Atlas-DB vs Pg_timetable: What are the differences?
Atlas-DB: 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; Pg_timetable: PostgreSQL Job Scheduling. It is an advanced job scheduler for PostgreSQL, offering many advantages over traditional schedulers such as cron and others. It is completely database driven and provides a couple of advanced concepts.
Atlas-DB and Pg_timetable can be categorized as "Database" tools.
Some of the features offered by Atlas-DB are:
- Manages dimensional time series data
- In-memory data storage
- Captures operational intelligence
On the other hand, Pg_timetable provides the following key features:
- Tasks can be arranged in chains
- A chain can consist of SQL and executables
- Parameters can be passed to chains
Atlas-DB is an open source tool with 2.58K GitHub stars and 214 GitHub forks. Here's a link to Atlas-DB's open source repository on GitHub.