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Chatter + PostgreSQL Integrations

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

  • No code
  • No Credit Card
  • Lightning Fast Setup
About Chatter

Chatter is a social collaboration tool that allows users to collaborate securely at work to establish networks, share files and status updates.

About PostgreSQL

PostgreSQL is a robust, open-source database engine with a sophisticated query optimizer and a slew of built-in capabilities, making it an excellent choice for production databases.

PostgreSQL Integrations
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Best ways to Integrate Chatter + PostgreSQL

  • Chatter PostgreSQL

    Chatter + PostgreSQL

    Create Row to PostgreSQL from New Topic in Chatter Read More...
    Close
    When this happens...
    Chatter New Topic
     
    Then do this...
    PostgreSQL Create Row
  • Chatter PostgreSQL

    Chatter + PostgreSQL

    Update Row in PostgreSQL when New Topic is created in Chatter Read More...
    Close
    When this happens...
    Chatter New Topic
     
    Then do this...
    PostgreSQL Update Row
  • Chatter PostgreSQL

    Chatter + PostgreSQL

    Create Row to PostgreSQL from New Group in Chatter Read More...
    Close
    When this happens...
    Chatter New Group
     
    Then do this...
    PostgreSQL Create Row
  • Chatter PostgreSQL

    Chatter + PostgreSQL

    Update Row in PostgreSQL when New Group is created in Chatter Read More...
    Close
    When this happens...
    Chatter New Group
     
    Then do this...
    PostgreSQL Update Row
  • Chatter PostgreSQL

    Chatter + PostgreSQL

    Create Row to PostgreSQL from New Post about Topic in Chatter Read More...
    Close
    When this happens...
    Chatter New Post about Topic
     
    Then do this...
    PostgreSQL Create Row
  • Chatter {{item.actionAppName}}

    Chatter + {{item.actionAppName}}

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

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

    Triggers
  • New Group

    Triggers when a new group is created.

  • New Post about Topic

    Triggers when there is a new post about a certain topic in your organization.

  • New Post in Feed Trigger

    Triggers when any new post occurs in your Chatter Feed.

  • New Topic

    Triggers when a new topic is 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

    Actions
  • New Post in Feed Action

    Create a new post in your Chatter feed.

  • Create Row

    Adds a new row.

  • Update Row

    Updates an existing row.

How Chatter & PostgreSQL Integrations Work

  1. Step 1: Choose Chatter 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 PostgreSQL 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 Chatter to PostgreSQL.

    (2 minutes)

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

Integration of Chatter and PostgreSQL

Today, social networks and other web applications have made it easy for people to connect with one another. However, the database applications used in these scenarios are not as socially-aware as the social networking sites themselves. PostgreSQL is a powerful, open source, object-relational database management system (DBMS. that supports many of the most important features needed by modern applications. Chatter is an enterprise social networking system that facilitates communication between employees of a company. It provides a way to share ideas, information, and opinions, and includes many other facilities that support the workplace. The two systems complement each other and can be integrated easily.

Chatter is an open source software that can be deployed on-premise or inside Amazon Web Services cloud. It is a full-featured enterprise social networking system. It enables users to share information through blogs, wikis, bookmarks, discussion forums, and comments, which can then be viewed on a dashboard and through feeds in Chatter. As a social network platform, Chatter can be used by employees within companies to collaborate more effectively. Chatter provides many features like document management, document sharing, video conferencing, blogs, and wikis. Chatter integrates with other applications like Oracle EBS and Siebel.

PostgreSQL is an object-relational database management system. It is a powerful DBMS that provides many advanced features such as sophisticated data types, built-in support for transactions, foreign keys, views, triggers, complex queries, subselects, etc. PostgreSQL has many language bindings including C/C++, Java, Perl, Python, Ruby etc. While Chatter provides social networking capabilities to facilitate communication between employees of a company, PostgreSQL provides a detailed technical architecture to store and manage the data using advanced data types like arrays, hstore, json datatype etc. PostgreSQL provides a variety of built-in functions to perform analytical tasks like finding the total sales across different regions, calculating averages / maximums / minimums etc. In addition to the built-in functions provided by PostgreSQL, additional user defined functions (UDFs. can be created in languages like PL/pgSQL (PostgreSQL's own procedural language), C/C++ or Java to perform even more complex analytical tasks. Both Chatter and PostgreSQL have strong development communities and provide excellent documentation to help developers create new applications.

Integrating Chatter and PostgreSQL makes it easier for companies to use their existing infrastructure to deploy enterprise social networking solutions for their employees. By automatically generating activity streams from data stored in PostgreSQL databases it becomes easier for companies to understand workforce engagement trends in real time. The combination of Chatter and PostgreSQL improves business intelligence through increased productivity and collaboration between employees.

The process to integrate Chatter 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.