Features

• Does not require any change to the source data model(s) (e.g. no need to add a last_updated column)
• Multi-source, with ability to merge or aggregate data, and optionally set merge/aggregation constraints
• Able to handle several data types, with link (foreign keys) between them, and to enforce integrity constraints
• Able to transform data with Jinja filters in configuration files: no need to edit some Python code
• Clean error handling, to avoid synchronization problems, and an optional mechanism of error auto remediation
• Offer a trashbin on clients for removed data
• Insensitive to unavailability and errors on each link (source, message bus, target)
• Easy to extend by design. All following items are implemented as plugins (list of existing plugins):
  • Datasources
  • Attribute filters (data filters)
  • Clients (targets)
  • Messagebus
• Changes to the datamodel are easy and safe to integrate and propagate, whether on the server or on the clients