Mailjet by Pathwire

Mailjet by Pathwire Data Integration with BigQuery

With Portable, integrate Mailjet by Pathwire data with your BigQuery warehouse in minutes. Access your third-party global email service data from BigQuery without having to manage cumbersome ETL scripts.

The Two Paths to Connect Mailjet by Pathwire to Google BigQuery

There are two ways to sync data from Mailjet by Pathwire into your data warehouse for analytics.

Method 1: Manually Developing a Custom Data Pipeline Yourself

Write code from scratch or use an open-source framework to build an integration between Mailjet by Pathwire and BigQuery.

Method 2: Automating the ETL Process with a No-Code Solution

Leverage a pre-built connector from a cloud-hosted solution like Portable.

How to Create Value with Mailjet by Pathwire Data

Teams connect Mailjet by Pathwire to their data warehouse to build dashboards and generate value for their business. Let’s dig into the capabilities Mailjet by Pathwire exposes via their API, outline insights you can build with the data, and summarize the most common analytics environments that teams are using to process their Mailjet by Pathwire data.

Extract: What Data Can You Extract from the Mailjet by Pathwire API?

Mailjet by Pathwire is a third-party global email service used for creating, sending and tracking emails..

To help clients power downstream analytics, Mailjet by Pathwire offers an application programming interface (API) for clients to extract data on business entities.

You can visit the Mailjet by Pathwire API Documentation to explore the entire catalog of available API resources and the complete schema definition for each.

As you think about the data you will need for analytics, don’t forget that Portable offers no-code integrations to other similar applications.

Regardless of the SaaS solution you use, it’s important to find a third-party global email service with robust data available for analytics.

Load: Which Destinations Are Best for Your Mailjet by Pathwire ETL Pipeline?

To turn raw data from Mailjet by Pathwire into dashboards, most companies centralize information into a data warehouse or data lake. For Portable clients, the most common ETL pipelines are:

  1. Mailjet by Pathwire to Snowflake Integration
  2. Mailjet by Pathwire to Google BigQuery Integration
  3. Mailjet by Pathwire to Amazon Redshift Integration
  4. Mailjet by Pathwire to PostgreSQL Integration
Common Data Warehouses
Common Data Warehouses

Once you have a destination to load the data, it’s common to combine Mailjet by Pathwire data with information from other enterprise applications like Jira, Mailchimp, HubSpot, Zendesk, and Klaviyo.

From there, you can build cross-functional dashboards in a visualization tool like Power BI, Tableau, Looker, or Retool.

Develop: Which Dashboards Should You Build with Mailjet by Pathwire Data?

Now that you have identified the data you want to extract, the next step is to plan out the dashboards you can build with the data.

As a process, you want to consume raw data, overlay SQL logic, and build a dashboard to either 1) increase revenue or 2) decrease costs.

Replicating Mailjet by Pathwire data into your cloud data warehouse can unlock a wide array of opportunities to power analytics, automate workflows, and develop products. The use cases are endless.

Now that we have a clear sense of the insights we can create, let’s compare the process of developing a custom Mailjet by Pathwire integration with the benefits of using a no-code ETL solution like Portable.

Method 1: Building a Custom Mailjet by Pathwire ETL Pipeline

To build your own Mailjet by Pathwire integration, there are three steps:

  1. Navigate the Mailjet by Pathwire API documentation
  2. Make your first API request
  3. Turn an API request into a complete data pipeline

Let’s walk through the process in more detail.

How to Interpret Mailjet by Pathwire’s API Documentation

When reading API documentation, there are a handful of key concepts to consider.


There are many common authentication mechanisms. OAuth 2.0 (Auth Code and Client Credentials), API Keys, JWT Tokens, Personal Access Tokens, Basic Authentication, etc. For Mailjet by Pathwire, it’s important to identify the authentication mechanism and how best to incorporate the necessary credentials into your API requests.

All Email API endpoints requests are authenticated using HTTPS Basic Auth.


It’s important to identify the Mailjet by Pathwire API endpoints you want to use for analytics. Most APIs offer a combination of GET, POST, PUT, and DELETE request methods; however, for analytics, GET requests are typically the most useful. At times, POST requests can be used to extract data as well.

For Mailjet by Pathwire, the template endpoint is a great place to get started.

Request Parameters

For each API endpoint you would like to use for analytics, you need to understand the method (GET, POST, PUT, or DELETE) and the URL, but there are other considerations to take into account as well. You should look out for pagination mechanics, query parameters, and parameters that are added to the request path.

Mailjet uses offset and sort parameters for pagination.

Some API endpoints require unique identifiers from a previous API response to be included in the URL path. For instance, to view message history, you need a messages_id that is returned from another endpoint.

How Do You Call the Mailjet by Pathwire API? (Tutorial)

  1. Follow the instructions above to read the Mailjet by Pathwire API documentation
  2. Identify and collect your credentials for authentication
  3. Pick the API resource you want to pull data from
  4. Configure the necessary parameters, method, and URL to make your first request (e.g. with curl or Postman)
  5. Add your credentials and make your first API call . Here is an example request using curl (without real credentials):
curl -s -X POST     --user '$MJ_APIKEY_PUBLIC:$MJ_APIKEY_PRIVATE'     -H 'Content-Type: application/json'     -d '{ 'Author':'John Doe',         'Categories':'array',         'Copyright':'Mailjet',         'Description':'Used to send out promo codes.',         'EditMode':'1',        'IsStarred':'false',        'IsTextPartGenerationEnabled':'true',        'Locale':'en_US',        'Name':'Promo Codes',        'OwnerType':'user',        'Presets':'string',        'Purposes':'array'}'

How Do You Maintain a Custom Mailjet by Pathwire to BigQuery ETL Pipeline?

Making a call to the Mailjet by Pathwire API is just the beginning of maintaining a complete custom ETL pipeline.

Here is a getting-started guide to building a production-grade pipeline for Mailjet by Pathwire:

  • For each API endpoint, define schemas (which fields exist and the type for each)
  • Process the API response and parse the data (typically parsing JSON or XML)
  • Handle and replicate nested objects and custom fields
  • Identify which Mailjet by Pathwire fields are primary keys and which keys are required vs. optional
  • Version control your changes in a git-based workflow (using GitHub, GitLab, etc.)
  • Handle code dependencies in your toolchain and the upgrades that come with each
  • Monitor the health of the upstream API, and —when things go wrong— troubleshoot via the status page, reach out to support, and open tickets
  • Handle error codes (HTTP error codes like 400s, 500s, etc.)
  • Manage and respect rate limits imposed by the server

We won’t go into detail on all of the items above, but rate limits are a great example of the complexity found in a production-grade data pipeline.

Mailjet APIs are under rate limits for the number of API calls allowed per API keys per second. If you reach a rate limit, the Mailjet API will return a 429 HTTP error code.

Mailjet transactional APIs (Email and SMS) are offering a high rate limit to accommodate the most demanding messaging needs of clients. The rate limits for the rest of Mailjet's email and SMS APIs (excluding transactional API calls) are much lower, while still allowing a comfortable use of our API by even the most challenging use cases.

When using the Mailjet API, we recommend to:

  • Properly take into account any 429 error (wait and retry)
  • For high frequency use of our API resources, explore the use of our bulk functionalities
  • Separate applications under separate sub accounts

If you don’t respect rate limits, and if you can’t handle server responses (like 429 errors with a Retry-After header), your pipeline can break, and analytics can become out-of-date.

What Are the Drawbacks of Building the Mailjet by Pathwire ETL Pipeline Yourself?

You can probably tell at this point that there is a lot of work that goes into building and maintaining an ETL pipeline from Mailjet by Pathwire to your data warehouse.

If you want less development work, faster insights, and no ongoing responsibilities, you should consider a cloud-hosted ETL solution.

Let’s walk through the setup process for a no-code ETL solution and its benefits.

Method 2: Using a No-Code Mailjet by Pathwire ETL Solution

No-code ETL solutions are simple. Vendors specialize in building and maintaining data pipelines on your behalf. Instead of starting from scratch for each integration. Companies like Portable create connector templates that can be leveraged by hundreds or thousands of clients.

Step-By-Step Tutorial for Configuring Your Mailjet by Pathwire ETL Pipeline

Off-the-shelf ETL tools offer a no-code setup process. Here are the instructions to connect Mailjet by Pathwire to your cloud data warehouse with Portable.

  1. Create an account (no credit card required)
  2. Add a source —search for and select Mailjet by Pathwire
  3. Authenticate with Mailjet by Pathwire using the instructions in the Portable console
  4. Select BigQuery and authenticate
  5. Set up a flow connecting Mailjet by Pathwire to your analytics environment
  6. Run your flow to replicate data from Mailjet by Pathwire to your warehouse
  7. Use the dropdown to set your data flow to run on a cadence

What Are the Benefits of Using Portable for Mailjet by Pathwire ETL?

No-Code Simplicity

Start moving Mailjet by Pathwire data in minutes. Save yourself the headaches of reading API documentation, writing code, and worrying about maintenance. Leave the hassle to us.

Easy to Understand Pricing

With predictable, fixed-cost pricing per data flow, you know exactly how much your Mailjet by Pathwire integration will cost every month.

Fast Development Speeds

Access lightning-fast connector development. Portable can build new integrations on-demand in hours or days.

Hands-On Support

APIs change. Schemas evolve. Mailjet by Pathwire will have maintenance issues and errors. With Portable, we will do everything in our power to make your life easier.

Unlimited Data Volumes

You can move as much data from Mailjet by Pathwire to Google BigQuery as you want without worrying about usage credits or overages. Instead of analyzing your ETL costs, you should be analyzing your data.

Free to Get Started

Sign up and get started for free. You don’t need a credit card to manually trigger a data sync, so you can try all of our connectors before paying a dime.

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