Kibana vs. Stratifyd

Kibana is indeed a powerful tool and has many use cases especially in environments that rely heavily on real-time log analysis and visualisation. Kibana’s ability to handle large volumes of log data and present it in an accessible, searchable format is invaluable. We use Kibana to monitor security related issues and it proactively alerts our Slack channels about any anomality or issues.

Incentivized

Organizing the data sets is easy and logical. Slicing and dicing of data functionality can be easily performed and is intuitive. Possibility to perform multiple analysis with a single dataset. Data can be easily adjusted even for a non-technical person. Easy navigation. Adjusting of datasets is very intuitive and quickly.

Incentivized

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

Incentivized

• Topic generation
• Customizing process flows
• Slice & dice data

Incentivized

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

Incentivized

• User interface
• Text analytics
• Segmentation setup

Incentivized

Its usability is generally good and it provides teams with a basic to intermediate understanding about data visualization. It is very user-friendly when it comes to creating dashboards. The UI is very good and simple. Its integration with other tools for alerting and reporting is amazing. But its advance features have a learning curve and a first timer needs some time to use the advance features.

Incentivized

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

Incentivized

Kibana is free; it was the first and only thing we've tried in this area.

Incentivized

• 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

• Multiple analysis
• Slice & dice of data
• Customizing data models

Incentivized