Overview

Amazon DocumentDB is AWS's MongoDB-compatible managed document database. The Automize DocumentDB connector covers cluster + instance management, snapshots, and basic CRUD operations.

Regions: Regional. Clusters span 3 AZs by default for HA.
Plans: Pay-per-instance-hour + storage. MongoDB 3.6, 4.0, 5.0 compatibility.

Setting up the connection

Auth type: aws_sigv4.

AWS IAM → user + AmazonDocDBFullAccess.
Cluster needs master username + password for connection (not just IAM).
In Automize → Settings → Connectors → AWS DocumentDB. Paste keys + region.

Find your credentials at https://us-east-1.console.aws.amazon.com/iam/home.

Rate limits

Per-region API limits – generous. Cluster query throughput depends on instance size + replication factor.

Data model

MongoDB-compatible:

    Cluster ─── Instances (1 primary + N replicas)
            ├─ Databases ─── Collections ─── Documents
            └─ Snapshots

Available operations

11 operations available. Click any row to jump to its detail.

Operation	Category	What it does
Aggregate	General	Run an aggregation pipeline
Count Documents	General	Count documents matching a filter
Delete Many	General	Delete all documents matching a filter
Delete One	General	Delete a single document matching a filter
Find Documents	General	Find documents matching a filter
Find One Document	General	Find a single document matching a filter
Insert Many	General	Insert multiple documents
Insert One	General	Insert a single document
List Collections	General	List all collection names in the database
Update Many	General	Update all documents matching a filter
Update One	General	Update a single document matching a filter

Operations

Aggregate

Run an aggregation pipeline

Parameter	Required	Type	Description
Collection `collection`	Yes	text
Pipeline `pipeline`	Yes	textarea

Count Documents

Count documents matching a filter

Parameter	Required	Type	Description
Collection `collection`	Yes	text
Filter `filter`	No	textarea

Delete Many

Delete all documents matching a filter

Parameter	Required	Type	Description
Collection `collection`	Yes	text
Filter `filter`	Yes	textarea

Delete One

Delete a single document matching a filter

Parameter	Required	Type	Description
Collection `collection`	Yes	text
Filter `filter`	Yes	textarea

Find Documents

Find documents matching a filter

Parameter	Required	Type
Collection `collection`	Yes	text
Filter `filter`	No	textarea
Projection `projection`	No	textarea
Limit `limit`	No	number
Sort `sort`	No	textarea

Find One Document

Find a single document matching a filter

Parameter	Required	Type
Collection `collection`	Yes	text
Filter `filter`	No	textarea
Projection `projection`	No	textarea

Insert Many

Insert multiple documents

Parameter	Required	Type	Description
Collection `collection`	Yes	text
Documents `documents`	Yes	textarea

Insert One

Insert a single document

Parameter	Required	Type	Description
Collection `collection`	Yes	text
Document `document`	Yes	textarea

List Collections

List all collection names in the database

No input parameters.

Update Many

Update all documents matching a filter

Parameter	Required	Type
Collection `collection`	Yes	text
Filter `filter`	Yes	textarea
Update `update`	Yes	textarea
Upsert `upsert`	No	switch

Update One

Update a single document matching a filter

Parameter	Required	Type
Collection `collection`	Yes	text
Filter `filter`	Yes	textarea
Update `update`	Yes	textarea
Upsert `upsert`	No	switch

FAQ

DocumentDB vs MongoDB Atlas?: DocumentDB: MongoDB-API-compatible but separate codebase, AWS-managed, lower control. Atlas: real MongoDB, multi-cloud, more features. Use DocumentDB if you're all-in on AWS + compatibility is good enough.
Why isn't aggregation pipeline X working?: DocumentDB lacks some MongoDB operators ($lookup limitations, some text search). Check AWS compatibility docs.

AWS DocumentDB integration