Comparison Of 14 Data Visualisation Tools — Part 2

Compare 14 industry-leading data visualisation tools to accelerate your time to insight and improve the bottom line.

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Published October 27, 2021
Last updated November 14, 2021

Data visualisation tools use eye-catching imagery to translate data into insight. Even with the most advanced AI-fueled analytics tools, professionals still extract incredible value from the visual interpretation of data points.

Data visualisation is beneficial because it leverages the most effective way for humans to gain new information—vision. In the era of exponential data growth and the increased number of touchpoints through which we gather data, having an ally such as a data visualisation tool is not a bad idea.

To this end, in this second part of our two-part blog series, we have gathered an overview of 8 different data visualisation softwares to compare including:

  • Sisense
  • Klipfolio
  • Plotly
  • Visually
  • Chart.js
  • FusionCharts
  • Google Chart
  • D3.js

The differentiating criteria include:

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

Click here if you wish to read the first part of the comparison series with six additional data visualisation tools, including Tableau, Power BI, Databox, Chartblocks, Infogram, and Datawrapper. 

Data Visualisation Software Differentiating Criteria

 

Integration

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, there are many other types of visualisation companies can use to showcase information in a clear and concise 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.

 

Price

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

Data Visualisation Tools Comparison

 

Sisense

Sisense is an analytics-focused data visualisation tool currently serving companies across various industry verticals including Sony, ESPN, Comcast, and NASA. The software is a recognised leader by Forrester and Garner in the data visualisation and analytics space. Sisense brings user-friendly embedded analytics into everyday business tools such as Slack, Salesforce, or G-suite to allow professionals to fuel data to the dashboards from multiple data sources.

With Sisense, users can benefit from embedded analytics visuals that can provide customised alerts and action-based widgets to facilitate efficient collaboration. 

Sisense

Klipfolio

Klipfolio is one of the leading data visualisation softwares that integrates with any data source. It brings interactive dashboards with visual analytics that automatically keep your data in sync. Additionally, the software offers historical data comparisons to track growth or changes over time. 

The dashboards are visually appealing and customisable, giving extra options for business executives to validate their decision making processes.

Klipfolio

Plotly

Plotly offers browser-based interactive data statistics and analytics visualisations. The platform facilitates the creation and modification of apps that help data scientists present and visualise their data without needing to learn how to code through its open-source platform called Dash. With Dash, professionals can build industry- or enterprise-specific dashboard apps or interfaces to display Plotly’s visualisations. 

The real benefit of Plotly and Dash is in its scalability, as it goes beyond what basic data visualisation tools offer, bringing capacity for NLP, object detection, and predictive analytics. With over 500 thousand downloads per month, Dash is the new standard for AI & data science apps.

Plotly

Visually

A marketing solution Visually, acquired by ScribbleLive in 2019, provides on-demand and scalable services for the production of visual outputs and content.

This data visualisation solution offers a wide range of products and services, including video production, infographics, PR, communication solutions, and visualisation of data, to name a few. 

The service provider works with over 1000 talented journalists, developers, and designers seeking to deliver bespoke data visualisation outputs. Consequently, Visually positions itself as a comprehensive yet cost-effective marketing collaboration platform that can meet even the most complex requirements.

Visually works on the basis of providing customised quotes for its services.

Chart.js

Chart.js is an open-source HTML5 charting service provider. As a JavaScript library for data visualisation, it supports 8 graph types, including line, bar, radar, pie, polar area, bubble, scatter, and area charts. 

The solution deploys a three-step chart creation process that is easy to execute. To begin, users must choose a place on their website where a graph will be displayed. Secondly, they need to decide on the kind of diagram they need to create. Finally, provide data, labels, and any other necessary information to the program.

As a result, Chart.js is a highly customisable data visualisation tool that allows you to create responsive visualisations that are mobile-friendly. Therefore, it is a solid alternative for businesses that need prompt and visually appealing graphs at no cost.

Chart.js

FusionCharts

FusionCharts is a Java-based platform used by over 800,000 developers in 28,000 companies to build online and mobile visual dashboards. Furthermore, the tool is compatible with a wide range of frameworks and programming languages, therefore FusionCharts’ visual projects can be embedded anywhere.

Due to the software’s primary emphasis on creating business operations dashboards, users can track essential indicators and monitor the performance of various departments within an organisation, as well as evaluate monthly and yearly revenues, financial investments, and performance targets.

FusionCharts

Google Charts

Since its inception in 2007, Google Charts has positioned itself as a powerful cloud-based data visualisation tool that assists businesses in displaying data on their respective websites. 

The tool can be used to easily create basic line charts or large hierarchical maps with minimal JavaScript expertise. Google Charts offer a set of default templates, including geo, column, bar, pie, and organisation charts. Nevertheless, Google enables users to customise the look of the diagrams to meet companies’ needs better. 

Additionally, the program can be readily integrated with Google Sheets and Fusion tables, along with being equipped with cross-browser compatibility and cross-platform portability.

Given that it’s an entirely free product, this may be a great option for businesses looking to maximise the effect of reporting while still keeping the costs down.

GoogleCharts

D3.js

D3.js is a JavaScript library that empowers efficient manipulation of documents based on data using web standards such as HTML, SVG, and CSS. The platform is open-source, meaning its code is customisable. Still, modifications will require JavaScript development knowledge. 

D3 combines powerful visualisation and interaction techniques with a data-driven approach to enable companies to design their own visual interface for their data.

D3.js

Final Thoughts

In today’s data-driven climate, enterprises deal with large volumes of data, often missing the key insights that the data can deliver. With the right data visualisation software in the technology toolbox, decision making becomes more straightforward, real-time and accurate. 

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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