Let’s have an overview of relationships in this kind of databases. However, we can stretch the concept to fit JSON documents. MongoDB is not a relational database, it is a document store, so traditional ER modeling does not apply. It is a bit more complicated (as always) with the relationships. Dataedo discovered entities and their fields. To create an ER diagram, you need entities (collections) and relationships. When it finishes it creates complete data dictionary for your MongoDB database – list of collections and their attributes organized into hierarchy (documents, fields, arrays, etc.).ĭiscovering and Documenting Relationships samples documents in collections, parses the JSON documents, andĪnd builds data dictionary from that information.When you confirm, Dataedo will perform automatic schema discovery. You can choose collections to import from this list, but you just want to skip this step with Next to import entire schema. Dataedo will connect to your MongoDB database and list collections. When you provide connection details and click Connect. Click it, it will get copied into connection field. If you used MongoDB Compass to connect to your MongoDB instance you will find it in Recents section. If you don’t have it you can ask your admin, developers or anyone who might know. To connect to database click Add in the ribbon and choose Database connection option.Īnd connection type - Values or Connection string. Now that you have installed and configured Dataedo you can connect to your instance of MongoDB. Connect to MongoDB and import Collections File is just a document you can save anywhere. It is more advanced option for multi user environments so if you can’t get your hands on an instance go with the file option. Database is regular SQL Server or Azure SQL database. Repository is a file or database that will hold all the metadata.
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