SynthForge IO

Generate MongoDB Test Data

Generate production-ready MongoDB datasets with automatic document nesting, mongoimport-ready JSON arrays, and insertMany scripts, ready to load in seconds.

Embedded documentsmongoimportJSONL exportinsertManyNesting controlM:N relationships
Generate MongoDB Data

MongoDB output preview

Here's what SynthForge IO generates for MongoDB, ready to import.

mongodb-output.json 
// mongoimport-ready JSON array (--jsonArray)
[
  {
    "id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
    "name": "Acme Corp",
    "email": "contact@acme.com",
    "tier": "enterprise",
    "orders": [
      {
        "id": "f9e8d7c6-b5a4-3210-fedc-ba0987654321",
        "total": 1249.99,
        "status": "shipped",
        "items": [
          { "sku": "WDG-4421", "name": "Widget Pro", "qty": 5 },
          { "sku": "GDG-1187", "name": "Gadget Mini", "qty": 12 }
        ]
      }
    ]
  }
]

// Import: mongoimport --db test --collection customers \
//         --file customers.json --jsonArray

Built for MongoDB

Every export is optimized for MongoDB's document model, nesting conventions, and import tools.

Automatic Document Nesting

Foreign key relationships are automatically converted into embedded documents. Child tables become nested arrays inside their parent documents.

mongoimport-Ready JSON

Exported JSON arrays work directly with mongoimport --jsonArray. No reformatting or transformation needed. Just point and load.

insertMany Script

Each export includes an IMPORT_MONGODB.js mongosh script with insertMany() calls, ready to run in the MongoDB shell.

JSONL Per-Entity Export

Each collection gets its own JSONL file (one document per line), ideal for streaming imports and large dataset processing.

Who uses MongoDB test data?

Node.js / Express Developers

Seed MongoDB collections with realistic nested documents for API development. Embedded documents match how your Mongoose schemas model relationships.

Microservices Teams

Generate isolated datasets for each microservice's MongoDB collection. Embedded documents eliminate cross-service join dependencies.

Real-Time App Developers

Pre-populate MongoDB for chat apps, dashboards, and real-time feeds. Nested documents load in a single read, no joins required.

Automatic Document Nesting

SynthForge IO converts relational schemas into MongoDB's document model. Foreign keys become embedded documents automatically.

FK to Embedded Documents

One-to-many relationships become nested arrays. A customer with orders becomes a single document with an embedded orders array, matching MongoDB best practices.

M:N Relationship Options

Many-to-many relationships support two modes: fully embedded (duplicate data for read speed) or referenced (arrays of UUIDs for normalization).

Custom Nesting Control

Choose which relationships to embed and which to keep as references. Control nesting depth to match your application's query patterns.

UUIDs, Not ObjectIds

Documents use standard UUIDs for identifiers instead of MongoDB ObjectIds, making data portable across databases and easier to work with in application code.

Also available for

PostgreSQL

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MySQL

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SQL Server

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SQLite

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Frequently asked questions

What format does SynthForge IO export for MongoDB?
SynthForge IO exports mongoimport-ready JSON arrays (compatible with --jsonArray flag), JSONL files (one document per line per collection), and an IMPORT_MONGODB.js mongosh script with insertMany() calls. All formats are ready to load without transformation.
How does document nesting work?
When your schema has foreign key relationships, SynthForge IO automatically embeds child records as nested arrays inside parent documents. For example, if orders reference customers, each customer document gets an embedded orders array. You can control which relationships embed and which use ID references.
How do I import the generated data into MongoDB?
Three options: (1) mongoimport --db mydb --collection mycol --file data.json --jsonArray, (2) run the included IMPORT_MONGODB.js script with mongosh, or (3) use the JSONL files with mongoimport's default line-delimited mode.
Does it use ObjectIds or UUIDs?
SynthForge IO uses standard UUIDs for document identifiers, not MongoDB ObjectIds. UUIDs are database-agnostic and easier to work with in application code. If you need ObjectIds, you can convert them after import.
How are many-to-many relationships handled?
M:N relationships support two modes: embedded (the full related document is nested inline for fast reads) or referenced (an array of UUIDs pointing to documents in another collection for normalization). Choose the mode that matches your query patterns.

Start Generating MongoDB Test Data

Design your schema, configure field types, and export production-ready MongoDB documents in seconds.

Generate MongoDB Data