?>

Amazon DynamoDB + Etsy Integrations

Appy Pie Connect allows you to automate multiple workflows between Amazon DynamoDB and Etsy

About Amazon DynamoDB

Amazon DynamoDB is a fully managed NoSQL database service offered by Amazon.com as a part of their Amazon Web Services portfolio. Many of the world’s renowned businesses and enterprises use DynamoDB to support their mission-critical workloads.

About Etsy

Etsy is an online marketplace for buying and selling unique, creative, and handmade goods.

Etsy Integrations

Best ways to Integrate Amazon DynamoDB + Etsy

  • Amazon DynamoDB Amazon DynamoDB

    Amazon DynamoDB + Amazon DynamoDB

    Get IP2Location information for IP addresses from new AWS DynamoDB items and store it in a separate table Read More...
    Close
    When this happens...
    Amazon DynamoDB New Item
     
    Then do this...
    Amazon DynamoDB Create Item
    Amazon Web Services DynamoDB is a NoSQL database for applications to store and retrieve data, but it doesn't come with geolocation features built-in. That's where this automation comes in. Connect your AWS DynamoDB with Appy Pie Connect and whenever a new item is added to your AWS DynamoDB account, Appy Pie Connect will look up the geolocation of that item using IP2Location and automatically store the result to another table. You can use this automation for any IP on any AWS region.
    How This Integration Works
    • A new item is added to an AWS DynamoDB table
    • Appy Pie Connect sends an IP from it to IP2Location for geolocation query and then automatically add the results to another AWS DynamoDB table
    What You Need
    • AWS DynamoDB
    • IP2Location
  • Amazon DynamoDB {{item.actionAppName}}

    Amazon DynamoDB + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} {{item.actionTitle}}
Connect Amazon DynamoDB + Etsy in easier way

It's easy to connect Amazon DynamoDB + Etsy 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 Active Listing

    Triggers when there is a new active listing.

  • New Order

    Triggers when a new Order is placed with selected shop.

  • New User

    Triggers when a new user is created.

  • Order Paid

    Triggers when an Order in the selected Shop is paid.

  • Order Shipped

    Triggers when an Order in the selected Shop is shipped.

    Actions
  • Create Item

    Creates new item in table.

How Amazon DynamoDB & Etsy 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 Etsy 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 Etsy.

    (2 minutes)

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

Integration of Amazon DynamoDB and Etsy

Integration of Amazon DynamoDB and Etsy

Benefits of Integration of Amazon DynamoDB and Etsy

A lot of users are now coming to know how useful Amazon DynamoDB is. It is a fully managed NoSQL database that helps you to build applications on the cloud. You can store and retrieve any amount of data, and you can scale as your application needs grow without having to worry about infrastructure. It uses the concept of provisioned throughput capacity which makes it highly available. Also, it has an automatic scaling and load balancing features and it gives you 99.99% uptime (AWS.

Amazon DynamoDB?

Amazon DynamoDB is a fully managed NoSQL database service offered by Amazon Web Services. It was first launched in beta mode on November 2011 and on production mode on April 2012. Its headquarters is located in Seattle, Washington, United States. It supports both document and key-value store models of data storage. It has a flexible data model that makes it easy for developers to upload and retrieve any amount of data within seconds. It also offers several easy-to-use APIs, one of them being the AWS SDK and another being Java and .NET SDK. Using these SDKs, developers can integrate their applications with Amazon DynamoDB easily.

It provides two different types of database – Global Secondary Indexes and Local Secondary Index – both of which are available at no additional charge. Global Secondary Indexes allows users to create indexes across multiple tables, however, it is limited to a single region. If you require global indexing, then you need to use Local Secondary Indexes instead. It also provides a large number of built-in functions that enables data analysis. It also allows users to create up to 500 tables with a maximum of 16k items per table. However, there is a monthly charge for every table exceeding this limit. For example, if a user creates 1000 tables, they will have to pay for 1000 times the monthly fee. They also support two different pricing models – Pay-As-You-Go and On-Demand. Both models have different pros and cons. In Pay-As-You-Go model, cost is based on the amount of data stored whereas in On-Demand model, cost is based on throughput capacity required by the application. There are also some limitations that users have to fplow while using Amazon DynamoDB. For example, they cannot use a key more than once in a single entity, they cannot use a hash key for an attribute that does not have a stable value, they cannot delete a table or an item without first marking it as inactive – either by calling the DeleteItem operation or setting the IsActive property to false – and so on. Table 1 shows some other limitations while using Amazon DynamoDB.

Limitation Description Data Model Amazon DynamoDB supports two different data models – Document Store Model and Key Value Store Model. Users can choose any one out of these two models. However, while using Document Store Model, users need to fplow certain limitations while creating tables such as specifying NumberOfPartitions parameter when creating tables, breaking up entities into multiple documents when the size becomes too big, preventing multiple entries for the same key value in a single entity etc., while Key Value Store Model does not have any such limitation. Query Language Amazon DynamoDB supports only one query language called Query Language Specification (QL. However, since QL is very similar to SQL, most developers find it easy to learn and work with QL. Storage Size Amazon DynamoDB offers unlimited storage space for all databases irrespective of the monthly payment made by users. However, there are some limitations to be fplowed while using Amazon DynamoDB; for example; users cannot create more than 500 tables at any given time, each table can contain up to 16k items maximum but if exceeded then users need to pay more money, users cannot call GetItem operation more than 50000 times per second etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceeded then users need to pay more money etc., if exceed

The process to integrate Amazon DynamoDB and Etsy 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.