Best Data Visualization Tools for 2024

Data visualization is a very important part of understanding the hidden patterns and layers in the data! What sounds more interesting to you? A beautiful and descriptive bar chart or a boring spreadsheet giving the same information? In this blog, we are going to navigate through the vast landscape of data visualization tools.

Visual representation has been an enduring force that transcends language barriers and simplifies the comprehension of complex concepts. From cave drawings depicting daily life to intricate maps guiding explorers, visualizations have always been instrumental in helping humanity understand the world around them. This intrinsic connection between visuals and understanding forms the foundation of data visualization tools, which have now evolved into sophisticated instruments in the digital age.

What is Data Visualization?

Graphical representation of any information or data is known as Data Visualization. This helps in segregating the data in an efficient manner by using various types of visuals such as graphs, maps, charts, maps, and visualization tools. In addition to this, with the help of a data visualization tool, the data can be presented in a very unique and understandable manner so that people who are not from a technical background can understand everything easily.

What are Data Visualization Tools?

Data Visualization Tools are software platforms that provide information in a visual format such as a graph, chart, etc to make it easily understandable and usable. Data Visualization tools are so popular as they allow analysts and statisticians to create visual data models easily according to their specifications by conveniently providing an interface, database connections, and Machine Learning tools all in one place! 

Top Data Visualization Tools

Best Data Visualization Tools for 2024

This article will demonstrates the Best Data Visualization Tools which you can use in 2024. So let’s check them out! 

Best Data Visualization Tools for 2024

  1. Tableau
  2. Looker
  3. Zoho Analytics
  4. Sisense
  5. IBM Cognos Analytics
  6. Qlik Sense
  7. Domo
  8. Microsoft Power BI
  9. Klipfolio
  10. SAP Analytics Cloud
  11. Yellowfin
  12. Whatagraph
  13. Dundas BI

1. Tableau

Tableau is a data visualization tool that can be used by data analysts, scientists, statisticians, etc. to visualize the data and get a clear opinion based on the data analysis. Tableau is very famous as it can take in data and produce the required data visualization output in a very short time. And it can do this while providing the highest level of security with a guarantee to handle security issues as soon as they arise or are found by users. 

Tableau also allows its users to prepare, clean, and format their data and then create data visualizations to obtain actionable insights that can be shared with other users. Tableau is available for individual data analysts or at scale for business teams and organizations. It provides a 14-day free trial followed by the paid version.

Pros

  • Ease of Use: Tableau is the program with the user-friendly interface, so easy that the person with limited technical expertise can use it simply “drag and drop”.
  • Visual Appeal: In Tableau, creating visually stunning and highly interactive dashboards is a key area where it is better than the others in conveying the insights.

Cons

  • Cost: What restrains scalability is the fact that Tableau can be expensive, especially in terms of enterprise deployments where there are not many free options.
  • Scalability: Even though Tableau is such a strong tool, it might be a bit less optimal to cover dataset cases which are extremely large and complex due to possible performance issues.

2. Looker

Looker is a data visualization tool that can go in-depth into the data and analyze it to obtain useful insights. It provides real-time dashboards of the data for more in-depth analysis so that businesses can make instant decisions based on the data visualizations obtained. Looker also provides connections with Redshift, Snowflake, and BigQuery, as well as more than 50 SQL-supported dialects so you can connect to multiple databases without any issues. 

Looker data visualizations can be shared with anyone using any particular tool. Also, you can export these files in any format immediately. It also provides customer support wherein you can ask any question and it shall be answered. A price quote can be obtained by submitting a form.

Pros

  • Security: Data security is a primary feature emphasized by Looker, with the availability of role- based access control and data encryption to ensure that the boundless data is shielded.
  • Real-Time Data: Looker emphasizes on the real time data exploration, hence so that users can find out the latest information and make quick, well-informed decisions accordingly.

Cons

  • Learning Curve: Even though learning reader might be a bit difficult sometimes because it is not as easy as some simpler tools, beginners will still need some training to learn the art of data visualization.
  • Limited Customization: Looker comes with pre-defined built-in visualizations; therefore, it seems a little restrictive for those users who demand more options fitting their specifications.

3. Zoho Analytics

Zoho Analytics is a Business Intelligence and Data Analytics software that can help you create wonderful-looking data visualizations based on your data in a few minutes. You can obtain data from multiple sources and mesh it together to create multidimensional data visualizations that allow you to view your business data across departments. In case you have any questions, you can use Zia which is a smart assistant created using artificial intelligence, machine learning, and natural language processing. 

Zoho Analytics allows you to share or publish your reports with your colleagues and add comments or engage in conversations as required. You can export Zoho Analytics files in any format such as Spreadsheet, MS Word, Excel, PPT, PDF, etc. The pricing options available for this software include a basic plan with approx. A$34.1/month billed yearly. 

Pros

  • Affordability: With Zoho Analytics even the entry-level costless plan lets users benefit from basic offerings which will be great for small-scale individual or organizational needs.
  • Integration: Zoho analytics provides a centralized data management and analysis environment whilst synchronising with other Zoho applications which includes it within the Zoho ecosystem.

Cons

  • Limited Functionality: With respect to majors tools, Zoho Analytics probably has less options for complicated data alteration or/and sophisticated representations.
  • Community Support: Zoho’s support features might not be as advanced as some of the big data visualization solutions, such as Tableau or Qlik.

4. Sisense

Sisense is a business intelligence-based data visualization system and it provides various tools that allow data analysts to simplify complex data and obtain insights for their organization and outsiders. Sisense believes that eventually, every company will be a data-driven company and every product will be related to data in some way. Therefore it tries its best to provide various data analytics tools to business teams and data analytics so that they can help make their companies the data-driven companies of the future. 

It is very easy to set up and learn Sisense. It can be easily installed within a minute and data analysts can get their work done and obtain results instantly. Sisense also allows its users to export their files in multiple formats such as PPT, Excel, MS Word, PDF, etc. Sisense also provides full-time customer support services whenever users face any issues. A price quote can be obtained by submitting a form.

Pros

  • In-Memory Analytics: Sisense uses in-memory analytics for quicker data transition and visualization, which will help in the fast examination of large datasets.
  • Mobile-Friendly: Sisense provides let-optimized dashboards, meaning that the user can access and analyze data in just about wherever they are.

Cons

  • Pricing: Like Tableau, Sisense can be pricey for corporate use, especially given complete aquettance of pricing information.
  • Deployment Options: Sisense provides on-premise and cloud deployment modes, but a reduced number of features are available for the cloud system compared to the on-premise version.  

5. IBM Cognos Analytics

IBM Cognos Analytics is an Artificial Intelligence-based business intelligence platform that supports data analytics among other things. You can visualize as well as analyze your data and share actionable insights with anyone in your organization. Even if you have limited or no knowledge about data analytics, you can use IBM Cognos Analytics easily as it interprets the data for you and presents you with actionable insights in plain language. 

You can also share your data with multiple users if you want on the cloud and share visuals over email or Slack. You can also import data from various sources like spreadsheets, cloud, CSV files, or on-premises databases and combine related data sources into a single data module. IBM Cognos Analytics provides a free trial for 30 days followed by a plan Starting at approx. A$20.87 per month. 

Pros

  • AI Integration: IBM Cognos Analytics boasts of integrating AI-based features which in turn enable users to automate tasks, suggest insights, and make self-service exploration of data easy.
  • Scalability: IBM Cognos Analytics is created to simplify as well as execute data processing even for big and complicated datasets that are commonly associated with enterprises.

Cons

  • Complexity: Due to its complex functions, this analytics can be difficult to master so it might take some time to get up to speed with it and learn to utilize it elegantly.
  • Customization: Among the customization options in the IBM Cognos Analytics, there might be less flexibility compared to open sourced and fully customized tools.

6. Qlik Sense

Qlik Sense is a data visualization platform that helps companies to become data-driven enterprises by providing an associative data analytics engine, sophisticated Artificial Intelligence system, and scalable multi-cloud architecture that allows you to deploy any combination of SaaS, on-premises, or a private cloud. 

You can easily combine, load, visualize, and explore your data on Qlik Sense, no matter its size. All the data charts, tables, and other visualizations are interactive and instantly update themselves according to the current data context. The Qlik Sense AI can even provide you with data insights and help you create analytics using just drag and drop. You can try Qlik Sense Business for free for 30 days and then move on to a paid version. 

Pros

  • Associative Engine: Through the uses of associative engine, users may seamlessly access different parts of the data, and the greater insights are thus constructed.
  • Self-Service Analytics: Qlik sense makes users to analyze the data by themselves without depending on persistent IT professionals for data arrangement and do graph preparations.

Cons

  • Licensing Costs: Although Qlik Sense provides a free trial, the subscription fees for medium scale or large scale deployments may require agreat budget.
  • Limited Collaboration Features: Qlik Sense might be less efficient in real collaboration on dashboards as they do in some competitors’ tools.

7. Domo

Domo is a business intelligence model that contains multiple data visualization tools that provide a consolidated platform where you can perform data analysis and then create interactive data visualizations that allow other people to easily understand your data conclusions. You can combine cards, text, and images in the Domo dashboard so that you can guide other people through the data while telling a data story as they go. 

In case of any doubts, you can use their pre-built dashboards to obtain quick insights from the data. Domo has a free trial option so you can use it to get a sense of this platform before committing to it fully. In case of any customer service inquiries, Domo is always available from 7 AM to 6 PM from Monday to Friday and you can try it for free followed by the paid version. 

Pros

  • Unified Platform: Domo emphasizes an in-depth data visualization, intelligence and collaboration platform all within its easy to access dashboard.
  • Storytelling Capabilities: Users Domo the function of creating data stories by combining visualizations with text and pictures, and this is hugely transformative in how they communicate data.

Cons

  • Complexity: The feature-richness of Domo as well as its data visualization essence may be a hurdle for the users, who are new to the field and are not yet experienced.
  • Scalability Concerns: Some users have informed of associated performance issues when working with very big datasets in Domo applications.

8. Microsoft Power BI

Microsoft Power BI is a Data Visualization platform focused on creating a data-driven business intelligence culture in all companies today. To fulfill this, it offers self-service analytics tools that can be used to analyze, aggregate, and share data in a meaningful fashion. 

Microsoft Power BI offers hundreds of data visualizations to its customers along with built-in Artificial Intelligence capabilities and Excel integration facilities. And all this is very pocket friendly at a $9.99 monthly price per user for the Microsoft Power BI Pro. It also provides you with multiple support systems such as FAQs, forums, and also live chat support with the staff. 

Pros

  • Cost-Effectiveness: Power BI is composed of the free version and the paid version that is reasonable for many users, which results in higher popularity among users.
  • Integration with Microsoft Ecosystem: Power BI enhances the efficiency of performing the functions of transfer of data from and within other MS products, for example, Excel, and the workflow of analysis.

Cons

  • Limited Customization: Among other things, Power BI may have fewer customization alternatives than some open-source or custom correctly developed data visualization tools.
  • Vendor Lock-In: The trusting long term use of Microsoft software for analyzing the data possibly can confine users who are in favor of the less platform centric way.

9. Klipfolio

Klipfolio is a Canadian business intelligence company that provides one of the best data visualization tools. You can access your data from hundreds of different data sources like spreadsheets, databases, files, and web services applications by using connectors. Klipfolio also allows you to create custom drag-and-drop data visualizations wherein you can choose from different options like charts, graphs, scatter plots, etc. 

Klipfolio also has tools you can use to execute complex formulas that can solve challenging data problems. You can obtain a free trial of 14 days followed by $49 per month for the basic business plan. In the case of customer inquiries, you can get help from the community forum or the knowledge forum. 

Pros

  • Focus on KPIs: It is worth noting that Klipfolo does an excellent job in creating KPI (key performance indicator) based dashboards that enables organizations to get a glimpse of their business performance.
  • Drag-and-Drop Simplicity: Klipfolio comes with a simple, functional drag-and-drop feature that allows users to create new visualizations without having to spend much time. Thus, gaining the benefits that visualization could provide to beginner users too.

Cons

  • Limited Offline Access: Klipfolio main functionality online in turn can reduce it connectivity when an internet connection is unstable.
  • Limited Data Source Options: Probably, Klipfolio may be limited in the variety of data sources supported against some capabilities of comprehensive instruments.

10. SAP Analytics Cloud

SAP Analytics Cloud uses business intelligence and data analytics capabilities to help you evaluate your data and create visualizations in order to predict business outcomes. It also provides you with the latest modeling tools that help you by alerting you of possible errors in the data and categorizing different data measures and dimensions. SAP Analytics Cloud also suggests Smart Transformations to the data that lead to enhanced visualizations. 

In case you have any doubts or business questions related to data visualization, SAP Analytics Cloud provides you with complete customer satisfaction by handling your queries using conversational artificial intelligence and natural language technology. You can try this platform for free for 30 days and after that pay $22 per month for the Business Intelligence package.

Pros

  • Enterprise-Grade Security: SAP, as it relates to cloud platform security, puts data protection as top priority offer solid features to ensure data safety within the cloud.
  • Predictive Analytics: The capability to perform predictive analytics is included in SAP Analytics Cloud, among other things, which empowers users to identify prospective trends and make data-backed decisions.

Cons

  • Cost: SAP Analytics Cloud can be a costly analytics solution for small business and individual users, which is licensed with a pricing group depending on the set of functionalities and how data is deployed.
  • Learning Curve: In the light of SAP Analytics Cloud’s capabilities and cloud-based nature, proper training of users might be needed so as not to miss out on the advantages that it has to offer.

11. Yellowfin

Yellowfin is a worldwide famous analytics and business software vendor that has a well-suited automation product that is specially created for people who have to take decisions within a short period of time. This is an easy-to-use data visualization tool that allows people to understand things and act according to them in the form of collaboration, data storytelling, and stunning action-based dashboards.

Yellowfin provides complete customer satisfaction with its five core products which have been integrated properly in order to manage analytics properly across the whole enterprise. You can try this platform for free for 30 days and after that pay $250 per month for the paid package.

Pros

  • Automation Features: Yellowfin has a built-in automation tools for tasks like data preparation and report creation where the quickness will be achieved reducing the manual efforts.
  • Collaboration Tools: Yellowfin, the feature is based on collaboration on reports and dashboards, and therefore will allow to Cc and share knowledge within the teams.

Cons

  • Limited Free Version: While Yellowfin provides a free trail it only covers basic stuff, and upgrades are necessary to get access to more complicated features.
  • Limited Customization Options: Open-source and the most configurable tools may offer greater customization options for visualizations in comparison to the one I am describing, however it is still a good tool.

12. Whatagraph

Whatagraph is a seamless integration that provides marketing agencies with an easy and useful way of sharing or sending marketing campaign data with clients. With this platform, you can create the data in a way that the result is easy to understand and comprehend. This Data visualization tool has numerous customization options which can be picked virtually and help in creating reporting widgets or creating your own methods of presenting data.

Whatagraph also helps in comparing data of different marketing platforms and their performance in one single report. You can try this platform for free for 30 days and after that pay $199 per month for the paid package.

Pros

  • Marketing Focus: Whatagraph as a marketing data analysis tool is engineered for marketing teams. The tool has in-built features that are designed to take care of marketing data as it was meant for the marketing team.
  • Ease of Use: Whatagraph concerns itself with the user friendliness of its software, thereby making it possible for a marketer without much data visualization experience to create a report and share insights anytime.

Cons

  • Limited Data Analysis Capabilities: Whatagraph will probably not be as experienced as general-purpose data visualization tools in terms of- depth analysis of data or complex analysis of statistic.
  • Scalability: Suchployment differs from enterprise marketing analytics but may not be suitable for processing an extremely large dataset.

13. Dundas BI

Dundas Bi is a flexible business intelligence and analysis tool. One can create and display animated dashboards, reports or scorecards. This platform can be used for data analysis can be used flexibly, openly and completely configurable. Dundas BI is capable of being a portal for data or it can be integrated with the existing website.

Dundas BI offers a wide range of data visualization options, including charts, graphs, maps, and gauges, allowing users to represent their data in a visually appealing and informative manner. It caters to the demands of users ranging from business analysts to data scientists, providing them with tools to derive actionable insights from their data.

Pros

  • Customization Flexibility: DLIve can be one of the most customizable tools in terms of data visualizations, so it is possible for users to create specially designed graphs and charts.
  • Open Architecture: Dundas BI employs the open architecture approach which acts as a base for integration with diverse data sources, data import and data export functions as well as for embedding within existing applications.

Cons

  • Learning Curve: When compared to easy-to-use tools, Dundas BI presents more of a challenge in getting accustomed to it; therefore, the learning curve can be steeper and more likely to require training or technical assistance.
  • Limited Free Options: Dundas might offer a trail period, but its pricing is not ready that can be accessed online, and this can mean that Dundas is at a higher cost than some competitors who allow potential customers to access their pricing plan details online.

Conclusion

Hence, these were some of the Top Data Visualization tools which will help you to work efficiently without any time wastage. Also, if you want to try any of them, the trial versions are available which you can use according to your need and without any hassle. 

FAQs

What are the five data visualization techniques?

Five data visualization techniques are:

  • Bar Charts
  • Line Charts
  • Scatter Plots
  • Pie Charts
  • Heatmaps

What are the uses of data visualization?

Uses of Data Visualization:

  • It helps to identify trends and patterns in data.
  • It effectively convey the complex information.
  • It facilitates the informed decision making.
  • It discovers insights and relationships in data.
  • It monitors performance and changes over time.

What are the best data visualization tools for Data Scientists ?

The best data visualization tools for Data scientists are Tableau and Power BI. Both of these tools offer powerful visualization and analytics capabilities.

Free Data Visualization Tools

Several free data visualization tools, including RAWGraphs, Looker Studio, Tableau Public, Microsoft Power BI, Visualize Free, Plotly, Datawrapper, Flourish, Dygraphs, and Highcharts, offer diverse options for creating interactive and visually appealing visualizations, enabling users to explore and communicate insights from their data effectively.

Best Open Source Data Visualization Tools

  • Matplotlib
  • Seaborn
  • Plotly
  • Bokeh
  • D3.js

Best Python Data Visualization Tools

Some of the Python Data Visualization Tools are as follows:

  • Matplotlib
  • Seaborn
  • Plotly
  • GGplot
  • Altair
  • Bokeh
  • Pygal