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This blog discusses a list of big data visualization tools. I’ve split them into two categories, for non-developers and developers. The non-developer data visualization tools provide a nice graphical user interface, while the developer tools require some programming and offer more flexibility.
Tools for non-developers
Tools for developers
- Google Chart
Let’s take a look at each one in detail.
Top 10 Big Data Visualization Tools Chart
Tableau is a software company that focuses on creating top data visualization software. It’s based in Seattle, Washington, and is viewed as one of the companies making the best online data visualization tools.
It’s noted as one of the first tools for big data to give businesses the power to create interactive visualizations from a data source – without the need for a data scientist or even a specialist IT support.
Access to this kind of business intelligence is invaluable for any company, and Tableau, is bringing it to the masses through easy to use interface and an interactive dashboard.
It is offered as a SaaS (Software as a Service) application for
- And online (as a Cloud app)
The company offers great support, and the community is strong. You’ll be able to find a guide or tutorial for just about anything.
The downside (as with many similar products) is the cost. It’s free for students, but the cost can quickly skyrocket. Costs for medium businesses can reach hundreds of thousands of dollars per year.
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Datawrapper is a tool targeting publishing firms and journalists. It has an impressive list of clients including:
- The Washington Post
- The Wall Street Journal
Like Tableau, you don’t need any coding knowledge to write any code for interactive visualization of data from multiple data sources. Just upload your data and get back what you need. You can easily integrate your creations with your site and even use and take advantage of local maps.
It’s a little more affordable than Tableau, and is now free for up to 10K chart views.
RAWGraphs claims to be the “missing link between spreadsheets and data visualization”. It’s a web app that offers a fairly easy-to-use copy and paste interface and sends out professional-looking graphs. One of its biggest selling points is that it’s free. Completely free.
It also offers some other cool features like:
- Easy export to 3 data formats or an embed code
- Compatible with Sketch, Adobe Illustrator, and Inkscape
- No registration required
The app is designed with “designers and visual geeks in mind”, so you have a lot of flexibility. Also, despite being a web app, RAWGraphs doesn’t process any of your data – it’s all done by your web browser. This means you know your data is kept safe because you’re the only one that ever sees it.
Overall, RAWGraphs is great if you are looking for one of the most professional, free, open, customizable, and best data visualization tools.
Build custom pie charts in just a few easy steps. Simply use the platform’s easy drag and drop features along with its comprehensive library of graphics and you will be creating professional-looking charts in no time.
All charts will be safely stored and accessible anywhere/anytime thanks to the platform’s cloud storage. Already, thousands of businesses all over the globe are using Canva to create top-class visual representations of their data.
If you are tossing up which data visualization tools to use (as you are reading this, there is a good chance you are!), Plotly offers some great samples. This can give you an idea of what you can expect, and you can expect a lot.
Used by organizations as diverse as the U.S. Airforce and Google, there is surely something you’ll find useful. They have a user-friendly web tool which means no installation requirement for you. One thing I really like is you can post graphs directly to social media for your friends to interact with and explore.
It’s possible to create interactive charts and collaborate with colleagues easily. Also for developers, there’s an API you can plug into for great customization and flexibility.
Plotly offers data science workspaces and AI catalog for low code development of AI and data science apps. You will likely need a team of data scientists and data analysts in your team to make a data visualization application through Plotly and efficiently work with your business data through appropriate visualization methods.
Visit our blog for some tips on hiring data scientists. Take a look at some exprerienced data engineering developers at DevTeam.Space.
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Another cool feature of Plotly is the ability to upload a chart, and its data, with just a static image. That means you can simply scan a chart and Plotly will figure out what it means and the data behind it. Awesome!
The library is fast enough to support large, real-time data sets to make your charts come to life. It also allows animation and even interaction.
Coders will be happy with the built-in components and plugin mechanisms. With these, you can create neat and reusable code for later projects.
Some of the main features of FusionCharts include:
- 90 chart styles
- 2D and 3D charts
- Input data in JSON or XML format
- Charts are rendered in HTML5, SVG, and VML (Vector Markup Language)
- Available in 120 countries
- Helpful tool-tip
- Zooming, scrolling, and panning through graphs
- Native jQuery integration
- 950+ maps
It’s not hard to see how they’ve managed to bag big clients such as Google, Microsoft, and Intel. It does cost money for commercial applications, starting at $149 for smaller deployments.
8. Google Chart
Anything with Google’s name stamped on it is probably going to be good. The Google Charts project tries to focus on ease-of-use for developers, and it certainly achieves this goal.
The tools manage to strike a good balance between being simple and also giving developers the opportunity to get really stuck into the code.
VML support means users with older browsers aren’t left out, and everything is portable to iOS and Android. The most exciting thing, though, is that it’s a completely free project.
With Google backing it, you know it’s going to keep getting better.
Chart.js is a great open-source big data graph visualization tool. I actually wrote a tutorial recently explaining how to use it on your own blog. It’s relatively small compared to some of the other projects on this list, but I love it.
The library itself is tiny, weighing in at only 11 kilobytes. You can even make it smaller by removing any chart types you don’t need. The charts are all built on the client-side.
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In that tiny package you get six chart types:
- Pie charts
- Line charts
- Bar charts
The library doesn’t have all of the bells and whistles that FusionCharts has. For example, the charts are rendered using HTML Canvas, so there is no interactivity available.
But, it’s still a nice choice if you’re looking for something easy. Moreover, Chart.js is free under the MIT license, so you don’t need to worry about hefty fees.
Not many big data visualization tools can boast being used by 61 out of the world’s 100 biggest companies. HighCharts offers more interactivity than Chart.js and is more mobile-friendly too.
There’s also a cloud service you can use if you need big data visualization on cloud.
It’s free for non-commercial use, and deployment licenses start at $390.
Interested in Using Big Data Visualization Tools?
Using good data visualization tools can improve your business intelligence remarkably. You will get better insights into user data, operations data, etc. Moreover, you will be able to turn these insights into actions that will help your business grow swiftly.
Whichever you choose from big data visualization tools, you’ll need to make sure you know how to get the most out of it. You can either learn yourself or find a team that has the experience and knows how to visualize big data in an effective way.
If you are still looking for data engineers and developers to help you with the implementation data driven transformation for your business via visual representation of data and ineractive dashboards, DevTeam.Space can help you.
You can get in touch via this quick form describing your initial data analysis requirements. One of our technical managers will get back to you to further answer your questions in detail and to connect you with field-expert data engineers.
Frequently Asked Questions
• Google Charts
• Microsoft Power BI
Google Charts is very user-friendly and simple to use for all your data exploration from multiple databases including CSV files, SQL databases, etc. Also, it is a powerful tool that allows users to create some great data visualizations like heat maps, vector graphics, scatter charts, etc.
You can decide on a BI tool to analyze data in visual formats by going through the following:
• Decide on your desired output
• Assess all the features of the relevant visual analytics tools
• Choose the most suitable one.