Last updated on May 15th, 2026 at 02:19 pm
Top 5 Data Visualization Tools
The advent of the internet, artificial intelligence, technology and vast amounts of data in our everyday lives has made the process of data visualisation, its use in the various means of buying, selling, post-selling and its presentation skills one of the prime tools in data analytics. The display itself has used every new device, beginning from charts, graphs to animation, virtual reality, augmented reality and everything in between to evolve in a chimerical fashion to make the process of presenting data at the opportune moment in an engaging, communicative manner the differentiator.
Should one compare the free and open-source alternatives with the paid data visualisation tools? The answer should be ‘yes’ because, in a world where speed, accuracy, flexible and robust solutions count, and data security could be an area of fatality, they best evolve with practice, use, development and customer retention which costs.
Let’s do a quick review of some of the visualisation tools and why they are regarded as the top ones.
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Tableau
Tableau handles significant and rapidly changing data with ease. Integrating Hadoop, My SQL, SAP, Amazon AWS, and Teradata with AI and machine learning capabilities tweaks the presentation into dynamic visualisation which is easy to understand.
QlikView
Some of the most promising features are that it has a customizable set-up, a very widely used feature range, and a clutter-free interface. It does suffer in taking a little more time for full use of its potential but can be used for data discovery and exploration in conjunction with Qliksense for BI solutions with excellent reporting, analytics and intelligence capabilities.
Fusion Charts
Widely used over 90 chart types which integrate across platforms and frameworks give it flexibility. FusionCharts significant improvement is its use instead of starting a new visualisation from scratch by just using the “live” example templates and plugging in their data sources as needed.
Highcharts
Its focus on cross-browser support makes it an excellent choice when fast and flexible solutions with minimum need for specialist data visualisation training is needed.
Datawrapper
The package is widely used by media organisations to create charts, upload csv and present statistics in straightforward charts, maps etc. that allow quick embedding into reports.
Plotly and Sisense also find mention among the top few. In selecting the best data visualisation tools for 2018, the following devices have earned their place with Sisense and Tableau being apparent frontrunners.
Zoho Reports
With seamless integration, Zoho is user-friendly, has automatic report generation and impressive support availability. It is a business intelligence and analytics software that helps create insightful dashboards and data visualisations with reports on project status, burn down charts, utilisation of time, planned reports vs actual reports and so much more.
Domo
Domo offers storage, great sharing features and a range of connectors but is a little short when it comes to its interface and learning curve.
Microsoft Power BI
Known for its superior capabilities, compatibility and easy usability, Power BI has a horde of pluses including data preparation, data discovery and interactive dashboards. Users also can load custom visualisations. However, it only falters because the desktop and web versions divide the data prep tools with the refresh cycle being limited.
Google Analytics
This exceptional platform for the website and mobile app analytics relies on third parties for training and has way too much automation in customer support.
Chartio, SAP Analytics Cloud, IBM Watson Analytics and the evergreen Salesforce Einstein Analytics platform are also climbing the charts steadily.
Data is an invaluable resource and managing it, is a tricky task for business solutions. Larger enterprises can afford data analysis teams, but smaller firms rely on data visualisation tools. If one uses technology, infrastructure, big data, and visualisation tools, it is possible to streamline operations, internally to become leaner and more efficient. Last but not the least, it helps to understand your customers and earn their loyalty.
References:
https://in.pcmag.com/cloud-services/106561/guide/the-best-data-visualization-tools-of-2018
https://www.forbes.com/sites/bernardmarr/2017/07/20/the-7-best-data-visualization-tools-in-2017/#111b7fdd6c30
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