Top 12 Data Visualization Tools in 2022: Features, Pricing, and How to Choose

Data visualization is the process of representing data graphically using charts, tables, histograms, and other infographics to make complex information easier to understand.

In modern organizations, data plays a crucial role, and visualization helps reveal trends, insights, and supports important decisions by presenting data in a simple visual form.

What Is a Data Visualization Tool?

Imagine needing to examine one million user records and group them by age range—a daunting and tedious task. A data visualization tool extracts information from such records and presents it visually to anyone who needs the data.

2022 Selected Top Data Visualization Tools

1. Tableau

Tableau allows users to access, visualize, and analyze data with drag‑and‑drop functionality for an interactive experience.

Features

Real‑time data analysis

Offline support

Database and cloud integration

AI/ML‑powered analytics

Integration for data scientists

Team collaboration environment

Slack integration for alerts and AI predictions

Suitable for non‑technical users—no coding required

Availability / Pricing

Tableau offers three plans: Creator ($70/month), Explorer ($42/month), and Viewer ($15/month) when billed annually.

2. Google Charts

Google Charts is a JavaScript‑based charting tool that visualizes data on websites.

Features

Developer‑focused, requires JavaScript knowledge

Wide variety of pre‑built chart types

No plugins required

Real‑time data updates

Cross‑browser compatibility

Portable to iOS and Android

Highly customizable chart types

Can be embedded in dashboards for dynamic charts

Availability / Pricing

Google Charts is completely free.

3. Zoho Analytics

Zoho Analytics transforms raw data into insights and dashboards, connecting to various sources, cloud databases, custom apps, and popular business applications.

Features

AI/ML‑driven automated insights and predictive analytics

Low‑code and no‑code integration

Integrations with Mailchimp, Shopify, and many other apps

Collaboration capabilities

Flexible deployment options

Data‑board presentations with slides, portals, and embedded AI assistants

Availability / Pricing

Cloud plans: Basic ($22/month), Standard ($50/month), Premium ($125/month), Enterprise ($495/month) billed annually. Free 15‑day trial is available. On‑premise plans include Personal (free), Professional ($30/month per user), with a minimum of five users.

4. Microsoft Power BI

Power BI enables users to connect, model, and visualize data easily.

Features

AI‑generated answers from data

Integration with popular apps and services

Real‑time analytics

Secure data analysis

Availability / Pricing

Power BI Pro costs $13.70 per user per month; Power BI Premium is $27.50 per user per month. Premium capacity starts at $6,858.10 per month.

5. Qlik Sense

Qlik Sense offers AI insights, automated data preparation, real‑time analysis, interactive dashboards, and fully customizable analytics.

Features

AI‑driven insights

Automated data preparation

Real‑time data analysis

Interactive dashboards

Fully customizable analytics

Availability / Pricing

Qlik Sense Business starts at $30 per user per month (annual billing). Enterprise plans are available on request.

6. Plotly

Plotly is a low‑code tool for building data‑visualization applications using Python.

Features

Requires Python development knowledge

Open source with an active community

Offline usage

Open‑source charting library for line, area, bar, histogram, etc.

Availability / Pricing

Plotly is completely free and open source. The optional Dash Enterprise add‑on provides managed reporting and alerts and is not free.

7. DOMO

Features

Real‑time data analysis

Interactive dashboards

Data sharing

Enterprise‑grade data applications

Availability / Pricing

Pricing is based on usage components such as storage, refresh rate, query volume, and user count.

8. Infogram

Infogram excels at creating infographics, reports, dashboards, slides, social media posts, and email headers.

Features

Interactive charts

Real‑time team collaboration

Project version history

Ideal for social media content creation

Custom tracking links

Availability / Pricing

Basic – free forever

Professional – $19/month

Business – $67/month

Team – $149/month

9. D3.js

D3.js is a JavaScript library for manipulating documents based on data using HTML, SVG, and CSS.

Features

Requires knowledge of HTML, CSS, SVG, and JavaScript

Extensive code examples for creating infographics

Comprehensive documentation

Availability / Pricing

D3.js is free and open source.

10. Databox

Databox is a dashboard tool for tracking and visualizing data from any source.

Features

Automated reporting

Alerts and notifications

Integration with popular apps and platforms

Customizable templates

Availability / Pricing

Free plan includes 3 data source connections, standard features, and 60+ integrations. Paid plans: Starter – $72/month; Professional – $135/month.

11. Datawrapper

Datawrapper is a tool for creating visualizations for newsletters, media, and publishing platforms.

Features

No coding or design skills required

Real‑time data updates

Responsive on all devices

Export to PNG, SVG, PDF

Print‑ready graphics

Customizable charts

Team collaboration via shared folders, Slack, Teams

Multiple chart types

Availability / Pricing

Free plan

Custom – $599/month

12. Highcharts

Highcharts enables web and mobile developers to easily create charts.

The library is built with JavaScript and TypeScript and works with any backend database, supporting frameworks such as Angular, React, Vue, iOS, R, .NET, Python, Java, Android, and more.

Features

Supports popular tech stacks

Highly customizable for developers

Rich documentation and learning resources

Availability / Pricing

Single‑seat – $152 per seat per year

SaaS – $300 per seat per year

SaaS+ – $750 per seat per year

OEM – contact Highcharts team

There is also a testing‑phase Highcharts Editor plan linked to a GitHub repository.

Conclusion

If data cannot be visualized, its growth makes it increasingly difficult to understand. Numerous data‑visualization tools are available for developers; some require coding experience, while others do not. Many free and open‑source options exist, and cost should be a secondary consideration after selecting the features you need.