Comparison Of 14 Data Visualisation Tools — Part 1

Compare the features of 14 industry-leading data visualisation tools to help empower accurate and seamless decision-making process.

The volume and frequency with which data is generated in today’s world necessitates the use of data visualisation solutions. 

Considering that 95% of organisations say that systemising data is cumbersome, a software for data visualisation is a welcome option for helping executives make informed decisions in a competitive business environment.

Moreover, effective data visualisation tools can also affect the bottom line. According to one study, enterprises with the most developed analytics skills capture a greater portion of the market and are able to make decisions 5 times faster than their rivals. Besides, these firms are twice as likely to be in the top 25% in their industry for profitability.

Considering the exponential data growth, enterprises should take advantage of data visualisation solutions. The global data visualisation market is set to reach $19.20 billion by 2027, a 117% increase since 2019. Hence, there is a growing array of visualisation solutions to choose from.

In our article, the first part of two-part blog series, we will compare 6 different data visualisation tools:

  • Tableau
  • Power BI
  • Databox
  • Chartblocks
  • Infogram
  • Datawrapper

Click here if you wish to read the second part of the comparison series with eight additional data visualisation tools, including Sisense, Klipfolio, Plotly, Visually, Chart.js, FusionCharts, Google Charts, and D3.js.

The comparison will be based on the following criteria

  • Integration 
  • Visualisation styles
  • Ease of use
  • The amount of data
  • Price

Read on to find the necessary ingredients that will help you make an informed purchase decision for your business.

Data Visualisation Software Differentiating Criteria



Data visualisation software works by connecting with different company systems that fuel its engine with the information. As a rule, the more systems the data visualisation software can connect with, the more data it can tie together, therefore—the more valuable it will be.

Visualisation styles

Data visualisation refers to the representation of data in a graphical format. When professionals think of visualisation styles, they typically think of bar graphs and pie charts.  However, many other types of visualisations are available for professionals to leverage for showcasing information in a clear format, such as maps and Gantt charts.

Ease of use

Some data visualisation solutions have a steeper learning curve than others. This criterion considers user interface and ease of learning. We have used customer feedback from G2 to help us determine how easy each platform is to use.

Amount of data

When working with data visualisation software, companies often deal with large amounts of data points. Different systems will have various abilities when it comes to the amount of data they can process, especially if they are free of charge.


This criterion will review the price of the software and will note if a free trial is available.

Read on to learn more about Tableau, Power BI, Databox, Chartblocks, Infogram, and Datawrapper, and how the criteria above apply to them.

Data Visualisation Tools Comparison


Tableau is one of the most prominent and long-standing names in the data visualisation industry, used by clients including Verizon, Pfizer, and JP Morgan. In addition, the technology used has been patented by Stanford University, meaning it has been tested and approved by professional academics.

One of the key advantages of this software is that it is fully customisable and can either be deployed to your own server or hosted on Tableau’s cloud. Furthermore, various access levels are available, and visualisations can easily be shared externally, either on public-facing websites or social media.


Power BI

Power BI (Business Intelligence) is Microsoft’s data visualisation offering. Initially created as a supplement to Excel, the software has grown and evolved into a significant competitor in the data visualisation industry.



Databox is popular with agencies and companies specialising in digital, with some of its customers including Crayon, Accuranker, and Tettra. Databox can deliver metrics using smartphones, Slack and even Apple Watches to present data to companies and clients alike.



ChartBlocks was created to help people create eye-catching visualisations as efficiently as possible, with no coding required. The software is known for allowing customers to fine-tune the final visualisation, whilst the chart-creation wizard guides users in choosing the most relevant data for their diagrams before they import it.

The software is also useful for those businesses that want to share the charts with ease. Simply copy and paste the embed code of your created visual onto your company’s website or share it directly on different social media platforms.



Infogram is best known as an infographics maker, but it can also create graphs, charts, and maps that update in real-time. Companies including Goodyear, TomTom, Fast Company, and LinkedIn are well-known users of this cloud software.



Datawrapper was initially designed for fast-paced newsrooms and is well-known for being efficient, speedy, and detailed. The open-source software is used by organisations including Associated Press, The New York Times, Axios, and the UN.


Final thoughts

In today’s corporate environment, enterprises must deal with large volumes of data. Presenting information in an accessible pictorial and graphical manner can aid decision making and have a direct impact on the bottom line.

If you want to adopt a data visualisation tool and aren’t sure how it will fit within your martech stack, reach out to our team at Behavioural Response to obtain a more holistic insight.

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