Amazon DynamoDB + PostgreSQL Integrations

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

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 PostgreSQL

PostgreSQL is a leading object-relational database management system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads.

PostgreSQL Integrations
PostgreSQL Alternatives

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Best Amazon DynamoDB and PostgreSQL Integrations

  • 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...
    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 Google Sheets

    PostgreSQL + Google Sheets

    Create rows in Google Sheets for new PostgreSQL custom query matches. Read More...
    When this happens...
    Amazon DynamoDB New Row (Custom Query)
    Then do this...
    Google Sheets Create Spreadsheet Row
    Do you need a solution to give co-workers consistent access to PostgreSQL rows that meet a custom query? Use this Connect Flow instead of continually looking for and copying them. Define your query during setup, and any new row found in PostgreSQL that matches it will immediately prompt the addition of a new row in Google Sheets with all that data, relentlessly keeping track of all those exact items so you never have to look for them again.
    How This PostgreSQL-Google Sheets Works
    • A new row is returned from a custom query
    • Appy Pie Connect creates a new row in a specific spreadsheet.
    What You Need
    • PostgreSQL account
    • Google Sheets account
  • Amazon DynamoDB Asana

    PostgreSQL + Asana

    Create Asana tasks for new PostgreSQL custom query matches Read More...
    When this happens...
    Amazon DynamoDB New Row (Custom Query)
    Then do this...
    Asana Create Task
    When you need to find those exact PostgreSQL entries you need to act on, you need a better option to manual searches. Set up this Connect Flow to handle things for you. When you enable it, a new task will be automatically added to Asana whenever a new row matching the custom PostgreSQL query you define is found. You can rely on Appy Pie Connect from then on to keep your actionable items up to date and accessible.
    How This PostgreSQL- Asana Works
    • A new row is returned from a custom query
    • Appy Pie Connect creates a new task in Asana.
    What You Need
    • PostgreSQL account
    • Asana account
  • Amazon DynamoDB Slack

    PostgreSQL + Slack

    Receive Slack notifications for new custom query matches on PostgreSQL Read More...
    When this happens...
    Amazon DynamoDB New Row (Custom Query)
    Then do this...
    Slack Send Channel Message
    Searching your database with the same query again and over can rapidly get tedious, especially if you have to keep your team informed. However, if you set up this connect flow, both of those problems will be immediately addressed. After it's turned on, any new row found on PostgreSQL that matches your custom query will instantly trigger a message to your preferred Slack channel, containing all the information you need to remain on top of new items without missing a beat.
    How This PostgreSQL- Slack Works
    • A new row is returned from a custom query
    • Appy Pie Connect posts a new message to a specific channel you choose.
    What You Need
    • PostgreSQL account
    • Slack account
  • Amazon DynamoDB Slack

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

    {{item.message}}
    When this happens...
    Amazon DynamoDB {{item.triggerTitle}}
    Then do this...
    {{item.actionAppImage}} {{item.actionTitle}}
Connect Amazon DynamoDB + PostgreSQL in easier way

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

  • New Item

    Trigger when new item created in table.

  • New Table

    Trigger when new table created.

  • New Column

    Triggered when you add a new column.

  • New Row

    Triggered when you add a new row.

  • New Row (Custom Query)

    Triggered when new rows are returned from a custom query that you provide. Advanced Users Only

  • Create Item

    Creates new item in table.

  • Create Row

    Adds a new row.

  • Update Row

    Updates an existing row.

How Amazon DynamoDB & PostgreSQL Integrations Work

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

    (30 seconds)

  2. Step 2: Authenticate Amazon DynamoDB with Appy Pie Connect.

    (10 seconds)

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

    (30 seconds)

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

    (10 seconds)

  5. Step 5: Authenticate PostgreSQL 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 DynamoDB and PostgreSQL

The use of data in our day to day life is increasing exponentially. There are many different types of data and there are a number of ways to store this data. Some of these ways are Relational Database Management System like PostgreSQL or MySQL.A database is a collection of information. This database can be anything from the user's contact details, their bank account details, what they bought at a particular store and so on. The collection of user information could be viewed as a database.In this case, Amazon DynamoDB is used as the NoSQL database and PostgreSQL is used as the relational database management system. Amazon DynamoDB was created by Amazon to provide reliable and fast access to data without having to make complex schema changes. Amazon DynamoDB can be scaled up or down without any downtime or performance loss.It is designed to handle huge amounts of random data reads and writes from any application that requires it. It is ideal for IoT applications. It provides consistent response times even when there are thousands of clients accessing a single table simultaneously. Amazon DynamoDB stores data items in tables. Each table contains multiple items called itemsets. An itemset is of the form (key, attribute-value pair. Key is an attribute name and attribute value is an attribute value of that name. Attribute value can be either scalar or array type.A high level overview of how Amazon DynamoDB works is given below:Amazon DynamoDB NoSQL database has four main components:Each DynamoDB instance contains one or more tables. A table contains multiple itemsets. A primary key uniquely identifies each itemset within a table.An itemset is identified by its hash key and range key. Hash key and range key are unique within a table. The hash key identifies an itemset in a unique manner. The range key is used for ordering item sets within a table. The hash key for an itemset is calculated using the hash algorithm on the attribute values of that itemset. The range key is calculated using the hash algorithm on both the hash key and range key values of that itemset.There are two types of data items in Amazon DynamoDB:DynamoDB supports four consistency levels:Amazon DynamoDB also supports provisioned throughput capacity i.e.,Amazon DynamoDB can be used either through its API or through AWS management console. AWS management console makes it easier to use Amazon DynamoDB as it abstracts the complexity of its API. But using Amazon DynamoDB through its API allows you to access all its features and settings directly.

    Integration of Amazon DynamoDB and PostgreSQL

Amazon DynamoDB can be integrated with PostgreSQL using Apache Ignite . Apache Ignite is a distributed in-memory computing platform built on top of Apache Spark . It allows users to store data in-memory thereby reducing the processing time significantly compared to traditional disk based databases which have to read and write all data from disk before processing it. Apache Ignite supports SQL plus non-SQL languages such as Java, PHP, Python and so on. It also provides in built support for some popular NoSQL databases such as Cassandra , HBase etc.Amazon DynamoDB can be integrated with PostgreSQL using Apache Ignite by:

    Benefits of Integration of Amazon DynamoDB and PostgreSQL

PostgreSQL supports ACID transactions which means that it guarantees atomicity, consistency, isolation, durability for every transaction thereby making it suitable for business critical applications where failure cannot be tolerated. This makes PostgreSQL highly reliable and scalable for enterprise grade applications like ERP, CRM etc. ACID transactions ensure data integrity by ensuring that once a transaction has been committed, it cannot be rolled back due to a faulty transaction execution. Transactions are also isolated from each other so if one transaction fails then other transactions do not fail along with it. Transactions guarantee the preservation of data integrity no matter how many nodes fail or crash during their execution. It ensures data correctness by logging all updates made to the database. So if the node storing the log crashes during the execution of a transaction then the transaction will fail but no data will be lost due to this failure since all changes will have been logged in the database already and will be replayed once the crashed node recovers. PostgreSQL also supports foreign keys which provide referential integrity between tables thereby ensuring that records in one table depend on records in another table and any change done to one record will automatically affect records elsewhere which refer to it thereby eliminating redundant data entry saving time and improving data accuracy considerably. Postgresql also supports views which allow users to manipulate data stored in one table as though it was stored in another table thereby giving them the flexibility to decide how they want to view their data or how they want to retrieve it. Views also allow users to save some processing power by pre-calculating queries before actually executing them on the real table thus speeding up data retrieval substantially . PostgreSQL also supports triggers which allow users to execute custom code whenever certain events occur such as insertion, deletion or updating of data in a table thereby giving users the option of modifying their data in any way they desire rather than just viewing it as it originally existed. For example, if you need to know whenever a new record gets inserted into your contact table then you can set up a trigger which will automatically send you an email informing you about this newly inserted record . The combination of all these features makes PostgreSQL an excellent choice for enterprise grade applications that require high reliability, high scalability and high performance capabilities along with low cost and ease of use .

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