Document data structures in MongoDB

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Discover document schema in MongoDB

With a few clicks you can discover collections and document structures in your MongoDB database in a clear tabular view. Schema is discovered from sampling documents and MongoDB Schema Validation.

Describe and visualize document references

MongoDB allows for document references, much like foreign keys in relational databases. What it does not allow is the documentation of those relationships, so you just simply must know how it works. Dataedo allows you to capture that knowledge in structured form, visualize using diagrams, and share across entire organization.

Describe document structure and fields

Capture knowledge about data stored in MongoDB by allowing your team to describe each document and field.

Share documentation in HTML

Share completed documentation in convenient, interactive, searchable HTML documents.

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Central repository or file

Build a central repository of information about all your databases (not only MongoDB) in central share metadata repository, or a simple file on your disk.

Find and tag sensitive information

With a built in GDPR, PII data search and classification functions you can quickly find and tag sensitive data in your MongoDB databases.

Describe references across data platforms

Having all databases in one repository/file, you can define relationships across your organization’s entire data entire landscape.

Map documents and fields to business glossary

You can add additional meaning to the data stored in your databases with an organization wide business glossary. You can find all data assets (collections, tables, columns, embedded documents, and fields) related to certain business term, entity, or metric.

Why document data structures in MongoDB

Unlock data from your MongoDB databases for everyone

Allow all data users to find, understand and use data in MongoDB quickly. Facilitate data analytics, data science, BI and data warehousing.

Avoid guess work, save time, and reduce errors

Understanding data structures means less guess work, repeating the same work, incorrect assumptions and errors, and time.

Gather tribal knowledge

Capture and preserve tribal knowledge within your organization. Embrace culture of sharing of knowledge.

Allow your data teams to grow rapidly

Speed up and self-service onboarding of new people to your data team and save your data gurus from countless hours of training and answering questions to new hires.

Empower business users

Allow even business users to have a grasp of data stored in your MongoDB databases, even if they have no clue what JSON is.

[WEBINAR] From Schema Design to Schema Discovery in MongoDB

Watch a recording of Dataedo Expert Webinar with MongoDB expert - Daniele Graziani, Consulting Engineer at MongoDB, and learn about the backward world of schema in MongoDB. Daniele will share his experience from years of advising customers on implementation, transition to, and querying of their MongoDB databases.

Discover and document your MongoDB schema today

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Discover, Visualize, Document and Share MongoDB Schema