Kibana vs. Metabase

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

Metabase is an easy tool to use if you are interested in collecting and aggregating data from multiple platforms. It is also easy to set up and start receiving the data results as a report. It is also easy to integrate with other tools that generate visual reports and take the necessary actions based on the data details.

Incentivized

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

Incentivized

• We're currently using it to fetch reports for our products, such as daily sales, pipeline, visits, and attendance reports.
• Data representation from database directly.

Incentivized

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

Incentivized

• Report Types
• Updates
• Colour/Branding

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

Its generally quite easy to use but some SQL is definitely important

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

It does not stack up against Metabase, they complete each other.

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

• It is serving us whatever we're looking for, and we've recommended many organizations to implement it if they want better data analytics as it provides better functionality than we will build.
• As a negative it gets difficult to get control over data to be fetch initially.

Incentivized