Understanding Your Amazon DocumentDB Collections Visually

Connect DbSchema to Amazon DocumentDB and turn the live schema into an editable visual model: explore relationships in interactive ER diagrams, plan changes on the canvas, and generate reviewed SQL scripts for deployment.

The workflow is designed for visual modeling, schema documentation, and deployment — keep an offline model in Git, collaborate across teams, and publish documentation that developers, analysts, and stakeholders can navigate in minutes.

Download DbSchema See Amazon DocumentDB Features Download Amazon DocumentDB JDBC Driver · All drivers

Amazon DocumentDB is AWS's managed MongoDB-compatible document database, designed for teams that need the MongoDB API without the operational burden of running their own replica set. Because DocumentDB collections are schema-flexible, understanding what fields actually exist in your data requires sampling documents — not reading a DDL file. DbSchema connects via the MongoDB JDBC driver, samples each collection to infer field names and BSON types, and renders the result as a navigable schema diagram.

Infer and Visualize Collection Schemas

DocumentDB collections don't enforce a fixed structure, so DbSchema samples a configurable number of documents per collection to discover the fields in active use. Inferred field names and their detected types are displayed in the diagram canvas, giving you a visual map of the document model without writing a single aggregation pipeline.

Download DbSchema Free See Amazon DocumentDB Features

Run MongoDB-Compatible Queries Without Writing Application Code

DbSchema's query builder constructs MongoDB-compatible find queries for DocumentDB, letting you filter and project documents interactively. Use it to verify that the document shape your application expects matches what is actually stored, or to explore production data without deploying a temporary script.

Browse Document Data with the Data Explorer

The data explorer displays collection contents in a paginated grid with column-level filtering. This makes it practical to audit documents after a migration, cross-check field values against application expectations, or investigate anomalies in production without any custom tooling.

Connect DbSchema to an Amazon DocumentDB Cluster

Because DocumentDB clusters run inside a VPC, a few preparation steps come before the connection itself:

1. Install DbSchema — the desktop download requires no account to get started.
2. Download the global-bundle.pem TLS certificate from the AWS documentation; DocumentDB requires TLS and rejects connections that omit the CA file.
3. Set up either an SSH tunnel through a bastion host or a public-facing cluster endpoint, since DocumentDB is not reachable directly from outside AWS.
4. Register the MongoDB JDBC driver in DbSchema's driver manager, then paste the connection URI — mongodb://username:[email protected]:27017/dbname?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0 — into the connection dialog, using DocumentDB's default MongoDB wire protocol port 27017.
5. Connect — DbSchema samples the collections and displays the inferred schema as a diagram.

Why Use DbSchema with Amazon DocumentDB

• Infer collection schemas by sampling documents — no manual DDL required
• Visualize nested fields and array types in an ER-style diagram canvas
• Run ad-hoc MongoDB-compatible queries without writing application code
• Generate schema documentation for architecture reviews and team onboarding
• Compare inferred schemas across environments to detect unintended field drift

Want to know exactly what fields live inside your DocumentDB collections? Download DbSchema free and turn sampled documents into a navigable schema diagram.

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