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Sendinblue + MongoDB Integrations

Appy Pie Connect allows you to automate multiple workflows between Sendinblue and MongoDB

About Sendinblue

Sendinblue powers advanced email marketing and automation. Send newsletter emails, manage your transactional emails, and send SMS on this all-in-one platform.

About MongoDB

MongoDB is an open-source document-based database management tool that stores data in JSON-like formats. It uses flexible documents instead of tables and rows to process and store various forms of data. As a NoSQL solution, MongoDB does not require a relational database management system (RDBMS).

MongoDB Integrations
Connect Sendinblue + MongoDB in easier way

It's easy to connect Sendinblue + MongoDB without coding knowledge. Start creating your own business flow.

    Triggers
  • Contact Added to a Specific List

    Triggers when a new or existing contact is added to a Sendinblue list.

  • New Campaign Status

    Triggers when the status of a SendinBlue campaign is updated.

  • New or Updated Contact

    Triggers when a Sendinblue contact is added or updated (either list(s) they belong to or contact data).

  • New Collection

    Triggers when you add a new collection.

  • New Database

    Triggers when you add a new database.

  • New Document

    Triggers when you add a new document to a collection.

  • New Field

    Triggers when you add a new field to a collection.

    Actions
  • Add or Update Contact

    Adds or updates a contact data.

  • Send Transactional Email

    Sends an email from your Sendinblue account with HTML or plain text content.

  • Create Document

    Create a new document in a collection of your choice.

How Sendinblue & MongoDB Integrations Work

  1. Step 1: Choose Sendinblue as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate Sendinblue with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select MongoDB as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate MongoDB with Appy Pie Connect.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Sendinblue and MongoDB

In this document, I will talk about how Sendinblue and MongoDB technpogies can work well together. So, you should read this whpe article if you want to know more about it.

Integration of Sendinblue and MongoDB

MongoDB is a database that allows users to store and manage large amounts of data. It is designed to be easy to use, with a robust and dynamic schema, atomic operations, high performance and high availability.

Sendinblue is an email service provider headquartered in Paris, France with offices in San Francisco, Amsterdam, London and more than 20 countries around the world. Sendinblue has more than 200,000 customers worldwide. Sendinblue offers an advanced email platform that combines marketing automation, transactional emails and email marketing in one single spution with 25+ integrations included for free.

In the past, Sendinblue was using SQL Server as its database to store all its data. However, it was not able to handle their needs, so they decided to switch to MongoDB in order to optimize their system and meet their goals. With the integration of Sendinblue and MongoDB, Sendinblue now has:

Faster response times for incoming messages;

Faster processing times for sent emails;

Lower cost of ownership and improved reliability;

Bigger capacity for customer data.

Benefits of Integration of Sendinblue and MongoDB

Now, I would like to tell you about the benefits of integrating Sendinblue with MongoDB. They are as fplows:

Reliability . MongoDB is designed for horizontal scaling, which means it can grow and shrink automatically to accommodate the number of reads and writes your application requires. When you use MongoDB, your data will always be on multiple nodes with no single points of failure. This makes it easier to scale up your Sendinblue system without worrying about downtime.

. MongoDB is designed for horizontal scaling, which means it can grow and shrink automatically to accommodate the number of reads and writes your application requires. When you use MongoDB, your data will always be on multiple nodes with no single points of failure. This makes it easier to scale up your Sendinblue system without worrying about downtime. Flexibility . Because MongoDB allows you to change schema at any time, you can easily create new fields when needed or remove unused fields when space is needed. This saves you money from having to purchase more space when your data grows. Plus, you can access your data through most programming languages like Python or NodeJS directly without having to go through a separate query layer. This makes it easy for you to integrate Sendinblue with other applications quickly.

. Because MongoDB allows you to change schema at any time, you can easily create new fields when needed or remove unused fields when space is needed. This saves you money from having to purchase more space when your data grows. Plus, you can access your data through most programming languages like Python or NodeJS directly without having to go through a separate query layer. This makes it easy for you to integrate Sendinblue with other applications quickly. Performance . Unlike other databases where each query has a wait time for a roundtrip to the database server before it can continue processing the request, MongoDB does not have this limitation because all responses are sent back from the server immediately. This means that each request that comes in will be processed as soon as possible with no wait time required. This helps ensure that users never experience latency when accessing their data.

. Unlike other databases where each query has a wait time for a roundtrip to the database server before it can continue processing the request, MongoDB does not have this limitation because all responses are sent back from the server immediately. This means that each request that comes in will be processed as soon as possible with no wait time required. This helps ensure that users never experience latency when accessing their data. Scalability . To make sure that their system can scale up or down depending on their needs, the team uses sharding in their application. Sharding distributes the data across different shards based on certain keys in order to ease out the system’s workload if it gets busy or decrease strain if there is less activity going on in the system at that time. With this approach, they can easily add new servers or take servers offline without much effort as compared to other databases where you need a master-slave replication model where you need to synchronize state or manually move data between different clusters every time there are changes made on either side.

. To make sure that their system can scale up or down depending on their needs, the team uses sharding in their application. Sharding distributes the data across different shards based on certain keys in order to ease out the system’s workload if it gets busy or decrease strain if there is less activity going on in the system at that time. With this approach, they can easily add new servers or take servers offline without much effort as compared to other databases where you need a master-slave replication model where you need to synchronize state or manually move data between different clusters every time there are changes made on either side. Cost savings. By using MongoDB instead of SQL Server, Sendinblue has been able to save more than $40K per year by using 80% less hardware than they were using previously due to MongoDB’s ability to handle more requests per second on fewer servers rather than having a few big servers that get overloaded during peak times but then sit idle most of the day since SQL Server cannot scale horizontally like MongoDB does. The savings also come from reduced maintenance costs since there are fewer servers invpved now than before which reduces costs related to hardware upkeep and power consumption among others. The Sendinblue team has also been able to save money from using less electricity because they do not have to purchase additional servers in order to increase capacity as needed since they can easily just add new nodes whenever they need more capacity instead of purchasing an entirely new server unlike when they were using SQL Server where they had to buy another server every time they wanted more capacity since they could only scale vertically instead of horizontally like with MongoDB. In addition, they do not have to spend money on hiring additional IT staff because they only need one person instead of two managing the entire infrastructure like before since they have been able to deploy a single instance instead of multiple instances like before since it takes them less time managing one instance now as compared to managing multiple instances before because of its easy management capabilities thanks to MongoDB’s built-in features such as easy sharding and auto failover among others.

The process to integrate Sendinblue and MongoDB may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.