Tableau Software Inc   (DATA)
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Tableau Software Inc Segments


Business Segments II. Quarter
(in millions $)
(Jun 30 2019)
(of total Revenues)
II. Quarter
(in millions $)
(Jun 30 2019)
(Profit Margin)
322.10 100 % -35.52 -

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Growth rates by Segment II. Quarter
Y/Y Revenue
(Jun 30 2019)
Q/Q Revenue
II. Quarter
Y/Y Income
(Jun 30 2019)
Q/Q Income
30.83 % 14.04 % - -

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  Tableau Software Inc 's

Business Segments Description

Our products help people see and understand data. They offer the power and flexibility required to serve a broad range of use cases, from answering questions with small spreadsheets to completing enterprise business intelligence projects involving massive volumes of data. We currently offer four key products: Tableau Desktop, a self-service, powerful analytics product for anyone with data; Tableau Server, a business intelligence platform for organizations; Tableau Online, a hosted software-as-a-service ("SaaS") version of Tableau Server; and Tableau Public, a free cloud-based platform for analyzing and sharing public data.

Tableau Desktop
Tableau Desktop helps knowledge workers make sense of the many kinds of data they encounter every day. The defining capability of Tableau Desktop is the interactive experience it provides for exploring and analyzing data. By fundamentally integrating data analysis and visualization, our products provide a visual window into data trapped in spreadsheets and databases, fostering greater engagement with data and allowing people to better answer questions, develop insights and solve problems. The result is a self-service analytics environment that empowers people to access and analyze data independently and at a rapid pace. Tableau Desktop's key capabilities include:

Visual analytics—Tableau Desktop empowers people to ask sophisticated questions by composing drag-and-drop pictures of their data. Tableau Desktop's easy-to-use interface is built on VizQL, which is capable of describing thousands of easily understood visual presentations of data including tables, maps, time series, dashboards and tables of graphs. The combination of a sophisticated language with a simple user interface means users can explore many different perspectives of their data. We believe being able to quickly view data from different perspectives inspires creative thinking and helps people find the right view to answer a question.

Analytical depth—An important aspect of Tableau Desktop is its ability to marry powerful visualization with deep analytics. Users can filter and sort their data, create sophisticated calculations, drill into underlying information, define sets and cohorts, perform statistical analysis and derive correlations between diverse data sets with agility and relative ease. For example, with a few clicks, users can generate sophisticated forecasting models. This combination of simplicity and usefulness, ease of use and analytical depth is what makes it possible for Tableau Desktop to empower a whole new group of people to become data analysts.

Data access—Tableau Desktop lets people access and query a large number of common data sources, from database systems such as Amazon Redshift, Google BigQuery, Hadoop, Microsoft Azure Database, NoSQL, Oracle, Snowflake and SQL Server, to Web applications like Google Analytics and Salesforce, to spreadsheets and files. Users can connect to more than 65 data connectors with a few clicks, without any scripting or programming.

Live query—Tableau Desktop translates users' interactions into live queries. As people use the drag-and-drop interface to examine information, they are automatically generating sophisticated queries against their database. Tableau Desktop can generate queries in a range of query languages including Structured Query Language ("SQL"), Multidimensional Expressions ("MDX") and Salesforce Object Query Language ("SOQL"). Each query is optimized for the target platform and its unique performance and analytical characteristics. This live query approach allows customers to leverage their investments in database infrastructure and enables them to take advantage of query-optimized databases.

In-memory query—Tableau Desktop contains Hyper, an in-memory data engine technology that can be used for rapid analysis. By extracting data to Hyper, customers can analyze large or complex data sets faster. A core Tableau platform technology, Hyper uses proprietary dynamic code generation and parallelism techniques to achieve fast performance for extract creation and query execution.

Data integration—Many questions require combining data from multiple sources. Tableau Desktop provides a number of ways for people to combine data without requiring a typical data loading and transformation project. A Tableau workbook can connect to many different data sources, with each source independently leveraging either a live query or in-memory approach. Users can then combine the data in a single dashboard, visualization, filter or calculation using our data blending functionality. This approach can greatly extend the scope and depth of questions a person can answer.

Sharing and presentation—Tableau Desktop allows users to author and distribute visualizations and dashboards with the ease expected of everyday office tools like spreadsheets. Content created in Tableau Desktop can be embedded in documents and presentations, or the workbooks can be distributed for viewing by people who have Tableau Desktop or Tableau Reader, a free product to view and interact with visualizations built in Tableau Desktop. Alternately, users can publish their workbooks to Tableau Server or Tableau Online enabling others in the organization to access them using a Web browser or a mobile device.

Tableau Server
Tableau Server is a powerful business intelligence platform with enterprise-class data governance and scalability. The collaborative features of Tableau Server are designed to foster more sharing of analytics to improve the dissemination of information across an organization and promote improved decision-making. Tableau Server's key capabilities include:

Shared content—Tableau Server provides an easy-to-navigate repository of shared visualizations and dashboards within an organization. Any user with appropriate credentials can view, interact, create data-driven alerts, edit and author new visualizations from published data using a Web browser. Users can also view and interact with published visualizations using a mobile device or tablet. The ability to publish dashboards and easily share impactful visual analysis increases awareness of business data and promotes improved decision-making. In addition, allowing others to interact with an analysis gives them deeper understanding of the information, which leads to an improved grasp on the problem and hence greater confidence in the solution.

Shared data—Organizations can use Tableau Server to centrally manage enterprise data sources and metadata enabling knowledge sharing, efficiency, governance and data consistency. Business users or IT professionals can create rich data models, containing calculations, hierarchies, field aliases, sets and groups of interest, and publish them to Tableau Server to be shared across an organization. Others can use these models as a starting point for analysis while extending them to meet their own specific analytical needs. While centralized data models are not a pre-requisite for analysis in Tableau, they provide flexibility and increased productivity while maintaining control and security of data.

Universal access—We have designed Tableau Server to enable seamless sharing of content across desktop, mobile and Web clients. Once users author and publish analytical content to the server, people across an organization can consume it on different browsers and devices. Further, Tableau Server automatically detects the device being used and adapts the content to take advantage of the device's capabilities including native touch experience and form factor. Tableau Server allows users to actively subscribe to content for automatic delivery on their devices or pull content on demand.

Integration and Embedded Analytics—Tableau Server offers APIs that help developers, customers and partners embed and control our software from portals, websites and other enterprise applications. Our APIs can also be used to construct in-memory databases, upload content and add users to the server programmatically. In addition to APIs, we also offer command line utilities to automate management tasks, and data upload tools to move data rapidly into Tableau Server.

Scalability—Tableau Server's distributed multi-tier architecture allows it to scale to tens of thousands of users, across desktop, Web and mobile clients, meeting the needs of some of the largest organizations globally.

Security—Tableau Server provides a security model that encompasses authentication, data and network security. Tableau Server is also built on a multi-tenant architecture that allows administrators to logically partition a single system across user populations, providing for separation of content.

Administration—We believe the ease of administering a system is tremendously important to its adoption. While Tableau Server's management interface is designed to be simple enough for a line-of-business user, we also provide APIs to allow administrators to automate routine management processes.

Tableau Online
Tableau Online, a hosted SaaS version of Tableau Server, is built on the Tableau Server platform and provides ease of use, speed and availability without requiring customers to manage physical infrastructure. Tableau Online is a fully-hosted solution that can be accessed by clients remotely using Tableau Desktop, a browser or a mobile device. In addition to offering the same capabilities as Tableau Server, Tableau Online's key capabilities include:

Hybrid data connectivity—Tableau Online supports both live connectivity and in-memory extracts of cloud databases including Amazon Redshift, Google BigQuery and Microsoft SQL Azure. Users can access real-time data from cloud data sources without requiring data snapshots.

On-premises data sync—Tableau Online provides easy syncing of on-premises data such as Microsoft Excel and Oracle to the cloud through the Tableau Bridge feature. This enables customers to keep their data up-to-date.

Always up-to-date—Tableau Online includes the latest maintenance releases and versions of Tableau Server. Customers do not need to worry about upgrading their infrastructure or deploying the latest patches.

Reliable and scalable—Tableau Online is a SaaS analytics application built on the same enterprise-class architecture of Tableau Server.

Tableau Public
Tableau Public is a free cloud-based offering that is available for anyone to use with public data. This offering allows users of diverse backgrounds, from bloggers and journalists to researchers to government workers, to easily visualize public data on their websites. People who visit these websites can interact with the visualizations and share them via social media.
Using Tableau Public, data can be transformed into interactive graphs, dashboards and maps for the world to see on the Web. For example, a blogger focused on economic issues may want to blog about changes in the U.S. unemployment rate. Using Tableau Public, the blogger can quickly build an interactive visualization using data from the U.S. Bureau of Labor Statistics and embed it in their blog. Every time the blog is viewed, Tableau Public serves up the data as a dynamic visualization.
Tableau Public enables us to test new product features and engage in user research as well as generate greater awareness of Tableau and increase community engagement. In addition to offering most of the features of Tableau Desktop and Tableau Server, Tableau Public offers the following capabilities:

Web scale—Tableau Public meets the massive performance requirements of serving dynamic content on top tier websites including media channels, social media and other consumer internet services. Through a combination of proprietary software and optimized hardware, we have designed a highly scalable, multi-tenant, online infrastructure. Our Tableau Public service has reached over 1 billion cumulative views worldwide.

Social reach—Anyone viewing or interacting with a Tableau Public visualization can share it on Facebook or Twitter. The ease of social sharing has facilitated greater conversations around data on Tableau Public.

Embedding—Tableau Public views can be embedded in Web pages and blogs. Authors can enrich their websites and engage their audience with interactive visualizations based on Tableau Public.

Users—Tableau Public has been used by hundreds of thousands of people to make public data easy to see and understand. People have used the product to visualize and share data about government budgets, school performance, economic policy, sports statistics and box office trends. Visualizations from Tableau Public have appeared in many news organizations' publications such as BBC News and CNBC, as well as publications from bloggers and researchers.

Visual Query Language (VizQL) for Databases
At the heart of Tableau's products is our proprietary and breakthrough technology called VizQL. VizQL is a visual query language for data that simultaneously describes how to query data and how to present it visually. VizQL can deliver dramatic gains in people's ability to see and understand data. We believe VizQL is unique in several important aspects:

Extensibility and flexibility—VizQL is a computer language for describing pictures of data, including graphs, charts, maps, time series and tables of visualizations. VizQL unifies these different visual representations into a single framework. Conventional component architectures that underlie reporting packages and charting wizards contain a fixed number of computer procedures, one for each type of picture. VizQL, in contrast, is a language for creating pictures. Each type of picture is a different statement in the language. The extensibility and flexibility of VizQL makes it possible to create a virtually unlimited number of visualizations.

Transforms database records to graphical representations—VizQL statements define the mapping from records returned from a database to graphical marks on a screen. Some fields in the record control the geometric properties of the mark, including position, size and orientation while other fields control visual attributes like color, transparency and shape.

Declarative language—VizQL is a declarative language like other database languages, including SQL. The advantage of a declarative language is that the user describes what picture should be created, not how to make it. The user does not need to be aware of underlying implementation as query, analysis and rendering operations run behind the scenes. The result is a portable and more scalable system.

Defines and controls queries—VizQL procedures define both the resulting picture and the database query. Our Live Query Engine generates efficient queries for external databases of many types from many vendors. VizQL also controls execution of our optimized in-memory data engine technology to perform calculations in real time.

Optimized—VizQL's interpreter is optimized for interactive use, enabling visualization and drawing of large data sets. VizQL is specifically designed to take advantage of modern computer graphics hardware, such as the fast rendering chips developed for gaming that are standard on personal computers.

The initial development of VizQL began at Stanford University in 1999. Stanford University has granted us an exclusive license to commercialize the software and related patents resulting from that research. The software and related patents generally relate to three subject areas: (1) architecture for creating table-based visualizations from relational databases; (2) graphical user interface for creating specification for table-based visualizations; and (3) an environment for rapid development of interactive visualizations. Our license from Stanford University is exclusive in all fields, worldwide and sublicensable. The license agreement provides for Tableau to own all improvements to and derivative works of the software that it develops. The license agreement also provides for enforcement of the licensed patents against alleged infringers. If Stanford University and Tableau agree to jointly enforce the licensed patents against an alleged infringer, the parties equally share the costs and the recovery or settlement for such enforcement. If Stanford University and Tableau do not agree to jointly enforce the licensed patents against an alleged infringer, Stanford University and Tableau will each have the right to enforce the licensed patents against the alleged infringer. If Tableau files such a suit in a United States court, Stanford University joins such suit only for standing purposes, and Tableau wins an award of damages for, or receives a settlement payment for, infringement of a United States licensed patent, Tableau would retain that award or settlement payment and would be required to negotiate in good faith with Stanford University to compensate it for its expenses in connection with the suit. If Stanford University files such a suit in a United States court, Tableau joins such suit only for standing purposes, and Stanford University wins an award of damages for, or receives a settlement payment for, infringement of a United States licensed patent, Stanford University would retain that award or settlement payment. The license agreement does not expire and can be terminated by Stanford University only if Tableau breaches the agreement and does not remedy the breach within 30 days after receiving written notice of the alleged breach from Stanford University. We have invested substantial research and development in VizQL since obtaining these rights. We have also been granted additional patents related to our core VizQL technology.

Live Query Engine
We have developed a Live Query Engine that interprets abstract queries generated by VizQL into syntax understandable by popular database systems. For instance, our Live Query Engine can compile VizQL statements into optimized SQL and MDX syntax understandable by database systems made by Dell EMC, IBM, Microsoft Corporation, Oracle Corporation, SAP SE, Teradata Corporation and many other database vendors. As a result, our technology provides customers with a way to increase the accessibility, usability and performance of their databases. It also gives them a uniform user interface for interacting with databases of diverse vendors, formats and sizes.

It is common for traditional business intelligence products to import data from the organization's database systems. In contrast, Tableau's Live Query Engine enables people to query databases without having to first import the data into our products. Queries generated by our Live Query Engine are interpreted and run by the database, with only the results of each query rendered. This approach offers many advantages for customers:

Data consistency—Copying data can cause people to work with out-of-date information. Further, each copy of the data may represent information at different times leading to inconsistency. With our Live Query Engine, customers do not need to create additional copies of their data.

Avoids data movement—Moving and loading data is often time consuming and expensive. With Live Query Engine, our customers do not need to move data in order to use our products.

Scalability—Many database vendors provide massively parallel implementations of databases that provide scalable data access to large data sets. These systems can scale in various ways including scaling the number of tables in the database, the number of records in each table, the number of columns in each record, the number of users and the number of active queries. These systems also provide powerful computation capabilities for very large data volumes. Our Live Query Engine allows businesses to leverage their investment in scalable data infrastructure.

Security—Transferring data out of a database causes customers to lose the security and permissions models associated with that data. Using our Live Query Engine, customers can leverage the security and permissions models specified in their database systems.

Flexibility—The database industry consists of multiple vendors with competitively differentiated products. Our Live Query Engine enables our customers to choose the appropriate technology for their business.
We focus on ensuring our software is compatible with popular database platforms and that our live query technology works with the most recent releases of those platforms. Our Live Query Engine is compatible with more than 65 data connectors, including those from the top five database vendors in the world.
We believe the size of the data that our customers analyze continues to grow. We will continue to develop our live query technology with the goal of empowering our users to have complete access to any data stored anywhere.

Hyper is a high-performance in-memory data engine technology that helps customers analyze large or complex data sets by efficiently evaluating analytical queries directly in the transactional database. A core Tableau platform technology, Hyper uses proprietary dynamic code generation and cutting-edge parallelism techniques to achieve fast performance for extract creation and query execution. Hyper provides users with the following benefits:

Column-based storage—Transactions and analytical queries are processed on the same column store, with no post-processing needed after data ingestion. This reduces stale data and minimizes the connection gap between specialized systems. Hyper's unique approach allows a true combination of read-and write-heavy workloads in a single system, providing fast extract creation without sacrificing fast query performance.

Dynamic code generation—Hyper uses a just-in-time compilation execution model. Hyper optimizes and compiles queries into custom machine code to make better use of the underlying hardware. The end result is better utilization of modern hardware for faster query execution.

Morsel-driven parallelization—Hyper includes a parallelization model that is based on very small units of work ("morsels"). These morsels are assigned efficiently across all available cores, allowing Hyper to more efficiently account for differences in core speed. This translates into more efficient hardware utilization and faster performance.
By importing data into Hyper, our customers can get many of the benefits of a fast database without the complication, cost and delay of a new investment in databases systems. Hyper is designed to be used on commodity hardware common in enterprise organizations today.

Hybrid Data Architecture
We have designed our Live Query technology and in-memory data engine technology to work in harmony. This hybrid approach gives customers flexibility and power. For instance, customers can use our in-memory data engine to import a sample of data from a large database, and then after designing an initial visualization that answers a question, run the visualization against the entire database using the live query option. As another example of the hybrid approach, customers can integrate live data with in-memory data in a single visualization or dashboard. Both of these examples can be achieved by business users without any programming or scripting.


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