Kibana vs M3: What are the differences?
Developers describe Kibana as "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. On the other hand, M3 is detailed as "Open source metrics platform built on M3DB, a distributed time-series database by Uber". A Prometheus and Graphite compatible metrics platform which includes a native distributed time series database, a highly dynamic and performant aggregation service, query engine and other supporting infrastructure.
Kibana and M3 can be categorized as "Monitoring" tools.
Some of the features offered by Kibana are:
- Flexible analytics and visualization platform
- Real-time summary and charting of streaming data
- Intuitive interface for a variety of users
On the other hand, M3 provides the following key features:
- Prometheus Integration
- Graphite Integration
- Scalable Clusters (up to billions of metrics)
Kibana and M3 are both open source tools. Kibana with 12.4K GitHub stars and 4.81K forks on GitHub appears to be more popular than M3 with 1.95K GitHub stars and 162 GitHub forks.
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