Atlas-DB vs Pome: What are the differences?
Developers describe Atlas-DB as "Backend for managing dimensional time series data, by Netflix". Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly. On the other hand, Pome is detailed as "Postgres monitoring dashboard". Pome stands for Postgres Metrics. Pome is a PostgreSQL Metrics Dashboard to keep track of the health of your database. This project is at a very early stage and there are a lot of missing features, but I'm hoping to be able to make the project progress quickly.
Atlas-DB and Pome can be categorized as "Database" tools.
Atlas-DB and Pome are both open source tools. It seems that Atlas-DB with 2.4K GitHub stars and 204 forks on GitHub has more adoption than Pome with 1.07K GitHub stars and 41 GitHub forks.