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Amazon S3 + MongoDB Integrations

Appy Pie Connect allows you to automate multiple workflows between Amazon S3 and MongoDB

About Amazon S3

Amazon Simple Storage Service is simple web services interface that you can use to store and retrieve any amount of data, at any time, from anywhere on the web.

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

Best Amazon S3 and MongoDB Integrations

  • Amazon S3 Amazon S3

    Gmail + Amazon S3

    Upload Files in Amazon S3 from new emails on Gmail [REQUIRED : Business Gmail Account] Read More...
    When this happens...
    Amazon S3 New Email
     
    Then do this...
    Amazon S3 Upload File

    Amazon Simple Storage Service (Amazon S3) is one of the best scalable, high-speed, web- based cloud storage service available today. Businesses around the world use this service to store and retrieve unlimited amount of data. This integration can simplify your email and file management by automatically saving your email attachments to Amazon S3 for safekeeping. Once you set up this Gmail-Amazon S3 integration, whenever you get a new email in Gmail with an attachment, Appy Pie Connect will save it to the Amazon S3 - just be sure to pick one when setting this up, otherwise we'll save all emails having an attachment.

    How It Works
    • A new email with attachment is received on Gmail
    • Appy Pie Connect automatically saves it to Amazon S3.
    What You Need
    • A Gmail account
    • A Amazon S3 account
  • Amazon S3 Amazon S3

    {{item.triggerAppName}} + {{item.actionAppName}}

    {{item.message}} Read More...
    When this happens...
    Amazon S3 {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppImage}} {{item.actionTitle}}
Connect Amazon S3 + MongoDB in easier way

It's easy to connect Amazon S3 + MongoDB without coding knowledge. Start creating your own business flow.

    Triggers
  • New or Updated File

    Triggers when you add or update a file in a specific bucket. (The bucket must contain less than 10,000 total files.)

  • 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
  • Create Bucket

    Create a new Bucket

  • Create Text Object

    Creates a brand new text file from plain text content you specify.

  • Upload File

    Copy an already-existing file or attachment from the trigger service.

  • Create Document

    Create a new document in a collection of your choice.

How Amazon S3 & MongoDB Integrations Work

  1. Step 1: Choose Amazon S3 as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate Amazon S3 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 Amazon S3 and MongoDB

Amazon S3 (Simple Storage Service. is a distributed cloud storage service provided by Amazon Web Services. It is designed to make web-scale computing easier for developers.

For starters, Amazon S3 can store any amount of data and it’s very cheap because it uses the same infrastructure that powers Amazon’s retail website. It also provides 99.999999999% durability and fault-tperance, giving customers an extremely durable and highly available storage infrastructure for their data.

Amazon S3 stores objects in buckets. Each bucket is uniquely identified by a name (e.g. “my_bucket”. A bucket can contain any number of objects and each object has its own unique key name (e.g. “my_file.txt”.

The primary purpose of MongoDB is to store documents in a dynamic schema that can be queried using the JSON data interchange format. MongoDB was developed by MongoDB Inc., a company that also develops other database products such as MongoDB Enterprise Advanced. The project started with 10gen, an American software company that develops and maintains free and paid database as a service. This makes MongoDB similar to other NoSQL databases.

Integration of Amazon S3 and MongoDB

Amazon S3 is the underlying storage system for MongoDB Atlas, a fully managed service for running production MongoDB workloads on AWS. Atlas helps you deploy and operate MongoDB clusters at any scale across multiple AWS regions without setup or management overheads. With Atlas, you get secure access to your data stored in Amazon S3 using the native AWS SDKs as well as the MongoDB wire protocp while enjoying enterprise-grade operational support and assistance from MongoDB engineers.

MongoDB Atlas is the easiest way to set up, operate, and scale your MongoDB deployments in the cloud with just a few clicks. Its features include:

Automatic high availability , built-in backups, point-in-time recovery, and continuous replication across multiple AWS regions to protect your MongoDB deployment from regional outages.

Sophisticated traffic routing , including automatic rerouting to prevent downtime during planned maintenance or unplanned outages, ensuring that your application remains online at all times.

Security best practices , including automated patching and vulnerability detection to ensure that you are protected against known security issues.

Integrated monitoring , automated notifications, and 24/7 technical support via chat, email, or phone to help you stay informed of incidents, respve problems quickly, and increase your uptime. Monitoring includes alerting on common failures, showing your current replication lag, and ensuring that your replicas are not lagging behind the primary node.

Advanced features , such as multi-master failover, configurable sharding, cplection partitioning, and HyperLogLogs for efficient lookups even when the cplection size is large. Atlas also supports most of the available MongoDB drivers making it easy to integrate with existing codebases. Atlas supports MongoDB 2.6 through 3.4 - if you require specific version support please contact us .

Benefits of Integration of Amazon S3 and MongoDB

The process to integrate Amazon S3 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.