.* This will allow faster insights for even larger data sets, giving organizations the ability to scale their analysis to more people. Also included in the release is Tableau Server on Linux and the ability to embed multiple visualizations in a single view with Viz in Tooltip. Hyper, along with the rest of Tableau 10.5 capabilities, including drag-and-drop power trend lines, a new Box connector, and Tableau Mobile updates, will be available to all customers in all products this week. To learn more, visit

With Hyper data engine technology powering the entire Tableau platform, customers will take their analytics performance to the next level. Hyper’s state of the art in-memory technology makes fast, easy visual analytics a reality for all customers, said Francois Ajenstat, Chief Product Officer at Tableau.

Hyper is Tableau’s new in-memory data engine technology, designed for fast data ingest and analytical query processing on large or complex data sets. With enhanced extract creation and refresh performance, and support for even larger datasets, customers can choose to extract their data based on the needs of the business, without concern for scheduling limitations. Furthermore, to keep customers in the flow of their analysis, Hyper can complete queries on large data sets in seconds. With fast query performance, complex dashboards open faster, filters are snappier, and adding new fields to visualizations is almost instantaneous. Originally incubated at the renowned Technical University of Munich (TUM) in Germany, Tableau acquired the commercial spin off and integrated the technology into the product in fewer than 18 months.

Hyper also helps customers scale their extracts for broad usage by leveraging the latest multi-core processor advancements and employing novel workload parallelization techniques. Hyper’s patent-pending technology is a fast in-memory system designed for transactional and analytical workloads without compromising performance. By leveraging cutting edge query optimization techniques and a single columnar storage state for all workloads, Hyper will help bring customers closer to their data.

“In our business, fast paced questions need even faster answers. From our beta testing thus far, it’s clear that on complex data sets, Hyper can take our data-driven decision making to the next level,” said Rory Abbazio, Director, IT Data Analytics at National Grid. “To that end, Hyper has the potential to be a strategic game changer for us. In addition to substantially improving the performance of our visualizations we see an opportunity to reduce infrastructure costs by leveraging the Tableau Data Engine exclusively.”

Hyper has gone through extensive customer and internal validation including a seven-month pre-release program and nightly performance testing with 62,000 workbooks. Upgrading to Hyper is seamless; customers can simply upgrade to Tableau 10.5 and no data migration is needed.

With Hyper, Tableau continues to give customers choice and flexibility in their data analysis, as they can choose how they want to connect to their data. Customers can leverage Tableau’s hybrid architecture with live and extract options, as well as its portfolio of more than 65 connectors to more than 75 data sources.

*Performance compared between Hyper and Tableau Data Engine using a mix of scenarios designed to reflect common customer uses cases. Customer results will vary.

Read the original release hereTableau Launches Hyper – New Data Engine Technology Delivering Unprecedented Analytical Performance