MongoDB collections, finally documented

MongoDB Visual Schema Explorer and Database Client

DbSchema samples the documents in each collection, infers the real structure — fields, types, nested objects — and draws it as a diagram your team can explore, refine, and publish.

  • Infer collection structure from live document samples, nested objects included
  • Lay collections and references out on diagrams you can annotate and save
  • Browse and filter documents with no find() or aggregate() required
  • Publish the inferred model as HTML documentation the whole team shares
available for ISO-27001 certified ISO-27001 certified
Free Community Edition No signup required 15-day Architect trial included
Free Download
DbSchema visualizing MongoDB collections and their structure
100+ Databases
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"Schema-less" Never Meant
Your Data Has No Structure

MongoDB happily stores whatever shape the application writes — which is exactly why, two years in, nobody can say what a customer document actually contains. The structure exists; it just lives implicitly, scattered across millions of documents.

DbSchema samples those documents, infers the fields, types, and nested shapes, and draws the result as a diagram your team can finally look at.

Explore, Query & Document MongoDB
from One Visual Workspace

From the first sampled collection to published documentation, without a shell window in sight.

Infer MongoDB collection structure from sampled documents
Infer the Schema from the Documents

DbSchema analyzes a configurable sample per collection and maps scalar fields, arrays, embedded objects, and ObjectId references — showing which fields are consistently populated and which are sparse.

Arrange MongoDB collections on visual diagrams
Put Collections on a Diagram

Arrange collections and their references into layouts you can annotate, save, and hand to the next person who asks how the data fits together.

Build MongoDB queries visually in DbSchema
Compose Queries by Clicking

Pick the collection, add filter conditions and projections visually, and validate the results in a paginated grid next to the raw document view.

Browse MongoDB documents in the data explorer
Read the Data Without the Shell

Filter on any inferred field, page through large collections, and drill into nested subdocuments — no query documents written by hand.

Generate HTML5 documentation for MongoDB collections
Turn the Inferred Model into Team Docs

Export interactive HTML5 documentation of collections, fields, and references, so developers and analysts read one shared description of the data.

Model MongoDB alongside relational databases
One Workflow, SQL and NoSQL

Keep MongoDB in the same tool as the relational databases beside it, with one modeling workflow across everything you run.

Give the flexible schema a fixed reference point.

The Cluster Holds the Documents
The Model Holds the Structure

MongoDB enforces no schema, so DbSchema keeps one for you — a model file that captures the structure, travels with your code, and stays readable when the cluster is out of reach.

Explore the MongoDB model offline
Explore Offline

The inferred model opens without a connection to the cluster.

Track MongoDB structure changes in Git
Track Structure Drift

Commit the model to Git and structural change shows up as a diff.

Plan MongoDB structure changes on the model
Plan Before You Depend

Design structure updates on the model before applications rely on them.

Share one MongoDB structure reference with the team
Share One Reference

Developers and analysts consult the same documented structure.

Structure Changes,
Reviewed Like Code

The model file records collections, fields, and references. Keep it in Git and every structural decision gets a diff, a reviewer, and a date — even though the database itself enforces none of it.

MongoDB model synchronization between Git and the cluster
Read Git Workflow Docs

Collections, Fields, and References
Documented for Everyone

Export the inferred model as interactive HTML5 documentation — searchable diagrams with field types and comments that open in a browser. The team stops asking "what does this document look like?" because the answer has a URL.

Explore the Documentation Tool

Interactive HTML5 documentation generated from a MongoDB model

Plain-English Help with Queries and Structure

Ask the AI Assistant for the query you need or an explanation of the structure you inherited. It works from your own model, so the answers name your collections and fields rather than inventing examples.

See What the AI Assistant Can Do

DbSchema AI assistant answering questions about a MongoDB model

Watch: MongoDB Structure
Made Visible

The MongoDB visual designer, documentation, and validation rules (6 min).

DbSchema connects through a JDBC bridge using its open-source MongoDB JDBC driver, whose source lives on GitHub. The default port is 27017: use mongodb://host:27017/dbname for a self-hosted instance, or the SRV form mongodb+srv://cluster.mongodb.net/dbname with your Atlas credentials — after adding the client IP to the Atlas Network Access allowlist. On connect, DbSchema samples documents and builds the inferred diagram automatically.

DbSchema and MongoDB Compass

MongoDB Compass is MongoDB's official free GUI and a great way to inspect a single cluster; DbSchema is the better fit when MongoDB sits among several databases you manage, or when the inferred structure needs to become shared, versioned team documentation.

DbSchema MongoDB Compass
Supported databases MongoDB plus 100+ SQL and NoSQL engines MongoDB
Schema discovery Sampled inference rendered as an editable diagram Per-collection schema analysis tab
Visual diagrams of collections and references Yes — layouts you can arrange, annotate, and save —
Offline model versioned in Git Yes (Pro) —
HTML documentation export Yes — interactive HTML5 docs (Pro) —
Aggregation pipeline builder Visual query builder for common queries Yes — dedicated pipeline UI
Price Free Community edition; paid Pro with 15-day trial Free

Reflects typical Compass usage at the time of writing; consult MongoDB's documentation for current capabilities.

See What Your Collections Really Contain

Connect to a cluster or Atlas and get an inferred diagram in minutes — free, no signup.

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Tutorials and guides

Frequently asked questions

DbSchema focuses on visual structure exploration, documentation, and team-friendly schema views rather than strict relational modeling.

Compass is MongoDB's official GUI for exploring a single cluster. DbSchema adds editable diagrams of collections, an offline model you can version in Git, HTML documentation export, and the same workflow across 100+ SQL and NoSQL databases.

No. DbSchema samples documents from each collection and infers the structure automatically, including nested objects and field types.

Yes. Generate HTML documentation from your connected model so developers and analysts share the same reference.

No. Download the desktop app and connect to a local or remote MongoDB instance; no DbSchema account is required.

Teams working with MongoDB often use these engines too. Explore dedicated guides and JDBC setup for each.

Browse all 100+ supported databases