DatAasee - A Metadata-Lake
DatAasee is an open-source metadata-lake, functioning as a metadata aggregator of distributed data-sources in libraries. It instantiates a data space and provides a FAIR-compliant metadata-layer for repositories. Its data architecture is a data-lake which is its own metadata catalog, hence a metadata-lake, with an underlying graph data model. Internally, DatAasee is realized as a three tier software architecture, where each tier is encapsulated in its own container. The inner data-tier is a multi-model NoSQL database ArcadeDB. The middle logic-tier is an (HTTP-JSON-REST) API-server and semantic-layer around the database realized via Connect (aka Benthos). The outer presentation-layer uses Lowdefy as a prototype frontend which exclusively uses the API. This multi-container application is deployed and orchestrated via Compose. For in-depth explanations, see the open-access white paper: "DatAasee -- A Metadata-Lake as Metadata Catalog for a Virtual Data-Lake".

DatAasee is an open-source metadata-lake, functioning as a metadata aggregator of distributed data-sources in libraries. It instantiates a data space and provides a FAIR-compliant metadata-layer for repositories. Its data architecture is a data-lake which is its own metadata catalog, hence a metadata-lake, with an underlying graph data model.
Internally, DatAasee is realized as a three tier software architecture, where each tier is encapsulated in its own container. The inner data-tier is a multi-model NoSQL database ArcadeDB. The middle logic-tier is an (HTTP-JSON-REST) API-server and semantic-layer around the database realized via Connect (aka Benthos). The outer presentation-layer uses Lowdefy as a prototype frontend which exclusively uses the API. This multi-container application is deployed and orchestrated via Compose.
For in-depth explanations, see the open-access white paper: "DatAasee -- A Metadata-Lake as Metadata Catalog for a Virtual Data-Lake".