Yes, we essentially have three components: the serving layer, the orchestrator, and the metadata layer.
All three of these work across different infrastructure by design. We already have users who use Google Cloud services like BigQuery for experimentation and DynamoDB on AWS for serving in productions.
The data mesh analogy is interesting. In a way, we're an applied form of data mesh, as opposed to a theoretical argument for it. By separating the abstraction/workflow layer from the data infra layer, you can put your data where it makes sense and access it all through featureform's feature store abstraction.
