Kibana vs. NodeXL Pro

Kibana integrates seamlessly with Elastic Search which gives us access to parse and analyze data generated from our systems in order to make decisions. Also, Kibana helps us create insightful reports and dashboards that give us insights into the end-users usage on the system and helps us find the root cause of issues as well.

Incentivized

It is suited for social scientists who are more focused on the interpretation that fits in the area of Social Science and Humanity and has nothing to do with computer programming and mathematics

• Fast searches with powerful index.
• Beautiful data visualizations.
• Real-time observability.

Incentivized

• extracting the data from the social media
• visualising the big data of the social media
• sentiment analysis
• cluster analysis
• time series analysis

• Some performance issues with large datasets.
• Linking to dashboards makes extremely long urls.
• Lack of reports.

Incentivized

• It would be nice if NodeXL can analyse other type of social media such as Instagram, Facebook and TikTok
• It would be nice if it is 100 percent stable, as sometimes I have a problem with error in NodeXL when it is processing the data
• It would be nice if is able to reduce the price for adding Microsoft Power BI in NodeXL

We did not use the official Kibana support. Documentation was easy enough to follow.

Incentivized

Kibana has a better usability experience, the core features I was using existed in all of them. I liked more in Kibana how you can easily create dashboards, charts, and reports without the need to be a tech person.

Incentivized

NodeXL is userfriendly, and needed for conducting advanced data analysis techniques which emphasizes the metrics of the visualization NodeXL produce an interesting interactive visualisation

• Issues that affect checkout experiences for customers are able to be prioritized and solved quickly.
• We are able to more efficiently use resources due to the automation of reporting alerts. Decreasing employee resources needed.
• Visualization allows us to quickly share issues and explain to coworkers in order to escalate issues that can cost our bottom line.

Incentivized

• More advance in analysis data
• Attract more people to collaborate with me
• Minimise the time for analysing the data