Ambari vs Kibana: What are the differences?
Ambari: A software for provisioning, managing, and monitoring Apache Hadoop clusters. This project is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Apache Hadoop clusters. It provides an intuitive, easy-to-use Hadoop management web UI backed by its RESTful APIs; Kibana: Explore & Visualize Your Data. Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.
Ambari and Kibana can be categorized as "Monitoring" tools.
Some of the features offered by Ambari are:
- Ambari Python Libraries
- Automated Kerberizaton
On the other hand, Kibana provides the following key features:
- Flexible analytics and visualization platform
- Real-time summary and charting of streaming data
- Intuitive interface for a variety of users
Kibana is an open source tool with 12.6K GitHub stars and 4.89K GitHub forks. Here's a link to Kibana's open source repository on GitHub.
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What is Ambari?
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