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Top 7 AI Tools for Data Visualization: 2024 Selection

Last Updated : 03 Mar, 2024
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In the realm of data analytics, visualization plays a crucial role in making complex information accessible and actionable. With the advent of artificial intelligence (AI), data visualization has reached new heights, offering innovative tools and techniques to uncover insights and tell compelling stories from data. As we step into 2024, the demand for AI data visualization tools continues to soar, empowering organizations and individuals to extract value from their data like never before.

AI Tools for Data Visualization

In this article, we’ll explore the top 7 AI data visualization tools carefully selected for their advanced capabilities, user-friendly interfaces, and ability to transform raw data into impactful visualizations.

Top 7 AI Tools for Data Visualization: 2024 Selection

  1. Tableau
  2. Microsoft Power-BI
  3. Qlik
  4. Looker
  5. Sisense
  6. Polymer
  7. Akiko

The top 7 AI tools for data visualization would be discussed below:

1. Tableau

Tableau is one of the most widely used AI tools for data visualization in 2024. It is an American company that started in 2003 and helps people sort and present vast amounts of data.

Tableau

Link: https://www.tableau.com/

Features:

  • Provides ready-to-use dashboards.
  • Data could be summarized in an understandable manner.
  • Provides explanation of data and helps build relationships in it.

Pros

Cons

It does not require any coding experience.

No mechanism to recover past versions of the data or dashboards.

The user interface is simple and easy to use.

Expensive option for a large organization.

Pricing Plan:

  • Free Trial
  • Tableau Creator: $70 for 1 user per month
  • Tableau Explorer: $35 for 1 user per month
  • Tableau Viewer: $12 for 1 user per month

2. Microsoft Power-BI

Microsoft Power-BI is an AI tool for data visualization made by Microsoft. It uses various software services and apps to create impactful data from scattered pieces of information. This AI tool for data visualization was released in the year 2015.

Microsoft Power BI

Link: https://www.microsoft.com/en-us/power-platform/products/power-bi

Features:

  • Can get data from large databases.
  • Data can be filtered and smaller subsets could be created.
  • Q&A box provided to search for data in the system.

Pros

Cons

Monthly updates and innovation in the system.

Complex data relationships could not be handled properly.

Can get integrated with Microsoft Excel.

Can only handle 2 GB data in a free model.

Pricing Plan:

  • Free version available
  • Power BI Pro: $10 per user/month
  • Power BI Premium: $20 per user/month

3. Qlik

Qlik is an American AI tool for data visualization founded in 1993. By using an associative data model this tool ensures that users could derive meaningful insights without hassle.

Qlik

Link: https://www.qlik.com/us

Features:

  • Drag and drop feature to analyze data.
  • Provides commentary for the data which is displayed.
  • Can connect related data automatically.

Pros

Cons

Flexible and adaptable Data visualization.

Dependency on Java Script rescues accessibility to non technical users.

Allows collaboration and sharing insights amongst team members.

Mobile application of the tool do not have many features.

Pricing Plan:

  • Free trial available
  • $20 per user/month
  • $2,700 per user/month
  • Customisable plan for enterprises.

4. Looker

Looker powered by Google Cloud is a 2012 AI tool for data visualization. It is commonly used for the purpose of making interactive reports and to work together on data using Google Cloud.

Looker

Link: https://cloud.google.com/looker?hl=en

Features:

  • Provides self service BI to explore and refine data.
  • Data is completely stored on the cloud
  • Can schedule reports for being updated with performance.

Pros

Cons

Data Boards are updated to provide recent numbers and information.

Loading of reports is a time taking process.

Quick and effective customer support services.

Can get confusing and confining when dealing with complex data.

Pricing Plan:

  • Provides free trial.
  • $5,000/month for premium version.
  • Can be communicated and decided with the sales team.

5. Sisense

Sisense is an Israel based AI tool for data visualization formed in 2004. It is majorly used by small and medium businesses. With its advanced feature of intelligent analytics, it provides large data set to produce effective results.

Sisense

Link: https://www.sisense.com/

Features:

  • Provides catchy visuals of data.
  • Exports data to PDF, Excel, Images, CSV and other formats.
  • Provides drag and drop feature.

Pros

Cons

Reduces the need to use multiple tools.

Difficult to learn its advanced features.

Can scale with growing business needs.

Limited number of native connectors.

Pricing Plan:

  • Provides free demo.
  • Price can be decided based on the requirements of the project.

6. Polymer

Polymer is an AI tool for data visualization which boosts its easy to use services. All the task from creating data visuals to creating presentations from data could be done effortlessly without use of any codes.

Polymer

Link: https://www.polymersearch.com/

Features:

  • Connects with a range of data sources like google ads etc.
  • Makes the spreadsheet interactive and searchable.
  • Dashboards could be shared amongst team members.

Pros

Cons

Can be used by non- technical people as well.

Does not provide mobile application.

Real time updates

Website lacks certain crucial information.

Pricing Plan:

  • Free trial available
  • $10/month
  • Custom pricing available.

7. Akiko

Akiko is a MA based technology company formed in 2019. In the present day it stands as one of the top AI tools for data visualization which is highly recommended from some of the top organizations like Forbes, Fortune, Harvard Business Review, etc.

Akiko

Link: https://www.akkio.com/

Features:

  • Can provide future insights.
  • Effectively integrate with your existing tools and platforms.
  • Provides for Collaborative working with a team.

Pros

Cons

Do not need coding experience.

Can’t handle large and complex databases.

Is suitable for many different types of industries.

Not very flexible and customizable.

Pricing Plan:

  • Free trial available
  • Pro: $49 per user/month
  • Premium: $99 per user/month

Comparison

S. No.

Tool Name

Uses

Technology Used

Free Version Available?

1

Tableau

Data visualization, business intelligence, and interactive dashboards

VizQL, Hyper Data Extract

Yes

2

Microsoft Power BI

Data analytics, insights generation, reporting, and dashboard creation

Azure AI (Machine Learning), Data Analysis Expressions

Yes

3

Qlik

Data discovery, associative data modeling, and interactive visualizations

Qlik Sense Hub, Qlik Data Integration, and Qlik Associative Big Data Index

Yes

4

Looker

Collaborative environment, and data exploration

LookM, Looker APL, Looker Explore

Yes

5

Sisense

Integration of data, analysis of data, and helps in decision making

Machine learning and predictive analytics, In-Chip Technology, and ElastiCube

Yes

6

Polymer

Collaborative data sharing, data visualization, and searchable spreadsheet

Polyfil, JavaScript (ES6+)

Yes

7

Akiko

Insightful data visualizations, decision support, and user-friendly interface

Akismet, Google Analytics

Yes

How AI is used in Data Visualization?

Some of the top AI tools for data visualization have become an integral part of working for many professionals. This is because these AI tools help them to complete their task in a more impactful manner that too in less time.

The task of sorting, organizing, analyzing, examining and predicting outcomes from data were initially done manually which caused many errors. This was significantly reduced with the coming of AI. The uses of these top AI tools in data visualization are mentioned henceforth:

  • Automatic data analysis
  • Personalized data visualization
  • Create interactive data visuals

Related Articles:

Conclusion

In this modern world which has been increasingly governed by AI, it becomes crucial to understand which are the top AI tools for data visualization. The tools mentioned above are some of the most frequently used tools in 2024. Though some of the tools might be heavy on the pockets yet some tools also provide free versions which could be used by beginners who could further move to more advanced paid versions in the future.

Based on the preferences and interests of an organization or an individual they can choose from the many AI tools available by analyzing the pros and cons and the services that the tool provides.

AI Tools for Data Visualization – FAQs

Is there AI for data visualization?

Yes, AI tools for data visualization are available all throughout the internet providing access to hassle free and impactful sorting of huge amounts of data in a time and cost efficient manner.

Which tool is best for data visualization?

Tableau which is the most effective, user friendly, and cost efficient AI tool for visualization in the current scenario. It provides a total of 24 features which are clearly explained on its website.

Is there an AI tool for data analysis?

Yes, there are a plethora of AI tools for data analysis available on the internet. They are widely used by people from all professions be it marketing, sales, operations, etc.

Is Tableau an AI tool?

Yes, Tableau is an AI tool which uses the hyper technology which has been developed by the company itself. It helps sort data into appealing visuals.



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