Tableau Desktop

Business analytics anyone can use.

Answer questions as fast as you can think of them with Desktop.

Tableau Desktop is data analysis that keeps you in the flow. It’s easy to learn, easy to use, and 10-100x faster than existing solutions. It’s built on breakthrough technology that translates pictures of data into optimized database queries. Use your natural ability to see patterns, identify trends and discover visual insights in seconds. No wizards, no scripts.

A Visual Query Language for Data

Spun out of Stanford in 2003, Tableau combines advances in computer graphics and database query to change the way you see and understand data.

The five core design principles of Tableau’s visual analysis products are: Easy User Interfaces, Easy Data Exploration, Expressiveness, Visualization Best Practices and Database Independence. All of these principles are embodied in or enabled by Tableau’s VizQL™.

Making visual analysis real

Tableau's first breakthrough was VizQL, a technology that allows you to visualize data of any size simply by dragging and dropping. The innovation is a patented software language that translates your drags and drops into an optimized database query and then displays the databases's response graphically.

This creates a fundamentally new way of interacting with databases and spreadsheets. People can now do data visualization and data analysis as a single action, streamlining the process of human visual analysis. The right presentation of data makes it easy to organize and understand the information. Computational support for visualization gives the user the ability to iterate on different presentations of data, asking new questions and exploring it interactively.

Learn more about Tableau’s breakthrough technologies that make this software so unique.

The Data Engine
Designed for massive data

The next breakthrough was Tableau's Data Engine, which gives users the ability to do ad hoc analysis of massive data in seconds. The Data Engine combines advances in database and computer graphics technology to let you visually query massive data in a truly ad hoc fashion.

With huge data comes huge possibility. When we built the Data Engine, we focused on data layout and algorithms that allow Tableau to realize speed-of-thought performance. You can work with all your data in-memory on a laptop or mobile device and get query responses in seconds or less.

Learn more about Tableau’s breakthrough technologies that make this software so unique.

Goals of the Tableau Data Engine

  1. Innovation in how we load data from disk and how we implement lookups
  2. Requires no fixed data model
  3. No requirement to know your query workload up-front
  4. Consistent and predictable performance
  5. Designed for real-world query workloads of visual analytics
  6. Seamless integration with the corporate warehouse

Discover insights at the speed of thought.

Connect to your data and perform queries without writing a single line of code. Stay in the flow as you shift between views with drag-and-drop technology. Whether you measure your data in petabytes stored in the cloud or in billions of rows, Tableau is built to work as fast as you do. It’s self-service analytics, for everyone. Download a free trial and get more results with less effort.

Get to your data, live or in-memory,
in seconds.

Connect directly to your data for live, up-to-date data analysis that taps into the power of your data warehouse. Or extract data into Tableau’s blazing fast data engine and take advantage of breakthrough in-memory architecture. Or do both, for 2, 3, or even 10 different data sources and blend them all together. It’s up to you and your data. See our list of native data connectors.

Share your insights with beautiful dashboards.

Drive decisions using data. Combine multiple views into interactive dashboards. Highlight and filter data to show relationships. String together specific insights into a guided story to explain the ‘why’ behind your data. Share content using the web-based Tableau Server or Tableau Online. Build a data-driven culture. Download a free trial to start now.

Features that are intuitive and powerful.

Visual analysis in a click

Powerful analytical tools—at your fingertips. Filter data dynamically, split trends across different categories or run an in-depth cohort analysis. Double-click geographic fields to put data on an interactive map. All without writing a single line of code.

Deep statistics

Go deeper into your data with new calculations on existing data. Drag reference lines and forecasts, build box plots and see statistical summaries of your data. Experiment with trend analyses, regressions, correlations, and much more. PhD not required.

Metadata management

Make better sense of your available data—quickly and easily. Rename fields and modify number formats. Split your data into multiple fields or combine fields into groups. Create subsets of your data by simply selecting groups of points. Use those sets to filter other views. Now it’s easy for you to make your data understandable to everyone.

Best practices built in

You get the benefit of years of research on the best ways to represent data, built right into your workflow. Optimized color schemes, automatic chart types and elegant design. Communicate insight in the most effective way, automatically.

Data engine

When you want to take data offline or bring it in-memory, Tableau’s Data Engine lets you extract data for ad hoc analysis of massive data in seconds. It combines advances in database and computer graphics technology to make even huge datasets possible to analyze on a laptop or mobile device.


Beautiful, interactive maps are key to understanding place. Double-click geographic fields to put data on a map. Pan, zoom, filter or search to focus on your insights. And with detailed map data worldwide, you can answer questions whether you are working with Australian postcodes or Brazilian municipalities.

What our customers have to say.


“We made the conscious choice of starting with Tableau at the staff level on down. So everybody from new-hire MBAs to people who come out of undergrad have Tableau.”

Tesla Motors

“Tableau is really helping us grow and get value right now. For production, it's helping hour by hour, minute to minute.”

Cornell University

“Tableau is the best thing that ever happened to us. We've spent 90 percent of our time on the data and 10 percent on the tool. We had a significant ROI.”


“We send data and insight out via dashboards so our senior executives and frontline see the same data. It¹s getting people really excited about what data can do for them.”

Price $1,999 per user
Try it Free
$999 per user
Try it Free
Data Connections
  • Tableau Server Data Sources
  • Actian Vectorwise 2.0 or later (Windows only)
  • Amazon Redshift
  • Amazon Elastic MapReduce
  • Cloudera Hadoop Hive and Impala; Hive CDH3u1, which includes Hive .71, or later; Impala 1.0 or later (incl. Kerberos support for Impala)
  • DataStax Enterprise Edition 2.2 or later (Windows only)
  • EXASOL 4.2 or later (Windows only)
  • Firebird 2.1.4 or later
  • Google Analytics
  • Google BigQuery
  • Google Cloud SQL
  • Hortonworks Hadoop Hive 1.1 or later
  • HP Vertica 6.x or later
  • IBM BigInsights (Windows only)
  • IBM DB2 9.1 or later for Linux, UNIX, or Windows (available on Tableau Desktop/Server on Windows only)
  • IBM Netezza 4.6 or later (Windows only)
  • MarkLogic (Windows only)
  • MapR Distribution for Apache Hadoop 2.x or later (Windows only)
  • Microsoft Access 2003 or later (Windows only)
  • Microsoft Excel 2007 or later
  • Microsoft PowerPivot 2008 or later (Windows only)
  • Microsoft SQL Server 2005 or later (incl. support for Kerberos)
  • Microsoft SQL Server Analysis Services 2005 or later, multi-dimensional mode only (Windows only)(incl. support for Kerberos)
  • Microsoft SQL Server PDW V2 or later
  • Microsoft Azure Marketplace DataMarket
  • Microsoft Azure SQL Data Warehouse
  • MySQL 5.0 or later
  • OData
  • Oracle Database 10.x or later
  • Oracle Hyperion Essbase 11.1.1 or later (Windows only)
  • ParAccel Analytics Database 3 or later (Windows only)
  • Pivotal Greenplum 4.x or later
  • PostgreSQL 8.3 or later
  • Progress OpenEdge 10.2B patch 4 or later (Windows only)
  •, including and
  • SAP HANA 1.0035 or later (Windows only)
  • SAP NetWeaver Business Warehouse 7.00 with SP20+ recommended; also requires SAP GUI for Windows 7.20 or later client (Windows only)
  • SAP Sybase ASE 15.5 or later (Windows only)
  • SAP Sybase IQ 15 or later (Windows only)
  • Spark SQL requires Apache Spark 1.2.1 or later
  • Splunk Enterprise 6 or later (Windows only)
  • Statistical Files; SAS (*.sas7bdat), SPSS (*.sav), and R (*.rdata, *.rda)
  • Tableau Data Extract
  • Teradata V2 R6.2 or later
  • Teradata Aster Data nCluster 5.0 or later
  • Teradata OLAP Connector 14.10 or later (Windows only)
  • Text files -- comma separated value (.csv) files
  • Additional databases and applications that are ODBC 3.0 compliant

32-bit versions of Tableau require 32-bit data source drivers

64-bit versions of Tableau bit requirements for data source drivers are as follows:

64-bit Required

  • SAP BW
  • Teradata BIO
  • PowerPivot
  • Google BigQuery
  • Oracle
  • Oracle Essbase
  • Microsoft SSAS
  • Firebird

64-bit Optional

  • Access
  • Excel
  • Text files
  • PostgreSQL
  • Microsoft Access 2003 or later (Windows only)
  • Microsoft Excel 2007 or later
  • Microsoft Windows Azure Marketplace DataMarket
  • OData
  • Tableau Data Extract
  • Text files -- comma separated value (.csv) files
File Sharing Create package files for Tableau Reader

Publish to Tableau Server or Tableau Online for web and mobile access
Create package files for Tableau Reader
System Requirements
  • Microsoft Windows Vista SP2 or newer (32-bit and 64-bit)
  • Microsoft Server 2008 R2 or newer (32-bit and 64-bit)
  • Intel Pentium 4 or AMD Opteron processor or newer (SSE2 or newer required)
  • 2 GB memory
  • 750 megabytes minimum free disk space
  • Internet Explorer 8 or newer
  • iMac/MacBook computers 2009 or newer
  • OS X 10.9 or newer
Virtual Environments
  • Citrix environments, Microsoft Hyper-V, Parallels, VMware, Microsoft Azure and Amazon EC2.
  • All of Tableau’s products operate in virtualized environments when they are configured with the proper underlying Windows operating system and minimum hardware requirements.
Internationalization These products are Unicode-enabled and compatible with data stored in any language. The user interface and supporting documentation are in English, French, German, Spanish, Brazilian Portuguese, Japanese, Korean and Simplified Chinese.

Visualize data like never before.

From hurricanes to hospitals and high-tech to human resources, you can use Tableau to analyze any data. Yes, any data. This is analytics for real-life business data.