Tableau Readies New Release Of Its Data Visualization Software With In-Memory Data Engine, Linux Support

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Tableau Software is giving customers and partners a look at the next release of its data analysis and visualization software today, including a new in-memory data engine, a new data preparation product and a new API for building extensions to the software's dashboard.

Tableau is demonstrating the capabilities of the upcoming Tableau 10.5 at its annual customer conference in Las Vegas this week with more than 14,000 customers and partners in attendance.

The company is also demonstrating the new self-service analytics and data source certification capabilities of Tableau 10.4, which just shipped September 25.

[Related: Tableau Acquisition Aims To Bring Natural Language Capabilities To Data Analysis]

The conference is being held in Las Vegas one week after a gunman, firing from a room in the Mandalay Bay hotel, killed 58 people attending a country music festival across Las Vegas Boulevard.

Tableau said it is dedicating this week's conference, being held at the Mandalay Bay, to the victims, their families, first responders and those who worked in the aftermath of the shootings.

The company is raising funds for the National Compassion Fund to support the victims and their family. And a vigil service is scheduled for Tuesday evening.

"We look forward to finding strength in our engaged and mission-driven community this week," said Elissa Fink, Tableau's chief marketing officer, in a statement before the conference.

At the event Tableau will announce that Tableau 10.5 is now in public beta.

"Data leads to truth. In the absence of data, that vacuum gets filled by myths," said Tableau president and CEO Adam Selipsky in a keynote Tuesday, introducing Tableau 10.5.

The Tableau Server in the upcoming release will, for the first time, run on the Linux operating system. Until now the server has only supported Windows Server. The Linux support will give businesses and organizations that already use Linux more flexibility in deploying Tableau.

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