As you would expect, the code is generated with syntax highlighting, so you can easily inspect it and make modifications, if necessary. Enables you to generate validation scripts for projects and collectionsĪ further noteworthy feature is the advanced code generation that can be applied for projects that include dozens of documents and data as well as for individual collections. If you want to highlight certain parts or perhaps want to make sure you can find the data you need fast, then bear in mind that you can set colors for collections and documents headers, display metadata, descriptions, add notes in HTML, include pictures or display cardinality marks in diagrams, just to name a few enhancement options. Moreover, you can create hierarchical structures and draw manual references among collections. You have total control over the collections and you can customize all fields' specifics. Provides you sorted the collections, you can proceed to specifying the collections for which you want to create a schema along with their embeddable sub-documents. The application features some minimal organization options that enable you to mage the structures of the databases in Projects. The highlight of the program stems from its capability to generate stunning schemas for the data. Allows you to produce a reliable visual design of the database schema ![]() Not only does it pack powerful modeling options, but it can easily generate code for individual collections or projects. Moon Modeler is a tool designed to make the handling of the large amount of documents and data in MongoDB and Mongoose more convenient. While MongoDB provides a document-based data model capable of storing documents and other arrays in a flexible, scaling environment, it can be argued that it is still lacking features to help with relational database procedures, such as transaction or join, for instance.
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