Tableau five years a leader in Gartner’s Magic Quadrant for Analytics

We’re proud to see that Tableau is a leader in the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms for the fifth consecutive year.We believe Tableau is the gold standard for intuitive interactive visual analytics and an established enterprise platform.

We wouldn’t be here without our customers’ input, support, and continuing encouragement to solve more of your data challenges. You are the inspiration for our work. Thank you.

Our leadership in the industry is a signal of the progressive changes that organizations around the world are pursuing with modern analytics platforms like Tableau. The difference is clear: Our analytics platform is a transformational product that changes organizations by providing self-service analytics at scale.



Companies like ExxonMobil and PepsiCo are seeing massive time savings with Tableau. Others like Skyscanner are using Tableau to leverage huge volumes of data in the cloud. In fact, over 54,000 customers have adopted Tableau to answer more questions of their data. And we’re now seeing our customers go even bigger with Tableau by enabling more people to see and understand their data, which we believe is reflected in this year’s Magic Quadrant.

Download the full Gartner report here.

Helping people see and understand their data is our only mission

For us, helping people see and understand their data has been our only mission all along. It’s what we do every single day. We work to empower people who know the data to ask their own questions of the data.

When we first started, we set out to revolutionize the way that people think about analytics. We had a lofty vision: that everyone, not just specialists, should be able to see and understand data, that analytics should be visual and intuitive. We disrupted the market when we introduced VizQL, our first innovation, and we redefined the way people interact with their data.

Fast-forward to today, and we are once again leading innovation, this time transforming the way entire organizations see and understand their data. Survey customers rated our analytics platform “one of” (39%) or “the” (49%) enterprise standard, according to Gartner. And 41% of our reference customers reported deployments with more than 1,000 users. There is a reason Gartner says, “Tableau continues to be perceived as the modern BI market leader.”

Our continued leadership is a testament to the success our customers have had using Tableau. Companies like Honeywell, Deloitte, and JPMorgan Chase are using our modern analytics platform to empower people across the organization and drive business impact.

It’s customer stories like these that keep us energized and inspired. We continue to devote the largest industry percentage to R&D because we’re even more excited about what’s next. For us, analytics isn’t just a market; helping people see and understand their data is our mission. Every single dollar of R&D goes toward this mission, and we’re just getting started.

Here are five ways we are innovating our modern analytics platform to be even faster, easier, and more intuitive to broaden the use of data and analytics in organizations.

1. Built-in data governance that balances empowerment with control

Having a self-service environment where everyone can surface data is a great thing—as long as you can determine when to use what, and which data sources are trustworthy for the task at hand.

That’s why we’ll introduce certified content to help both IT and business users. It allows IT to define governed data sources including defining the proper joins, security rules, and performance optimizations as well as create the standard calculations the rest of the organization relies on. And business users can select a certified data source and be sure the data is accurate and trustworthy.

We are also enhancing our products to support agile data modeling so you can understand how your centralized data models are used by your users. You’ll be able to perform visual impact analysis to help you understand the impact of any changes you might make to the data source.

2. A Hyper-speed data engine to enable faster analysis on larger data volumes

To help address growing data needs, we are building a new in-memory data engine with Hyper, the fast database technology we acquired last year.

Hyper enables fast analysis on billions of records and near-real-time data updates. It’s designed to simultaneously process transactional and analytical queries without compromising performance. This means you’ll be able to scale to perform sophisticated analysis on large data with incredible performance.

Hyper will also enhance Tableau’s hybrid data model. You’ll still be able to connect live to over 60 different sources that Tableau supports. This means you can leverage the capabilities of databases like Amazon Redshift, Google BigQuery, Snowflake, and Microsoft SQL Server, or choose to bring some or all of your data into Tableau with Hyper.

3. Self-service data prep that lets you quickly transform data for analysis

We know that getting data ready for analysis is a time-consuming and difficult process. That’s why we’re working on Project Maestro. This new product will make it possible for more people, from IT to business users, to easily prep their data with a direct and visual approach. You will instantly see the impact of the joins, unions, and calculations you’ve made, ensuring that you have exactly what you need before jumping into analysis.


Project Maestro will also integrate with the rest of the Tableau platform, letting you centrally govern your data, automate data refreshes, and analyze it in Tableau Desktop, Tableau Server, and Tableau Online.

4. Advanced analytics for everyone

Visual analytics continues to be a central pillar of our R&D efforts as it puts the power of data into the hands of more people. This area is far from being commoditized and there are many innovations that we’re working on to help you think with your data.

We’re adding rich features like visualizations in tooltips, drill-down improvements, new chart types including step lines, and the ability to add images to headers, labels, and tooltips. We are giving users more flexibility with legends per measure and nested sorting.

We’re also investing in sophisticated geospatial analysis to help you answer more questions from geographic data. In Tableau 10.2, we are adding spatial file support, and that’s just the beginning. We will also add spatial operations like filters and calculations so you can ask questions like how many customers live within a mile of your store. And with layers, you’ll be able to map different data sets on a single view with just a few clicks.Our advanced analytics features will help you get to the root of your question, no matter how complex it is. We want to bring the power of data science to more users without requiring any programming. You can already perform clustering, forecasting, and trending with a simple drag and drop. You’ll see more algorithms such as outlier detection and sentiment analysis coming in the future.

We also want to enable data scientists to bring rich models directly into Tableau. You can now embed R and Python models in Tableau for interactive analysis. In the future, you will be able take advantage of cloud-based machine-learning platforms to bring even more scalable algorithms for interactive analysis.

Tableau has made it easier and easier to answer richer and richer questions. But what if we could look at what you’re doing and be one step ahead of you, answering new questions for you automatically, helping you interpret what you’re seeing, or suggesting next steps? We’re adding powerful machine-learning algorithms directly within Tableau to recommend the appropriate views, fields, tables, and joins to help you answer questions more quickly.

And soon, we will enable new conversations with data through smart analytics. With natural language processing, you will be able to interact with your data in more natural ways through voice or text.

Tableau integration with natural language processingWe’re also adding machine learning directly to Tableau to make it easier to find the data and views to answer key questions. This will provide recommendations so you can perform better analysis faster.

5. Flexible hybrid deployments

Deploying Tableau needs to be simple and flexible. This flexibility includes allowing you to deploy and connect to your data wherever it lives—in the cloud, on-premises, or both. That’s why we’re expanding the deployment options that you have for Tableau. We’re adding an enterprise-grade version of Tableau Server on Linux. For many organizations, Linux means lower costs, more customization, and a more secure way to run Tableau Server.

You can now deploy Tableau Server on public cloud platforms including AWS, Azure, and Google Cloud. And of course, you can deploy Tableau on-premises in VM and physical environments. No matter where you are on your journey or which platforms you choose, we will be there to support you.

You can also let Tableau run the infrastructure for you with Tableau Online, our managed SaaS offering. We’re adding full cloud authoring in Tableau Online, data-driven alerting, self-service schedules, collaborative discussions, and many more capabilities enabling a complete cloud-based analytics solution.

When discussing hybrid deployments, we also need to talk about data. Tableau supports hybrid data connectivity which means that you can query data live without first requiring data movement or you can move some or all of the data within our fast in-memory engine. This approach is supported across all deployment environments.

However, when deploying in the cloud, connecting to data on-premises can be a challenge. You don’t always want to replicate the data in the cloud to use it. Soon, you will be able to analyze data behind the firewall in Tableau Online using the new live-query agent that acts as a secure tunnel to on-premises data.

We are also adding prebuilt dashboards for popular web applications like Salesforce and Marketo. Imagine being able to explore your data in seconds by using one our prebuilt dashboards to populate directly to your Salesforce environment. This will make it easier and faster to help you see and understand your data.

Join us on this journey

These innovations are just a small sample of what we’re working on; there’s much more on the horizon. And we invite you to come along on this journey. You are at the core of everything we do here at Tableau. Your needs dictate our work. We listen to your feedback, and with each new release, we build features based on our conversations with you. Please join our pre-release program to test-drive these features when they become available and let us know how they solve your problems. You can also contribute new ideas and join the conversation on our Ideas Forum.

Data rockstars, join our conversation on social media. Tag a #DataLeader—it can be anyone!—and tell us why. And we’ll send the data leader a fun avatar as a token of recognition. Share on your platform of choice: Twitter, LinkedIn, or Facebook.

The above graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Tableau. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.


Hans Rosling, Swedish Doctor and Pop-Star Statistician, Dies at 68


Hans Rosling, a Swedish doctor who transformed himself into a pop-star statistician by converting dry numbers into dynamic graphics that challenged preconceptions about global health and gloomy prospects for population growth, died on Tuesday in Uppsala, Sweden. He was 68.

The cause was pancreatic cancer, according to Gapminder, a foundation he established to generate and disseminate demystified data using images.

Even before “post-truth” entered the lexicon, Dr. Rosling was echoing former Senator Daniel Patrick Moynihan’s maxim that everyone is entitled to his own opinions but not to his own facts.

“He challenged the whole world’s view of development with his amazing teaching skills,” Isabella Lovin, Sweden’s deputy prime minister, said in a statement.

A self-described “edutainer,” Dr. Rosling captivated vast audiences in TED Talks — beginning a decade ago in front of live audiences and later viewed online by millions — and on television documentaries like the BBC’s “The Joy of Stats” in 2010.

Inviting animated visualizations and prosaic props (like apples and colorful Lego plastic blocks) defined him as a funky philosopher rather than a geeky professor.

“I produce a road map for the modern world,” he told The Economist in 2010. “Where people want to drive is up to them. But I have the idea that if they have a proper road map and know what the global realities are, they’ll make better decisions.”

In Dr. Rosling’s version of those realities, the traditional divide between third-world and industrialized nations had become anachronistic, since so many countries were undergoing development, with some in Asia improving faster than some in Europe. He considered that five billion people continued to head toward healthier lives while one billion remained mired in poverty and disease; that progress toward health and wealth had contributed to climate change; and that the world was so poorly governed that possibilities to improve it abounded.

“I’m not an optimist,” Dr. Rosling once said. “I’m a very serious possibilist.”

He predicted that the United Nations’ goal of eradicating extreme poverty by 2030 was attainable because the tools to do so had been identified and the share of people living in that condition had already declined by more than half in 25 years.

He also argued vigorously that overpopulation would no longer be problematic as the world grew wealthier and fertility rates declined.

“There are so many who think that death keeps control of population growth,” he said in an interview with The Guardian in 2013. “That’s just wrong!”

He told The Economist: “The only way to reach sustainable population levels is to improve public health. Child survival is the new green.”

As a medical doctor, epidemiologist and academic, but with the flair of a seasoned performer (he once demonstrated his expertise as a sword swallower), he delivered counterintuitive factoids, accused advocates of tweaking statistics to advance their own causes, and debunked misapprehensions about the third world — although not every expert concurred.

He pointed out that Sweden had more children per woman than Iran, that Shanghai was just as wealthy and healthy as the Netherlands, and that the world’s average life expectancy of 71 years was now closer to the highest (84 in Japan) than to the lowest (49 in Swaziland).

“They just make it about us and them; the West and the rest,” Dr. Rosling told the journal Nature in December. “How could anyone hope to solve problems if they didn’t understand the different challenges faced, for example, by Congolese subsistence farmers far from paved roads and Brazilian street vendors in urban favelas?”

Hans Gosta Rosling was born in Uppsala on July 27, 1948. His father was a coffee roaster.

He studied statistics and medicine at Uppsala University and public health at St. John’s Medical College in Bangalore, India, where he received his medical degree in 1976.

In 1979, he and his wife, the former Agneta Thordeman, whom he met while she was studying to be a nurse, moved to Mozambique with their two young children.

He was delivering on a pledge he had made years earlier to Eduardo Mondlane, the founder of the Mozambican Liberation Front, to help provide health services when the country became independent. Mr. Mondlane was killed in 1969, six years before independence was granted by Portugal.

Dr. Rosling served as district medical officer in a northern province. He was the sole doctor for a population of 300,000.

His investigation of a paralytic disease called konzo in the Democratic Republic of Congo, which was determined to be caused by ingesting naturally occurring cyanide in cassava roots, earned him a doctorate from Uppsala University.

In addition to his wife, a pediatrician and researcher, he is survived by two sons, Ola and Magnus; a daughter, Anna; and a brother, Mats.

With his son Ola and his daughter-in-law, Anna Rosling Ronnlund, Dr. Rosling established Gapminder in 2006 while he was a professor of global health at the Karolinska Institute, the medical university outside Stockholm. The foundation aims to chart trends and fight what it calls “devastating ignorance with fact-based worldviews everyone can understand.”

It derived its name from the London Underground’s recorded warnings to passengers to “mind the gap” between a subway car and the platform. Gapminder’s data images are designed to evoke the divide between statistics and the misleading ways in which they are sometimes interpreted.

“It’s like the emperor’s new clothes, and I’m the little child saying: ‘He’s nude! He’s nude!’” Dr. Rosling told The Guardian.

Brandishing his bubble chart graphics during TED (Technology, Entertainment and Design) Talks, Dr. Rosling often capsulized the macroeconomics of energy and the environment in a favorite anecdote about the day a washing machine was delivered to his family’s cold-water flat.

“My mother explained the magic with this machine the very, very first day,” he recalled. “She said: ‘Now Hans, we have loaded the laundry. The machine will make the work. And now we can go to the library.’ Because this is the magic: You load the laundry, and what do you get out of the machine? You get books out of the machines, children’s books. And Mother got time to read to me.”

“Thank you, industrialization,” Dr. Rosling said. “Thank you, steel mill. And thank you, chemical processing industry that gave us time to read books.”

Source: NY Times