Elasticsearch and Kibana users can now easily migrate to Azure Data Explorer (ADX) while keeping Kibana as their visualization tool, alongside the other Azure Data Explorer experiences and the powerful KQL language. A new version of K2Bridge (Kibana-Kusto free and open connector) now supports dashboards and visualizations, in addition to the Discover tab which was previously supported.
Along with visualizing and creating dashboards, the new version also offers:
Support of Kibana version 7.10.2, for an improved user experience.
Improved filtering of Kusto's dynamic data type
Enhanced security - it is now possible to authorize the Azure Data Explorer cluster with a system-assigned managed identity, in addition to the previously supported Azure Active Directory (Azure AD) service principal method.
To learn more about Elasticsearch to Azure Data Explorer migration, visit this blog post.
Kibana dashboard, on top of ADX, with K2Bridge
With Kibana's Discovertab, you can search and explore the data, filter results, add or remove fields in the results grid, view record content, and save searches.
Now, you can create bar charts visualizations by using the Visualizebutton on the 'top 5 values' pop-up.
You can adjust the metrics (Y-axis) and buckets aggregation (x-axis) from the menu.
Alternatively, you can use the Visualize tab to create other visualizations like Vertical bar, Area chart, Line chart, Horizontal bar, Pie chart, Gauge, Data table, Heat map, Goal chart, and Metric chart. After creating visualizations, you can use them to build dashboards. Some examples: