![]() Metabase with 15.6K GitHub stars and 2.09K forks on GitHub appears to be more popular than Kibana with 12.4K GitHub stars and 4.81K GitHub forks.Īccording to the StackShare community, Kibana has a broader approval, being mentioned in 908 company stacks & 481 developers stacks compared to Metabase, which is listed in 84 company stacks and 17 developer stacks. Kibana and Metabase are both open source tools. "Easy to setup" is the primary reason why developers consider Kibana over the competitors, whereas "Database visualisation" was stated as the key factor in picking Metabase. Kibana belongs to "Monitoring Tools" category of the tech stack, while Metabase can be primarily classified under "Business Intelligence". You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating. Metabase is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. What is Metabase? An open-source business intelligence tool. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch. In February 2022 the company introduced a preview of its support for vector embeddings, enabling the Elasticsearch technology to act like a vector database, which is a critical part of the AI. Kibana is a snap to setup and start using. Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. What is Kibana? Explore & Visualize Your Data. Even you can get the ability of custom services from Helical Insight team directly at very affordable costs.Kibana vs Metabase: What are the differences?
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