Druid vs Prometheus: What are the differences?
Developers describe Druid as "Fast column-oriented distributed data store". Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations. On the other hand, Prometheus is detailed as "An open-source service monitoring system and time series database, developed by SoundCloud". Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
Druid belongs to "Big Data Tools" category of the tech stack, while Prometheus can be primarily classified under "Monitoring Tools".
"Real Time Aggregations" is the primary reason why developers consider Druid over the competitors, whereas "Powerful easy to use monitoring" was stated as the key factor in picking Prometheus.
Druid and Prometheus are both open source tools. It seems that Prometheus with 25K GitHub stars and 3.56K forks on GitHub has more adoption than Druid with 8.32K GitHub stars and 2.08K GitHub forks.
According to the StackShare community, Prometheus has a broader approval, being mentioned in 244 company stacks & 85 developers stacks; compared to Druid, which is listed in 24 company stacks and 12 developer stacks.
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Red Hat, Inc.
Red Hat, Inc.