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.
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.
Capture knowledge about data stored in MongoDB by allowing your team to describe each document and field.
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.
With a built in GDPR, PII data search and classification functions you can quickly find and tag sensitive data in your MongoDB databases.
Having all databases in one repository/file, you can define relationships across your organization’s entire data entire landscape.
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.
Allow all data users to find, understand and use data in MongoDB quickly. Facilitate data analytics, data science, BI and data warehousing.
Understanding data structures means less guess work, repeating the same work, incorrect assumptions and errors, and time.
Capture and preserve tribal knowledge within your organization. Embrace culture of sharing of knowledge.
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.
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.