10 Best Big Data Visualization Tools

The amount of information people face in their everyday life and the volume of data they need to process at work have recently soared. By 2025, the data volume is predicted to reach staggering 163 ZB — ten times what people generate now. When information processing becomes an overreach for the human brain, tools that convert chaotic and patternless data into valuable insights come to the rescue. These tools are Big Data visualization software.

Based on our domain expertise and the investigation of vendor websites and user reviews, we have created the list of top Big Data visualization examples. Although countless companies use the tools that we describe in this article, we cannot guarantee that a solution listed here will be an exact and perfect fit for your business.

1.  Carto

Carto, formerly CartoDB, focuses on the processing of location-related data that manages millions of results and presents it in a structured and vivid manner. This web-based tool is capable of both comprehensive data analysis and the prediction of likely events.

The tool’s extensive databases — empowered by its Data Observatory — help in enhancing corporate data. Built-in widgets enable easy and intuitive use and reduce the time required for personnel training, while robust drag-and-drop capabilities improve and facilitate the entire analytical procedure. After the application has prepared the results, it provides the most relevant visualization techniques that depict patterns and trends. An individually tailored styling only improves information perception.

The solution allows easy result sharing across the team, which does not demand data viewers to edit or manage entry data; they can just enjoy insightful results. A powerful SaaS version allows companies to adopt cutting-edge technologies for data visualization while scaling the solution along with business development. The mobile version of the tool provides access to essential data on the go. Also, the application’s users point out that the vendor provides comprehensive training materials and responsive customer service.

Carto’s full-fledged capabilities are costly: the annual price starts at $1,788 per user, and an enterprise version is available only by request. However, for less demanding customers, the vendor offers a free version that features a limited functionality.

2.  ChartBlocks

Unlike other tools, Big Data graph visualization in the case of ChartBlocks relies not only on databases and spreadsheets but also on live streams. An embedded wizard converts raw Excel-based data into responsive visuals that are rendered properly on screens of any sizes, with the use of a D3.js JavaScript library. Users can integrate results into required web pages and further share them on social networks.

The most expensive billing version that allows up to 2.5 million views a year costs  $780, and there is a free version available that features a reduced functionality.

3.  Chartio

Chartio is a cloud Big Data visualization solution that visualizes information in a time-efficient and simple manner, as well as enables the offhand post-processing editing of the results. While eliminating the need for programming skills for the development of various visuals, the application consolidates scattered data and represents noteworthy patterns and trends with catchy and interactive dashboards and charts.

The Financial Times, Reuters TV, Optimizely, Shazam and many others have decided upon this software for Big Data visualization. This tool enables users to share results across the team and run a historical data comparison. Also, the high level of customization that the tool supports allows creating individually tailored dashboards.

However, the advanced capability of the on-the-fly processing of unrelated data is high-cost: approximately $2,988 for a team of six annually, and a case-by-case basis enterprise pricing.

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4.  Datawrapper

Unlike other applications of this sort, Datawrapper focuses on journalists and publishers as a target audience, and The Wall Street Journal, The Washington Post and The Guardian are among its customers. This application is easy to utilize and allows creating interactive visuals, and the fact that it does not require coding only adds to its user-friendliness. Besides, the vendor offers powerful mobile solutions that support devices of all types and sizes.

The tool converts Big Data that are provided in CSV, PDF and other resource formats into comprehensive graphics. As Datawrapper is widely adopted by publishers, its capability to apply custom layouts for the seamless integration of visualized information with their website styles is especially valuable.

The cost of Datawrapper depends on the user type and the required functionality,   ranging from a free trial version to several thousand US dollars per year for customized solutions.

5.  FusionCharts

A JavaScript charting library for the creation of various charts, FusionCharts creates a variety of catchy and animated dashboards and offers a wide range of settings and features. The tool provides approximately 90 charts and 1,000 maps, as well as numerous off-the-shelf demos and dashboards. Based on a JavaScript API, the solution seamlessly integrates with JavaScript frameworks. The library allows building highly customizable visuals that operate flawlessly on all platforms and devices.

However, the tool does not come without certain drawbacks: it does not perform Big Data analytics visualization, its customization requires the involvement of developers, and basic users will not find it to be an easy-to-use solution.

The license cost starts at $199 per year per individual, while an enterprise plan costs $1,999 per year for a team of up to 20 developers.

6.  Infogram

Infogram is capable of processing information in real time, which definitely makes it stand out. The application features an accelerated creation and publishing of insightful content as it organizes the whole workflow in the form of a three-step procedure. The solution provides a variety of templates, which enables creating personalized dashboards and charts, as well as images, videos and maps.

For users that do not require advanced visualization capabilities, the vendor provides a free basic billing plan. There are other plans that offer enhanced capabilities, such as the one for teams that costs about $804 per year. The most demanding customers usually opt for an enterprise model, which includes custom development. Despite the fact that the majority of companies value the application’s performance and functionality highly, some of them claim that the price is unreasonably high.

Sotheby’s, Warner Music Group and Euronews are among those that entrust the visualization of their data to Infogram.

7.  Plotly

Plotly is a provider of numerous robust open-source tools that analyze corporate information and turn it into powerful visuals, such as dashboards, charts, graphs and presentations. That is why the employees of Google, Procter & Gamble and the U.S. Air Force have adopted it for visualization of Big Data.

The application supports various options for data import and analysis, while it does not require coding. A built-in library and a chart development widget enable the creation of catchy graphics.

Not all of the application’s users are satisfied with its performance, as some point to its complexity and malfunctions, as well as slow and inefficient customer support. The software cost varies significantly: from $59 to almost $2,000 for a user license per year, depending on the selected plan.

8.  Raw

Raw is an open-source software for the translation of unstructured information into insightful vector-based visuals, which is powered by its adaptive mapping options that allow determining trends and patterns. The tool converts PNG, SVG and other data formats into graphics in an easy and time-efficient manner. However, these graphics are not fully finished, which necessitates the involvement of a designer who converts the obtained results into an appealing and informative form using Sketch, Adobe or Inkscape software.

The application is highly scalable, which makes it possible to add custom charts, but also requires special knowledge of D3.js, at a basic level.

9.  Tableau

One of the most popular solutions, a long-time leader of Gartner’s Magic Quadrant for Analytics and Business Intelligence, Tableau provides outstanding data visualization among its other comprehensive capabilities and creates graphics that are superior to its competitors. The creation of tables, maps or charts, including those that provide a 3D view, in an interactive and vivid manner is easy for this powerful software, adding value to information perception and analytics. Audi AG, Dow Jones and Company, Maersk, Skype and other big market players have already decided on this solution for Big Data visualization.

The application does not require programming; it encourages easy and intuitive graphics creation, making it a suitable solution for non-dev users. To satisfy diverse requirements of businesses of all sizes, the vendor supplies the software in three versions: a desktop, a server and an online one. Also, a powerful Android- and iOS-friendly mobile version provides users with access to data at any point in time while offering the full functionality of desktop or online solutions.

The vendor charges a minimum of $420 per user per year, while enterprise customers get individual rates. Despite this, common users can also enjoy its one-of-the-kind visualization capabilities in a free public version.

10. Visually

National Geographic, Visa, Ford, The Economist, Nike, Johnson’s and many other big market players visualize Big Data with Visually. The vendor of various solutions for marketing, PR and publishers, it delivers visualization as an outsourced service. The company offers the development of turnkey visualization solutions, as well as team augmentation with their professionals.

The custom nature of Visually’s tool engages for creative solutions that meet customer requirements, while the cost calculation is performed on an individual basis.

The Snapshot of Top Ten Visualization Tools for Big Data

Although all of the applications from the list of Big Data visualization tools serve the same purpose, each of them is differs with respect to the following attributes:

  • Ease of use
  • Type and variety of data sources
  • Availability and value of training materials
  • The efficiency of customer support
  • Availability of custom styles
  • Capability to process real-time data
  • Cost
  • Other

Naturally, all of these characteristics together affect the choice of an appropriate solution for companies, but cost remains the most significant consideration. Different vendors link their product billing plans to factors such as the number of team members, views per month and others. At the same time, the range of available features also affects the price.

We have made a comparative analysis of the prices of the best Big Data visualization tools, based on plans that cover medium and ultimate functionality, as well as free ones.

Free planMid-price plan, per yearEnterprise plan, per year
CartoAvailable$1,788 per userAvailable upon request
ChartBlocksAvailable$240 per user$780 per user
ChartioNot available$2,988 for up to 6 usersAvailable upon request
DatawrapperA free trial version$1,548 for an unlimited number of usersAvailable upon request
FusionChartsNot available$499 for 3 developers$1,999 for 20 developers
InfogramAvailable$804 per teamAvailable upon request
PlotlyNot available$948 per user$1,990 per user
RawInfo not availableInfo not availableInfo not available
TableauA free trial version$420 per userAvailable upon request
VisuallyNot availableNot availableAvailable upon request

Add Value to Your Business with Efficient Big Data Visualization Software

Although there are hundreds of Big Data visualization tools, some companies still wonder how to visualize Big Data, as available applications do not perfectly fit their requirements. When a company fails to select a proper solution, we recommend addressing an established service provider, such as SaM Solutions, for the custom development of a visualization application. Individually tailored trade-off solutions ensure that they match the performance requirements and keep a company within a budget.

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About the author

Yuliya Shaptunova
Yuliya Shaptunova

A content writer at SaM Solutions, Yuliya is anxious to create and deliver relevant experiences. She evangelizes corporate knowledge on expertise and innovations that the company provides.

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