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PostgreSQL + MongoDB Integrations

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

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.

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 PostgreSQL and MongoDB Integrations

  • PostgreSQL Google Sheets

    PostgreSQL + Google Sheets

    Create rows in Google Sheets for new PostgreSQL custom query matches. Read More...
    When this happens...
    PostgreSQL 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
  • PostgreSQL Asana

    PostgreSQL + Asana

    Create Asana tasks for new PostgreSQL custom query matches Read More...
    When this happens...
    PostgreSQL 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
  • PostgreSQL Slack

    PostgreSQL + Slack

    Receive Slack notifications for new custom query matches on PostgreSQL Read More...
    When this happens...
    PostgreSQL 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
  • PostgreSQL Google Sheets

    MongoDB + Google Sheets

    Create new rows in Google Sheets for new MongoDB documents Read More...
    When this happens...
    PostgreSQL New Document
     
    Then do this...
    Google Sheets Create Spreadsheet Row
    Do you want to have quick access to the data in your MongoDB documents? Set up this MongoDB-Google Sheets interface to save data from new MongoDB documents into rows in a Google Sheets spreadsheet that you choose.
    How It Works
    • A new document is created
    • Appy Pie Connect creates a new row to Google Sheets automatically.
    What You Require
    • MongoDB account
    • Google Sheets account
  • PostgreSQL Slack

    MongoDB + Slack

    Send Slack messages for new MongoDB documents Read More...
    When this happens...
    PostgreSQL New Document
     
    Then do this...
    Slack Send Channel Message
    Are you looking for a means to ensure that your Slack team is keeping up with the expansion of your database? Set up this Connect Flow to send a message. Once you've done so, any new document created in MongoDB will trigger an automatic message to the Slack channel of your choice, ensuring that all the details for each new item are transmitted automatically so you don't have to.
    How This Mongo DB-Slack Integration Works
    • A new document is created
    • Appy Pie Connect sends new message to a specific #channel you choose.
    What You Require
    • MongoDB account
    • Slack account
  • PostgreSQL Slack

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

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

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

    Triggers
  • 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

  • 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 Row

    Adds a new row.

  • Update Row

    Updates an existing row.

  • Create Document

    Create a new document in a collection of your choice.

How PostgreSQL & MongoDB Integrations Work

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

    (30 seconds)

  2. Step 2: Authenticate PostgreSQL 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 PostgreSQL and MongoDB

PostgreSQL is an object-relational database management system that includes a relational database, as well as an object oriented database. PostgreSQL can be used to store data from multiple types of applications, such as web apps and databases. It is a server-based relational database that is a feature rich database management software or RDBMS. The primary function of a relational database is to store data, and to retrieve it in specified formats.

MongoDB is a document-oriented database, which means it stores data in documents rather than tables. MongoDB is similar to the NoSQL database because unlike most other relational databases, the primary storage in MongoDB is not based on tables and rows, but on documents and JSON objects.

Integration of PostgreSQL and MongoDB

The first approach for integrating PostgreSQL and MongoDB is by using a database connector. A database connector is a software that allows you to connect PostgreSQL with MongoDB. It allows you to transfer data from PostgreSQL to MongoDB and vice versa. An example of a database connector is pymongo.

There are several advantages in integrating PostgreSQL and MongoDB using a database connector. First, using this method, you only need to use one driver for both the PostgreSQL and MongoDB databases. This will save time and effort for developers. Second, you can perform the integration using the same query language, which saves you more time and effort. Third, this method allows you to use some of the advanced features of PostgreSQL in MongoDB, such as triggers, views, functions and dump/restore. However, using this method has its disadvantages too. Using one driver for both databases will not be able to translate all the ones that are specific to either PostgreSQL or MongoDB.

Benefits of Integration of PostgreSQL and MongoDB

Integration of PostgreSQL and MongoDB offers several benefits to enterprises:

It can help businesses start operating at lower costs because it reduces hardware and software expenses. Having two databases running on one system will reduce costs because there will be less hardware required, as well as less maintenance costs since there will be fewer components. This will also help businesses save money when modernizing legacy systems because they can easily switch between the two databases depending on the task at hand.

It can help companies achieve high performance at an affordable cost since you only need to purchase one license for your database management software. Therefore, your company’s budget can be allocated to maintaining existing infrastructure components, improving them or purchasing new ones. You will not have to spend extra money on buying additional licenses for your database management software. This can save your company thousands of dplars each year. Having two databases running on one system will improve performance because there will be less latency due to accessing information from different databases using different query languages.

It allows companies to expand their business reach fast because it is easier to deploy applications in the cloud since you only need one database management software license for both PostgreSQL and MongoDB. This will save companies time and money, allowing them to focus more on creating new products or improving the existing ones instead of buying additional licenses for their database management software. There are many cloud services that support MongoDB, so integrating PostgreSQL and MongoDB through a database connector will allow your company to easily port their existing applications into the cloud without much effort. Deploying applications in the cloud helps you scale up quickly when your business expands to other countries without increasing your costs significantly. This can be achieved by simply adding more machines to your cloud service provider’s cluster while paying only for the resources that are being utilized instead of buying more hardware and software licenses for your network servers or physical computers.

The process to integrate PostgreSQL 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.