The amount of data generated and consumed by organizations is growing at an astounding rate. The total volume of data and information worldwide has risen from approximately 2 zettabytes in 2010 to 74 in 2021, according to online data service Statistica. By 2024 the figure is expected to hit 149 zettabytes.
As organizations find themselves awash in data, there’s a growing need to make it digestible, understandable and actionable. Data visualization software takes direct aim at the task by creating static or moving images that communicate concepts in a way that words and numbers alone cannot.Â
What Is a Data Visualization Tool?
Data visualization Tools find and display key data insights. The practice involves pulling data from a database and creating dashboards and graphics such as pie charts, bar charts, scatter plots, polar area diagrams, heat maps, timelines, ring charts, matrix charts, word clouds and more. By representing myriad data points graphically it’s possible to peer deeper into important numbers, trends, metrics and key performance indicators (KPIs).Â
Not surprisingly, data visualization tools have moved out from the shadow of data scientists and IT departments and into the hands of business users. Organizations are now using visualization software to better understand scenarios as varied as customer sentiment and behavior, real-time sales, health care trends, departmental goals and market research, to name a few. In addition, advertisers and media organizations use these tools to generate eye-catching graphics and infographics.
Of course, different data visualization software approach the task differently. Some lean toward more conventional business intelligence (BI) functions while others plug in live data from social media and various applications residing in the enterprise. Some of these tools also incorporate machine learning and AI to deliver more advanced functionality — and insights. Most packages include templates and connectors for building robust models, graphics and dashboards.Â
If you’re in the market for the best data visualization software, take the time to understand what various vendors and applications offer, how they work and whether they’re able to accommodate your organization’s data visualization needs — and pricing preferences.Â
How to Select the Best Data Visualization Software
It’s important to focus on several factors when selecting a data visualization tool.
- What type of visualizations do you require? Not surprisingly, different data visualization tools provide different ways to aggregate and view data. Make sure you can easily connect to and input the data you require. Most of these packages come with a robust set of APIs for ingesting data.
 - What types of platform does the software run on and what devices does it support? Some solutions are cloud-based and others reside on desktop and even mobile devices. Some vendors that support an on-premises model have applications that run only on Windows. This can present problems if you have teams using Macs.Â
 - Does the package adequately support your organization’s performance requirements? Some applications encounter difficulties with extremely large files, and some don’t perform well in certain situations. If the rendering engine can’t support the speed required for web pages and real-time dashboards, you may have a problem.Â
 - Does the application integrate with your workflows? Flexibility and scalability are often crucial. You may need to change templates, inputs or criteria from time to time — including through other programs and platforms connected through APIs. Make sure the program can support these changes.
 - Â What does vendor support look like? An application may produce stunning visualizations. Yet building these visualizations can be extraordinarily difficult. Make sure a vendor offers solid documentation and support, including videos and tutorials. Also, check on whether the vendor offers 24×7 phone support if you get bogged down.Â
 - What does the package cost? Some solutions, such as Google Data Studio, are free. Of course, they may not deliver the features you need — or they may lock you into a specific cloud provider. Most vendors offer tiered pricing, including an enterprise option. Review the choices carefully.
 - What security protections does it offer? Make sure that a platform provides adequate protections for accessing, securing and sharing data.Â
 
10 Top Data Visualization Tools & Software
Jump to:
- Databox
 - Google Data Studio
 - iDashboards
 - Infogram
 - Qlik Sense
 - Sisense
 - Tableau
 - Visme
 - Whatagraph
 - Zoho Analytics
 
See more: What is Data Visualization?
Databox

Pros
- Offers innovative features, including looped data boards, scheduled snapshots and annotations
 - Provides more than 70 one-click integrations with data services
 - Offers more than 200 pre-built reports
 - Intuitive interface and highly flexible visualizations
 
Cons
- Some users complain about subpar integrations leading to inaccurate data and visualizations
 - Reports aren’t highly customizable
 - Some users complain about frequent bugs and crashes
 
Google Data Studio

Pros
- Free
 - Drag-and-drop interface doesn’t require coding skills or heavy technical knowledge
 - Offers strong collaboration features and the ability to share dashboards
 - Built in tool for calculating metrics and formulas
 - Highly customizable
 
Cons
- Can be difficult to integrate with non-Google platforms
 - Some users complain that the reporting functions are confusing and difficult to use
 - Some complaints about frequent bugs and crashes
 - Users complain that customer support is subpar
 
iDashboards

Pros
- Straightforward and easy-to-use drag-and-drop interface
 - Pulls data from almost any source. Comes with nearly 300 connectors, including all major cloud and application platforms
 - Generates extremely rich data visualizations
 - Highly flexible and customizable
 - Pricing is attractive, particular for SMBs
 
Cons
- Can be difficult to set up and configure
 - The large number of design options can be daunting to new users
 - Some users have problems connecting to or importing very large source files
 - Some premium features require additional licensing and costs
 
Infogram

Pros
- Offers a large and varied collection of designer templates, including interactive charts, maps and animations
 - Intuitive and easy to use interface
 - Integrates well with Google Drive, OneDrive and Dropbox
 - Powerful and elegant collaboration features for teams
 
Cons
- The free plan doesn’t allow customizations and file downloads to systems and devices
 - More advanced features and plans can be pricey
 - Some users report bugs and crashes
 - No ability to work on projects offline
 
Qlik Sense

Pros
- Delivers powerful features and tools for building complex data visualizations from nearly any data source or set
 - Offers an AI-based Smart Search feature that helps users uncover data relationships
 - Uses machine learning and AI for enhanced insights
 - Includes real-time analytics and data visualization
 - Excellent mobile device functionality
 
Cons
- Learning curve can be steep
 - Requires some technical knowledge to use the software effectively
 - Users report that customizations can be challenging
 - Can be expensive, especially with add-ons
 
Sisense

Pros
- Delivers powerful features along with fast and rich visualizations
 - Intuitive user interface
 - Customizable and flexible
 - Uses natural language and other AI to generate reports and visualizations
 - Highly rated customer support
 
Cons
- Some reports of performance slowing with heavy data loads
 - May require knowledge of coding, including JavaScript and CSS to format visualizations
 - Some users complain that documentation is lacking, particularly surrounding widgets
 - Documentation can be difficult to understand.
 
Tableau

Pros
- Fast and powerful
 - Well-designed interface
 - Consistently ranked as a leader by Gartner and others
 - Supports all major platforms and works on almost any device
 - Connects to hundreds of data sources and supports all major data formats.
 
Cons
- Expensive
 - Mixed reviews about customer support
 - May require training to use the full set of features and capabilities on the platform
 - Difficult to customize
 - Lacks some important security controls.
 
Visme

Pros
- Offers thousands of templates for infographics, presentations, charts, maps, documents and more
 - Integrates with Slack, YouTube, Vimeo, Dropbox, Google Drive, SurveyMonkey, Mailchimp, Google Maps and many other products and services
 - Provides strong collaboration features
 - Offers excellent tutorials and other learning materials
 - Highly rated customer support
 
Cons
- Some users complain that the same graphics appear frequently at different companies and websites
 - Can be challenging to learn
 - Users say that the interface can at times be slow and confusing
 - Some complaints about frequent bugs
 - Only more expensive plans have key privacy settings
 
WhatagraphÂ

Pros
- Excellent features and support for social media and marketing
 - Built in integrations for more than 30 data sources
 - Powerful cross-channel data integration and monitoring
 - Automated features for sending reports
 
Cons
- Not highly customizable
 - Cross-channel integrations can be complex and require considerable time to set up
 - Some user complaints about the speed of the application
 - Some complaints about subpar customer support
 
Zoho Analytics

Pros
- Comes with more than 500 data connectors
 - Includes strong collaborative features with security protections
 - Includes AI-based augmented analytics that let users create data visualizations using natural language.
 
Cons
- Some users say that the interface is not user-friendly and as intuitive as they would like
 - The application can be slow to generate data visualization with very large data sets
 - Features and support for mobile platforms and devices sometimes lacking
 - Some users complain that the application lacks flexibility, particularly in regard to changing reports
 
See more: Best Data Quality Tools & Software 2021
Comparison Table of the Best Data Visualization Tools
| Data Visualization Software | Pros | Cons | 
| Databox | • Innovative features • One-click integration with 70+ data services • Extensive reporting formats·     Intuitive interface  | 
• Integrations don’t always work well • Reports aren’t highly customizable • Some complains about bugs and crashes  | 
| Google Data Studio | • Free • Intuitive drag-and-drop interface • Strong collaboration features • Highly customizable  | 
• Difficult to use outside Google ecosystem • Reporting can be confusing • Subpar customer support  | 
| iDashboards | • Intuitive drag-and-drop interface • Connectors for almost all major data sources • Produces rich visualizations • Highly flexible  | 
• Can be difficult to set up and configure • Large number of design options can be daunting • Can be difficult to import very large files  | 
| Infogram | • Large and varied collection of templates • Intuitive and easy to use interface • Integrates well with Google Drive, OneDrive and Dropbox • Strong collaboration features  | 
• Free plan is extremely limited • Reports of frequent bugs and crashes • It’s not possible to work on projects offline  | 
| Qlik Sense | • Powerful features • Supports a very wide range of data sources • Includes machine learning and AI capabilities • Works well on mobile devices  | 
• Steep learning curve • Requires some technical knowledge to build effective visualizations • Not easily customizable • Can be pricy with add-ons  | 
| Sisense | • Powerful features and rich visualizations • Intuitive user interface • Flexible and customizable • Incorporate natural language and other AI functions • High customer support ratings  | 
• Can exhibit slow performance for very large data loads • May require scripting for more advanced visualizations • Some complaints about documentation materials  | 
| Tableau | • Fast and extremely powerful • Intuitive interface • Connects to most major data sources • Supports most platforms and devices  | 
• Expensive • Difficult to customize • Mixed user reviews about customer support • Some security controls missing  | 
| Visme | • Offers numerous templates • Integrates with most major applications and data sources • Strong collaboration • Highly rated customer support  | 
• Users complain they see the same graphics at different websites • Can be challenging to learn the program • Interface can be slow at times • Some complaints about bugs  | 
| Whatagraph | • Shines for marketing and social media • Powerful cross-channel integration and monitoring • Automated reporting features  | 
• Not highly customizable • Setting up integrations can be difficult and time consuming • Some user complaints about customer support  | 
| Zolo Analytics | • More than 500 data connectors • Strong collaboration with built in security • Offers AI and natural language features  | 
• User interface could be more user-friendly • Can be slow when accessing very large data sets • Lacks flexibility for some users  | 


                                    