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Top 8 Data Visualization Tools

TableauInformatica PowerCenterQlik SenseDomoOracle Analytics CloudSAS Visual AnalyticsELK KibanaDundas BI
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    From my perspective, it enables clients to better understand our data and make better decisions based on that information.The best use case for us is the solution's integration with Salesforce because we are also partners of Salesforce.
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    It's a very powerful tool you can use to load data, get data, do the drawing between the tables, and put into the packet in a very fast way.The greatest feature is that it is very easy to have someone come in and jump right in. It is one of the nicest tools in terms of getting a person acquainted quickly.
  3. Find out what your peers are saying about Tableau, Informatica, Qlik and others in Data Visualization. Updated: January 2022.
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    The visualizations are good and keep improving.Showing a miniature version of the chart if the case chart is bigger than the screen resolution allows us to have full context at all times.
  5. One feature which I have found to be very interesting is the Beast manager, where you can create calculated fields. They are shared in one common repository so someone else can use the same calculated fields; they don't have to rewrite or reinvent the APIs.
  6. A valuable feature is the speed of the solution.The product is easily customized.
  7. It integrates well with SAS, making it simple and quick for developers.Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics.
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  9. The optimization and flexibility of visualization tools. Having a tool where you can find logs that were generated months ago, and being able to search over a long period of time, is great.
  10. The Layers feature organizes my work and makes it easier, instead of having to use scripting to show and hide when drilling down.

Advice From The Community

Read answers to top Data Visualization questions. 564,322 professionals have gotten help from our community of experts.
Rony_Sklar
Hi peers, There are so many data science platforms to choose from. Which platform would you recommend to enterprise-level companies that want flexible and powerful data visualization capabilities to drill down into the data?  What makes the solution that you recommend a better choice than others?
author avatarGavin Robertson
User

Need to address basic data issues, e.g., quality, standardization and security, and MDM first, to obtain meaningful data visualization and single entity views, e.g., customer, patient and product. Ideally, a visualization tool should be able to interact with a backend actionable data catalog driven by data virtualization/federation either directly or through data provisioning. Power BI, QlikView and Tableau are excellent standard data visualization tools. Cambridge Intelligence's KeyLines is an excellent interactive graph visualization tool.

author avatarWillie Jacobs
Real User

We have been using Qlik Sense for the past 2 years and purchased but never really used Qlik View before that. We have used excel extensively and seen demos and tried Power BI and looked at demos for a couple of other BI tools.


We settled on using Qlik Sense as our Reporting, BI and Analytics tool due a very successful proof of concept delivered by our Qlik consultants.


Qlik Sense gives us the ability to visualize our data in various ways from simple bar and line charts or combined to scatter plots, mekko charts, funnel chart, pie charts, gauge charts and KPI items. Visualization options include table and pivot table that can be utilized to display detailed data. Visualizations also include a map chart that can be used to visualize various map layers with to display movement, density, are and points. 
This has been extremely valuable being from a logistics company.


I would therefore recommend Qlik Sense for the best visualization capabilities.

author avatarPeter Eerdekens
Real User

QlikSense. The associative analytics engine makes it kind of child's play to combine multi-source data and in combination with the augmented intelligence features QlikSense helps to create analytics and visualizations faster.

author avatarreviewer1450293 (Co-Founder at a computer software company with 11-50 employees)
Real User

Qlik and PowerBI are great tools. I'd say most times IT people go to these tools, Qlik for ease and PowerBI because it works with Microsoft365.  


I think non-technical users will always lean toward Tableau since it is an easy and more Agile tool meaning drag, drop and change. Particularly PowerBI requires you to know what you want first and then build bottom-up, versus Tableau you can change your way to your final dashboard.

author avatarJorge Barroso
Consultant

In my case, I can recommend Power BI, that works very well with a lot of database. It shows very good visualization graphs that allows to create many dashboards easily and connect with many data sources that can work very good to present, share and compare data thought the company and with users.

author avatarJAMAL AL MAHAMID
User

When considering a BI tool, everyone looks for the leaders: Power-BI, QlikView and Tableau. 


They all offer ease of use. However, consider Power-BI, QlikView for the technical team and Tableau for more business-oriented users. 


Note, Power-BI is more compatible with MSFT365 than others. 


You may also consider looking at MetrixPlus that provides additional features for automating workflows to get data and to deliver Enterprise Architecture-based performance management.

author avatarVictor Feria
User

There are powerful options. QlikView, Tableu and PowerBi offers agile implementation.

author avatarreviewer1066977 (Solution Architect/Technical Manager - Business Intelligence at a tech services company with 5,001-10,000 employees)
Real User

Now a days lot of visualization tools coming in the market, its difficult for anyone to choose from these variety of tools. However there can be various parameters which will help choose right set of Visualization tool for your requirements.


1. User Friendliness


2. Self Service Capability


3. Connectivity / compatibility with different systems that are available in the market


4. Compatibility with Cloud service providers


5. Relational, big-data systems and data lake connections, AI-ML and predictive analytics capabilities


6. License Cost 



I would recommend Power BI and Tableau as they provide lot of features and visualizations to choose from, with reasonable cost and connectivity with major systems.


Find out what your peers are saying about Tableau, Informatica, Qlik and others in Data Visualization. Updated: January 2022.
564,322 professionals have used our research since 2012.