# Data Analytics at a Hyper Speed with Tableau 10.5

*Source: https://trginternational.com/blog/data-analytics-at-hyper-speed-with-tableau-10-5/*

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**Tableau 10.5** has officially been launched on January 10.  The latest release is expected to cement the Tableau’s position as [a pioneer in data visualisation and analytics](../../../com/trginternational/blog/3-best-business-intelligence-analytics-vendors-2017.html) by delivering up to 5X improvement in query performance and 3X improvement in extraction.

![Data Analytics at a Hyper Speed with Tableau 10.5](https://blog.trginternational.com/hs-fs/hubfs/images/Tableau-visual-600x200.png?width=711&name=Tableau-visual-600x200.png "Data Analytics at a Hyper Speed with Tableau 10.5")

# Boosting analytics performance with in-memory technology

The tremendous performance boost is made possible by Hyper, an **in-memory data engine**. Hyper will significantly improve the data ingest and analytical processing of very large data sets like those of internet of things applications.

Hyper in-memory technology allows for simultaneous transactional and analytical workloads. As a result, visual analytics is brought closer to the **transactional systems** that are underpinning many enterprises.

**Read more:** [Tableau 10.2 is now available in the cloud](//blog.trginternational.com/tableau-10.2-is-now-available-in-the-cloud)

  
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One particular area where the performance is substantially improved is **data extraction.** Data extracts are snapshots of data from the sources that are stored in-memory. Their sizes can become very large and refreshing the extracts can take a lot of time. Hyper enables much faster query response times and extract refreshes.

**Read more:** [Data Analytics for Manufacturing: the Tesla’s Case Study](../../../com/trginternational/blog/data-analytics-for-manufacturing-the-tesla-motors-case-study.html)

# Running on Linux

Tableau 10.5 also supports deployment on most popular distributions of **Linux** such as RHEL 7, CentOS 7, Oracle Linux, or Ubuntu 16.04 LTS.

Integrating Tableau 10.5 with existing Linux environments is easy and can be done either **on premises or in the public cloud**. User authentication can be controlled via LDAP, Active Directory, or local authentication, and use available Linux tools such as Bash and Yum.

**Infographic:** [Top 10 Business Intelligence Trends in 2018](../../../com/trginternational/blog/2018-top-10-business-intelligence-trends-infographic.html)

# More data connections

In addition to the existing 75-plus data connectors, this release also adds a new connector to Box. It maintains the ability to connect to practically all web data through the Web Connector.

The Amazon Redshift connector is updated to ensure a deeper integration with AWS. Users can now use Tableau to analyse data in Amazon Redshift **in conjunction with** data in Amazon S3.

  
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