DbSchema can visualize and model the MongoDb structure as diagrams.
It can create and edit the validation rules, visually build queries, explore the data, generate data and more.
DbSchema has a Free Community Edition.
MongoDB is using validation rules to ensure a given structure of a collection. DbSchema can reverse engineer the validation rules and show them as diagrams. Creating new collections in DbSchema will also implement the validation rules in the database. DbSchema is drawing as diagrams the collections without validation rules by scanning the collection structure for several documents and guessing the fields out of that.
Comments on collections or fields can be added directly in the diagram. The comments will be saved in the collection validation rule and to the model file.
Next HTML5 or PDF documentation can be generated, where the collection and field comments can be read as mouse-over tooltips.
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The MongoDB collection structure including the validation rules are reverse engineer into the DbSchema Model. The model is saved to the file. Advantages:
Explore and edit the data from multiple collections. The collections can relate one with another using virtual relations. Selecting a record in one collection will refresh the children's collections with the matching records.
There is no need to learn the MongoDB query language.
Using the Visual Query Builder for MongoDB you can create native queries for MongoDB, with projections, filters, or aggregate functions.
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DbSchema includes a Query Editor capable to execute native MongoDB queries.
This is a MongoDB client.
The editor features text auto-completion, syntax highlight, execute scripts, and more.
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Developers may need to check queries against a large volume of test data.
The Data Generator can use reverse regular expressions, pre-configured patterns, or values from files.
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DbSchema can compare the database model with other databases or other model files and show the differences.
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In many situations, you may need to execute different tasks, like generate HTML5 documentation or reverse engineer the database structure without visual interaction.
This can be done using Groovy or JS scripts, with full access to DbSchema API.
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Fields that unique identifies a document in a collection (like ObjectId) can be used in other documents to refer to that document.
In DbSchema you can create virtual relations to show this.
Later they can be used in the Relational Data Editor to visualize data from multiple collections simultaneously.
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Build master-detail reports with charts, images, buttons.
They can be executed as stand-alone report server.
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DbSchema can load import in the MongoDB database from various formats, such as CSV, XML, TXT, etc.
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