MongoDB Time Series

MongoDB Time Series Overview

MongoDB Time Series collections (opens in a new tab) offers a highly optimized method for storing time-based data, which is often generated at high volume and velocity in IoT solutions.

Qubitro Storage Function for MongoDB Time Series forwards either raw or processed data directly into predefined MongoDB Time Series collections.


  • Active Qubitro account on the Enterprise plan
  • MongoDB Atlas account with a cluster that supports Time Series collections.
  • MongoDB Credential

Add to the Access List Entry or IP Access List on MongoDB Atlas.

Reserved keys

The time key is reserved and will be ignored by the function.

Configuring the Storage Function

Select a device that you want to create a function for and navigate to the detail page. Click on the Functions tab, then, click on the Create function button.

Choose MongoDB Time Series from the list.

Storage Function List

Configure function basics

Choose the MongoDB Credential and provide basic information for the function including name and description and click on Next.

Storage Function Configutration MongoDB Time Series Basics

Configure MongoDB options

Provide the required information including database, collection, Timefield and Metafield (optional) and click on Done. The provided information must match the configuration on MongoDB Atlas.

Storage Function Configutration MongoDB Time Series Config

Verify the incoming data

In this example, the following data is published to the Qubitro with an HTTP data source.

  "Pressure_PSI": 55.29,
  "Temperature_Celsius": 15.62,
  "battery_level": 3.29406,
  "firmware_version": 6,
  "node_id": 0,
  "reserve_byte": 0,
  "rssi": 100,
  "time": "2023-10-25T07:49:00.673679Z",
  "transmission_count": 72,
  "type": 26,
  "is_active": true,
  "status_message": "Operational"

You can verify that the raw data is inserted successfully and Device ID with Project ID is automatically set under the metadata.

MongoDB Atlas Time Series Data

Insert Transformed Data

You can also transform data on the fly before inserting it into the MongoDB collection by enabling and selecting a Transformation Function.

The following example demonstrates how to insert modified data into MongoDB while simultaneously inserting raw data into Qubitro.

An example transformation function:

Transformation Function Configuration

Transformed data:

  "Battery": 3.29406,
  "Pressure": 55.29,
  "Status": "Operational",
  "Temperature": 15.62,
  "time": "2023-11-08T19:05:47.91485Z"

Raw data on device data table:

Raw Data View Qubitro Table

Transformed data on MongoDB Atlas collection:

MongoDB Atlas Time Series Transformed Data

If you need further help, you can browse support plan options.


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