I'm exploring the use of JDBC to connect Kibana(bypassing Elastic) directly to MySQL. This would help us overcome the challenge of joining data from different indices in Elasticsearch. I'd appreciate any guidance, tips, or insights from the community.
I would greatly appreciate any guidance, insights, or tips from the community regarding this endeavor. If you have experience with setting up a JDBC connection in Kibana, or if you have suggestions on best practices, potential challenges, or alternative approaches, please do share your knowledge.
Can you provide some context of what you mean with bypassing Elastic?
Kibana is the visualization and management tool of the Elastic Stack, it does not store any data, all data is stored in Elasticsearch and Kibana reads from it.
Thanks for the KT. But Elastic search does not allow us to join two different indexes and that's why I was trying to connect MYSQL directly to Kibana. Could you please guide me, on how to join two different indexes in Elasticsearch or how to get the data from the two different indexes in a single visualization?
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