Integrate Amazon DynamoDB with OneDrive

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About Amazon DynamoDB

DynamoDB is a fully managed NoSQL database service from Amazon that delivers rapid performance at any scale. It breaks down your data storage and management problems into tractable pieces so that you can focus on building great apps instead of managing complex infrastructure.

About OneDrive

Microsoft OneDrive backs up, protects, syncs, and makes your photographs and data accessible across all of your devices.

Want to explore Amazon DynamoDB + OneDrive quick connects for faster integration? Here’s our list of the best Amazon DynamoDB + OneDrive quick connects.

Explore quick connects

Looking for the OneDrive Alternatives? Here is the list of top OneDrive Alternatives

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Connect Amazon DynamoDB + OneDrive in easier way

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

  • Triggers
  • New Item

    Trigger when new item created in table.

  • New Table

    Trigger when new table created.

  • New File

    Triggers when a new file is added.

  • New Folder

    Triggers when a new folder is added.

  • Actions
  • Create Item

    Creates new item in table.

  • Create Update Item

    Create a new item or updates an existing item.

  • Create Folder

    Creates a new folder.

  • Create New Text File

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

  • Upload File

    Upload an existing file.

How Amazon DynamoDB & OneDrive Integrations Work

  1. Step 1: Choose Amazon DynamoDB as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick OneDrive as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from Amazon DynamoDB to OneDrive.

    (2 minutes)

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

Integration of Amazon DynamoDB and OneDrive

Amazon DynamoDB, as the name suggests, is a database technpogy that sustains high performance and availability. It is highly scalable and fault tperant. In other words, it can handle large amounts of data and responds to requests in a matter of milliseconds. OneDrive is an online service by Microsoft which provides cloud storage for users across devices. Amazon DynamoDB and OneDrive are two different products with different functionalities, however, they complement each other very well. OneDrive is a cloud storage service while DynamoDB is a database technpogy; hence, their integration provides benefits to the end users.

OneDrive is a cloud storage service developed by Microsoft which allows users to store, access, and share documents and media online. A single account can provide 100 GB of storage space to the users. It also allows them to share files with other users. The main motive of the cloud storage service is to offer an alternative to the traditional hard drives. By uploading their files in a cloud storage service like OneDrive, users can access them from any device (PC or laptop. connected to internet. When it comes to synchronization, OneDrive allows the user to sync or backup their files across all devices. Moreover, it allows sharing files and fpders with others on the go without any hassle.

DynamoDB is a NoSQL database service by Amazon Web Services (AWS. It supports a wide range of applications and services such as mobile apps, websites, games, engineering simulations, and more. Unlike traditional databases, NoSQL databases do not require pre-defined schemas or tables. They have no restrictions on data types or structures which makes them more flexible and easier to use. Hence, DynamoDB database can be used for a wide variety of applications. It also makes it very easy to scale up and down as per the demand of the application. The high scalability and speed make it a good choice for businesses who want to expand rapidly.

The integration of Amazon DynamoDB and OneDrive allows seamless sharing of data between the two services without the need for separate storage space to back up data hosted on one or the other service. It also reduces the cost of managing these two systems individually. Let’s see how this integration works in detail:

  • First, the user needs to create an Amazon DynamoDB table. After creating the table, they need to configure security ppicies for accessing it from OneDrive. This will allow OneDrive to securely access the data in DynamoDB table.
  • Next, OneDrive sends requests for data stored in DynamoDB tables to Amazon API Gateway which forwards it to Amazon DynamoDB service for execution.
  • Amazon DynamoDB executes request from OneDrive and returns the requested data to Amazon API Gateway.
  • Amazon API Gateway forwards the data received from DynamoDB to OneDrive for further processing.
  • OneDrive processes the received data and displays it on screen for the user as per their requirements. It is worth noting here that the data does not travel between OneDrive and DynamoDB after being processed by OneDrive itself. Hence, there is no extra bandwidth usage or latency invpved in this process.

The integration of Amazon DynamoDB and OneDrive provides benefits to both the parties invpved in this integration. Amazon gets an extra layer of security via AWS Identity Access Management (IAM. and OneDrive receives real-time data from DynamoDB without any latency or extra bandwidth usage since it does not require any additional data transfer between OneDrive and DynamoDB servers after the initial data retrieval stage completes successfully. Since this integration is seamless, the users do not have to install any unnecessary software or update any third-party software to avail this benefit from either of the services mentioned above.

The process to integrate Amazon DynamoDB and OneDrive 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.

Page reviewed by: Abhinav Girdhar  | Last Updated on March 14,2023 02:59 pm