Top 14 Best Data Visualization Tools 2024 Comparison

The best data visualization tool is tailored to your unique data and organizational objectives. What works for one team might not be the best fit for another.

There is no such “one super tool” ✨ that will suit all needs. However, we can help you find the visualization tool that will help you. This article will help you discover 14 data visualization tools you should consider in 2024.

With a detailed overview and feature description, our goal is to help you answer: “This is the best data visualization tool 2024″.

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List of Top Data Visualization Tools 2024

1. Ajelix BI
2. Power BI
3. Tableau
4. Zoho
5. Qlik Sense
6. Looker
7. Klipfolio
8. Domo
9. Datapad
10. Datawrapper
11. Trevor
12. Datapine
13. Infogram
14. Databox

1. Ajelix BI

If you’re a small to medium business owner, entrepreneur, or anyone who needs some data visualization, Ajelix BI is a great option. It’s easy to use and set up, and you don’t need to be an IT specialist or analytics expert to use it.

They offer a freemium plan, and their upgrade is $40 per month. It’s worth checking out if you’re looking for a data visualization tool that’s easy to use and affordable.

Ajelix BI one-click report dashboard screenshot. View the live report here.

Features

• No-code editor: Anyone can use Ajelix BI, even without technical expertise.
• AI dashboard generator: Create multiple reports with just one click.
• Quick setup: Get your reports up and running in no time, without complex configurations.
• Shareable reports: Share your insights with colleagues or clients using secure links and passwords.
• Collaborative access: Easily add editors or viewers to your reports with a few clicks.
• Connect to Google Sheets: Seamlessly integrate Ajelix BI with your Google Sheets for automatic data updates.
• One-click reports: get reports from your data with just one click.
• Set refresh intervals: Schedule automatic reporting to keep your data fresh and relevant.
• Interactive reports: Create interactive reports with filters for data-driven decision-making.
• Real-time insights: Gain immediate insights from your data, regardless of the data source.
• AI-powered analysis: Analyze your charts with AI-powered insights to uncover hidden patterns.

Pricing

• Freemium plan: created to test the features and functionality of the platform
• Business plan: is 40$ a month
• Business + plan: is 200$ a month.

Pros:

• Ease of use
• Fast reporting
• Easy live data reporting
• No complex setups
• Doesn’t require advanced IT knowledge

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2. Power BI

Power BI is one of the well-known data visualization platforms, that offers extensive freemium plans and advanced IT or analytics knowledge.

Features

• Connect to a wide range of data sources, including cloud-based, on-premises, and self-hosted databases.
• Create complex data calculations using DAX formulas.
• Transform your data using Power Query Editor, a visual data transformation tool.
• Seamlessly integrate with other Microsoft products, such as Excel and Dynamics 365.
• Keep your Power BI reports up-to-date with scheduled data refreshes.
• Expand the capabilities of Power BI with your own code and visualizations.

Power BI dashboard screenshot from Microsoft webpage

Pricing

• Freemium plan
• Power BI pro for 10$ user per month
• Premium user for 20$ per month
• Microsoft Fabric from 4995$ – 8409$ per month

Pros

• Extensive freemium plan for individual use for users who have advanced analytics knowledge
• Many possibilities using DAX functions and coding
• Budget-friendly solution

Cons

• Requires advanced knowledge in setup and usability
• Hard to navigate the reports, interface is hard to digest
• Customization is very limited if you don’t have a coding skills
• Doesn’t offer report responsivity for mobile and tablet versions
• Read more detailed pros and cons overview on our blog.

Related Article:Explore Best Data Visualization Software for Mac 2024

3. Tableau

Another very popular platform, Tableau is great for data analytics, however, it’s hard to master and requires SQL knowledge.

Features

• Advanced AI & ML Integration: Tableau seamlessly integrates with artificial intelligence and machine learning (AI/ML) to provide you with insights that you might have missed on your own.
• Performance and Scalability: Tableau is built to handle large volumes of data and perform complex analytics without any issues.
• Mobile Friendly: Tableau is available on both iOS and Android devices, allowing you to view and analyze your data on the go. 

Pricing

• Tableau Public freemium plan
• Creator is 75$ user per month
• Explorer is 42$ user per month
• Viewer 15$ user per month

Pros

• Can handle large amounts of data
• Advanced AI modules
• Have an embedded analytics

Cons

• Very limited customization possibilities
• Doesn’t provide live data refreshing
• Doesn’t have a version control
• Requires SQL and VizQL knowledge
• Steep learning curve
• Learn more on Tableau pros and cons overview

4. Zoho Analytics

Modern data visualization platform that provides different visualization possibilities also great solution for those who already use Zoho tools.

Features

• Integrate data from various sources and well-known business applications to create a centralized view of your data.
• Prepare and cleanse your data before creating reports using Zoho Analytics’ powerful data prep tools.
• Leverage AI-powered analytics to make informed business decisions.
• Collaborate with colleagues or clients on reports using Zoho Analytics’ intuitive interface.
• Embed analytics into your applications using Zoho Analytics’ no-code solutions.
• Schedule reports to be automatically generated and sent to designated recipients.

Zoho Analytics dashboard screenshot from their website

Pricing

• Basic plan 30EUR per month
• Standard plan 60EUR per month
• Premium plan 145 EUR per month
• Enterprise plan 575EUR per month

Pros

• Modern data visualization templates
• Easy to use data preparation and cleansing tools
• AI chat and insights

Cons

• Some documentation & onboarding information are missing
• Steep learning curve
• Embedded charts may encounter speed issues
• Missing intuitiveness
• Report creation still can require IT support

5. Qlik Sense

QlikSense is a well known data visualization platform which has more BI features. This tool is quite expensive if we compare to other tools.

Features

• Utilize Qlik Sense’s AI-powered data preparations tools to automate data cleaning, merging, and transformations.
• Use Qlik Sense’s drag-and-drop interface to create visualizations that are tailored to your specific needs.
• Build interactive dashboards that allow you to explore your data in real-time.
• Utilize predictive analytics to forecast future trends and make informed business decisions.
• Take advantage of Qlik Sense’s high-performance cloud platform to analyze large volumes of data in real-time.

Qlik Sense dashboard screenshot example from their website

Pricing

• Standard plan costs 20$ a user per month (if you add more than 10 users)
• Premium 2700$ per month with 50GB space
• Enterprise level can ask for a quote

Pros

• AI-assisted data preparation
• Advanced and predictive analysis
• Embed functionality
• Cloud platform

Cons

• Data extraction is very limited
• Setup requires help from IT and data analysts
• Live data reporting isn’t supported
• Steep learning curve
• You can experience speed issues when working with large amounts of data

Related Article: Top 10 Best Business Intelligence Tools Comparison

6. Looker

Looker or previously known Google Data Studio is an advanced data analytics platform created for enterprises and big data analytics.

Features

• Real-Time Insights and Reports: Gather real-time insights and reports from your preferred cloud platform.
• Embedded Analytics: Integrate Looker into your business applications.
• Connectivity with Other BI Platforms: Connect Looker to your existing BI solutions.
• Vast Library of Templates: Leverage Looker’s extensive library of custom templates.
• LookML for Data Modeling: Build semantic data models using LookML, which is built around SQL for data modeling.

Looker dashboard screenshot from Google Cloud website

Pricing

• Standard plan is 5000$ per month
• Enterprise and Embed plan requires a quote
• Separate licensing:
  • Developer costs 125$ user per month
  • Standard user costs 60$ per month
  • Viewer license 30$ per month

Pros

• Can process big amounts of data
• Offers extensive variation possibilities, the ease of use depends from developer
• Large amount of premade templates
• Real life data analytics from your choice of cloud

Cons

• Steep learning curve
• One of the most expensive platforms
• Limited customer support
• Lack of filtering options
• Complex user management

7. Klipfolio

This data visualization platform is more used as a KPI library all reporting is based on metric creation and data integration. If you want a quick visualization Klipfolio won’t be the tool for it.

Features

• Create Your Own Metrics: Customize and build your own metrics to track key performance indicators (KPIs).
• Integrate Data from Over 100 Data Sources: Connect to over 100 data sources, including cloud-based, on-premises, and self-hosted databases.
• Use Pre-Made Dashboards for Live Data: Leverage Klipfolio’s library of pre-built dashboards to visualize real-time data.
• Generate Data Feeds Using SQL: Create custom data feeds using SQL or other methods for further analysis and customization.
• Prepare Data Before Reporting: Cleanse, transform, and prepare your data using Klipfolio’s data preparation tools before reporting on it.

Klipfolio dashboard screenshot example from their website

Pricing

• Freemium plan
• Standard plan that costs 300$ per month
• Custom plan will cost 800$ per month

Pros

• More than 100 data sources
• Live data reporting
• Easy sharing options
• Many pre-made report templates

Cons

• May experience delays and performance issues
• Doesn’t have drag and drop functionality
• Missing some support documents
• Backend report creation setup is complicated

Other Visualization Tools

• Domo – large BI platform for medium to enterprise businesses
• Datapad – easy to use data visualization tool
• Trevor – visualization platform that doesn’t require data analyst
• Databox – user-friendly and offers automated reporting.
• Datapine – requires a profound understanding of analytics and often necessitates IT assistance.
• Datawrapper – more used for data visualization rather than BI tool.
• Infogram – provides only data visualization capabilities.

Summary

The best data visualization tool depends on individual needs and goals. To choose the right tool, consider the goal, data sources, user experience, collaboration, and budget.

Ajelix BI is a great option for small to medium business owners, entrepreneurs, or anyone who needs some data visualization. It offers a no-code editor, quick setup, shareable reports, collaborative access, seamless integration with Google Sheets, one-click reports, interactive reports, real-time insights, and AI-powered analysis.

Power BI is another well-known data visualization platform that offers extensive freemium plans and advanced IT or analytics knowledge. Pricing plans vary from 19$ per user to 5000$ and more per month.

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