The real benefit comes when you can generate large, if not massive, amounts of test data, for general testing, as well as performance, and even load testing. Using synthetic data can be useful during system development, testing, and demos. Hackolade Studio allows you to generate fake but realistic data for your data models. Hackolade Studio also provides assistance in handling In-Use Encryption, also known as Client-Side Field-Level Encryption, a connection method allowing you to encrypt a subset of fields in your collections. You may also build indexes with the handy assistance of forms pre-configured to support all the indexing capabilities of MongoDB, then automatically generate the script without requiring knowledge of the necessary syntax. The tool automatically generates the $jsonschema validation script and allows you to apply it directly to the instance if you have the proper rights, or export the script so it can be applied by a DBA after review. With Hackolade Studio, it is easy to leverage MongoDB's schema validation capabilities. But it also includes many ways to ensure data quality, consistency, and governance. Out of the box, MongoDB is a schemaless database. Hackolade Studio works seamlessly with MongoDB instances installed locally, self-hosted on-premises or in the cloud, or of course MongoDB Atlas. Many additional features have been developed to help data modelers. In addition to the script creation to facilitate development, the HTML documentation provides a rich, human-readable report that includes diagrams, collections, relationships and all their metadata. Outputs of a Data Modeling Tool for MongoDB To leverage the recent introduction of the validator with support for JSON Schema, the data model is the ideal place to store the business rules and constraints to limit inconsistencies and inaccuracies in the data, so this validator can enforce them thanks to a script generator. With complex application developed by large teams, it becomes a challenge to insure consistent ways to store data. This can be supplemented with detailed descriptions and a log of team comments gathered as the model adapts over time for the schema evolution.ĭata Governance for Unstructured and Semi-Structured Data Hierarchical View of Nested ObjectsĪ data model is described with definitions of properties and constraints for each collection and field. However, data itself contains relationships, and an ER Diagram provides a visualization of these relationships. MongoDB is a non-relational NoSQL database technology, since relationships are not enforced by the database engine. The future queries and data representation in the application screens are the main drivers for the design of a data model.Īn ER diagram displays JSON object nesting and illustrates the embedding and denormalization necessary for the scale and performance of the application. The simplest way to visualize a schema is to present it in an Entity-Relationship Diagram, a sort of blueprint of the foundations of an application, showing a map of the data. It gives teams more control over their data by providing powerful data modeling, cataloging, and documentation capabilities." Hackolade is used by many additional references. The MongoDB Schema Design tool supports several use cases to help enterprises manage their databasesĪccording to Alan Chhabra, VP of Worldwide Partners at MongoDB: "We’ve seen time and again how Hackolade can improve application quality and time to market for developers. The visualization tool also generates HTML documentation of the database schema which serves as a platform for dialog between analysts, designers, architects, developers, and DBAs. View sample documentation Schema Visualization It also derives MongoDB schemas based on the reverse-engineering of existing instances, so a data modeler or information architect can enrich the model with descriptions, properties, and constraints. Hackolade Studio is a MongoDB schema design software that dynamically generates scripts as you visually build a data model in a forward-engineering use case. Written as a visual editor for JSON Schema, Hackolade Studio is built from the ground-up to leverage the flexibility of JSON nested objects and polymorphism. Hackolade pioneered the field of data modeling for NoSQL databases when it developed a visual tool to perform the schema design of JSON structures.
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