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mongodb

A highly efficient, enterprise-grade MongoDB document database CRUD wrapper and state-routing backend client for the collaborative CoCreate ecosystem. This wrapper exposes MongoDB's native, highly flexible JSON-based document storage capabilities directly to CoCreate's unified state-routing infrastructure.

Documentation

For a complete guide and working integration examples, refer to the CoCreate MongoDB Documentation.


Table of Contents


The Power of the CoCreate Unified Ecosystem

This is not just another database driver. By wrapping MongoDB into the CoCreate state-routing pipeline, you unlock the full power of a multi-cloud, multi-model data orchestration mesh:

  • Unified JSON Interface (MongoDB-like Syntax): Because CoCreate's data-routing abstraction layer natively speaks a MongoDB-influenced query language, this wrapper offers zero structural translation overhead for standard NoSQL JSON CRUD operations (such as object.create or object.read).
  • Parallel Multi-Database Writing: Write to many target databases simultaneously with a single API call. You can stream transactional data to MongoDB (for native operational document persistence), vectorize it into Qdrant (for real-time semantic search), and persist it in MariaDB (for enterprise relational warehousing) in perfect parallel harmony:

$$\text{Write Command} \xrightarrow{\text{Parallel Mesh}} \begin{cases} \text{MongoDB} & \text{(ACID Transaction Store)} \ \text{Qdrant} & \text{(Semantic Vector Search)} \ \text{MariaDB} & \text{(Enterprise Relational Core)} \end{cases}$$

  • Dynamic State-Routing: Isolate multi-tenant environments effortlessly. The routing mesh automatically injects tenant metadata and organization boundaries, ensuring isolated database processing within your shared MongoDB cluster infrastructure.

Why MongoDB?

MongoDB is the leading document database designed for modern application developers and the cloud era. By storing data in flexible, JSON-like BSON documents, it maps naturally to application code and objects. It features powerful indexing, ad-hoc queries, real-time aggregation frameworks, and fully distributed horizontal scaling out of the box.

By using MongoDB as a core anchor inside your CoCreate mesh, you achieve lightning-fast operational reads, rich document schemas, and native database compatibility across any complex cloud environment.


Installation

NPM Installation

npm i @cocreate/mongodb

Yarn Installation

yarn add @cocreate/mongodb

Unified JSON Payload Examples

Here are the complete, real-world JSON objects representing raw payloads routed through the CoCreate system. By declaring an array in the storage key, CoCreate fires the write operations to all specified backends simultaneously in parallel.

1. Writing a Full Transaction Object (object.create)

When this operational payload is sent, CoCreate registers it, processes the nested JSON fields, and automatically warehouses it across all listed parallel storage platforms.

{
  "method": "object.create",
  "storage": ["mongodb", "qdrant", "mariadb"], // Array of storages to store in parallel!
  "database": "sales_analytics",
  "array": "order_events",
  "object": {
    "_id": "order_77c8f2a9_3b01",
    "customer": {
      "id": "cust_88301",
      "email": "customer@example.com",
      "region": "North America",
      "acquisition_channel": "Google Search"
    },
    "transaction": {
      "payment_method": "Credit Card",
      "currency": "USD",
      "subtotal": 249.99,
      "discount": 15.00,
      "tax": 18.80,
      "total": 253.79
    },
    "items": [
      {
        "product_id": "prod_head_009",
        "name": "Wireless Noise-Cancelling Headphones",
        "category": "Electronics",
        "quantity": 1,
        "unit_price": 199.99
      },
      {
        "product_id": "prod_stand_012",
        "name": "Aluminum Headphone Stand",
        "category": "Accessories",
        "quantity": 2,
        "unit_price": 25.00
      }
    ],
    "shipping": {
      "carrier": "FedEx",
      "service": "2-Day Air",
      "estimated_delivery": "2026-07-20T12:00:00.000Z"
    }
  },
  "organization_id": "org_enterprise_99x",
  "user_id": "usr_sales_runner_402",
  "timeStamp": "2026-07-18T18:40:43.000Z"
}

2. Reading and Filtering Warehoused Data (object.read)

Querying targets a single database engine via a string filter syntax. The query below retrieves high-value orders handled by a specific shipping carrier from MongoDB, sorting them by total sale volume.

{
  "method": "object.read",
  "storage": "mongodb",
  "database": "sales_analytics",
  "array": "order_events",
  "$filter": {
    "query": {
      "transaction.total": { "$gte": 100.00 },
      "shipping.carrier": "FedEx"
    },
    "sort": [
      { "key": "transaction.total", "direction": "desc" }
    ],
    "limit": 50,
    "index": 0
  },
  "organization_id": "org_enterprise_99x"
}

Announcements

All updates to this library are documented in our CHANGELOG and releases. You may also subscribe to email for releases and breaking changes.


Roadmap

If you are interested in the future direction of this project, please take a look at our open issues and pull requests. We would love to hear your feedback.


How to Contribute

We encourage contribution to our libraries (you might even score some nifty swag), please see our CONTRIBUTING guide for details.

We want this library to be community-driven, and CoCreate led. We need your help to realize this goal. To help make sure we are building the right things in the right order, we ask that you create issues and pull requests or merely upvote or comment on existing issues or pull requests.

We appreciate your continued support, thank you!


About

CoCreate-mongodb is guided and supported by the CoCreate Developer Experience Team.

Please Email the Developer Experience Team here in case of any queries.

CoCreate-mongodb is maintained and funded by CoCreate. The names and logos for CoCreate are trademarks of CoCreate, LLC.

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