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  2. DEAR Inventory
  3. Integrations
  4. PostgreSQL

DEAR Inventory + PostgreSQL Integrations

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

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DEAR Inventory Integrations
About DEAR Inventory

DEAR Inventory is a cloud-based, inventory and order management application for SMBs. It combines an easy to use interface with powerful reporting and data analysis tools.

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 DEAR Inventory + PostgreSQL

  • DEAR Inventory PostgreSQL

    DEAR Inventory + PostgreSQL

    Create Row to PostgreSQL from New Customer OR Updated Customer in DEAR Inventory Read More...
    Close
    When this happens...
    DEAR Inventory New Customer OR Updated Customer
     
    Then do this...
    PostgreSQL Create Row
  • DEAR Inventory PostgreSQL

    DEAR Inventory + PostgreSQL

    Update Row in PostgreSQL when New Customer OR Updated Customer is created in DEAR Inventory Read More...
    Close
    When this happens...
    DEAR Inventory New Customer OR Updated Customer
     
    Then do this...
    PostgreSQL Update Row
  • DEAR Inventory DEAR Inventory

    PostgreSQL + DEAR Inventory

    Create Sale to DEAR Inventory from New Row in PostgreSQL Read More...
    Close
    When this happens...
    DEAR Inventory New Row
     
    Then do this...
    DEAR Inventory Create Sale
  • DEAR Inventory DEAR Inventory

    PostgreSQL + DEAR Inventory

    Create Sale Quote to DEAR Inventory from New Row in PostgreSQL Read More...
    Close
    When this happens...
    DEAR Inventory New Row
     
    Then do this...
    DEAR Inventory Create Sale Quote
  • DEAR Inventory DEAR Inventory

    PostgreSQL + DEAR Inventory

    Create Sale Order to DEAR Inventory from New Row in PostgreSQL Read More...
    Close
    When this happens...
    DEAR Inventory New Row
     
    Then do this...
    DEAR Inventory Create Sale Order
  • DEAR Inventory {{item.actionAppName}}

    DEAR Inventory + {{item.actionAppName}}

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

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

    Triggers
  • New Customer OR Updated Customer

    Triggered when customers are created or updated.

  • 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
  • Create Invoice

    Create Sales Invoice

  • Create Sale

    Create a new sale.

  • Create Sale Order

    Create Sales order.

  • Create Sale Quote

    Creates a sales quote.

  • Create Row

    Adds a new row.

  • Update Row

    Updates an existing row.

Show All

How DEAR Inventory & PostgreSQL Integrations Work

  1. Step 1: Choose DEAR Inventory 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 DEAR Inventory to PostgreSQL.

    (2 minutes)

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

Integration of DEAR Inventory and PostgreSQL

In this section of my article, I will explain what DEAR Inventory is and why I want to use it with PostgreSQL.

DEAR Inventory

DEAR Inventory is a Web-based inventory management software that allows users to track inventory, maintain physical assets, and manage product information all in one place. DEAR Inventory is available for free and can be used for free on a single computer. However, the free version has many restrictions and only allows users to maintain up to five products. If you have more than five products, you will have to upgrade to a paid version of DEAR Inventory.

PostgreSQL

PostgreSQL is an open source relational database system. It is often used for storing data and as a back-end for Web applications. PostgreSQL uses Structured Query Language (SQL. to create, read, update and delete data from databases. These databases can be accessed by other computer programs or by a human using a Web browser. PostgreSQL is capable of storing large amounts of data and performs well under stress. It also scales well with extremely large datasets.

In this section of my article, I will explain how DEAR Inventory can be integrated with PostgreSQL.

Integration of DEAR Inventory and PostgreSQL

I will integrate DEAR Inventory with PostgreSQL because it will allow me to transfer my data from one system to another. The integration process will be done by creating a DEAR Inventory table in PostgreSQL and importing the records from DEAR Inventory into it. Then, I will export the data from PostgreSQL and import it into DEAR Inventory. The steps below show how I will do this:

  • The first step is to create a new table in Postgres called dearm_inventory . This table will map directly to the dearm_inventory table in DEAR Inventory. Therefore, each field in the table must have a corresponding field in the other table. However, the primary key is different between the two tables so it must be added to the PostgreSQL table. Since the primary key in DEAR Inventory is ID, I will add an ID field to the PostgreSQL table.
  • The second step is to import the data from DEAR Inventory into PostgreSQL by using the COPY command. First, I need to create a file containing the data that will be imported into PostgreSQL. This file needs to contain one row per product with the corresponding fields specified in the dearm_inventory table. In this case, there are only two fields. Name and Price . Once the file is created, I can use the COPY command to import the data from DEAR Inventory into PostgreSQL. COPY dearm_inventory (Name, Price. FROM '/home/dbadmin/dearm_inventory.csv';
  • The third step is to export all of the data from PostgreSQL and import it into DEAR Inventory by using the IMPORT command through SQL. To perform this step, I need to change the delimiter from a comma ( , . to a tab ( TAB . in order to match the format of DEAR Inventory's dearm_inventory table. Then, I can use a SELECT query with a GROUP BY clause to select all of the records from PostgreSQL and output them into a CSV file. SELECT * INTO '/home/dbadmin/dearm_inventory_data.csv' FROM dearm_inventory GROUP BY Name; When this command finishes running, I should have a CSV file saved in my home directory containing all of the records from PostgreSQL's dearm_inventory table.
  • The fourth step is to import all of the data from PostgreSQL into DEAR Inventory by using the IMPORT command through SQL. To do this, I need to change the delimiter from a tab ( TAB . to a comma ( , . in order to match the format of DEAR Inventory's dearm_inventory table. Then, I can use a SELECT query with a GROUP BY clause and some WHERE clauses to select all of the records from PostgreSQL and output them into a CSV file. SELECT * INTO '/home/dbadmin/dearm_inventory_data.csv' FROM /home/dbadmin/dearm_inventory_data WITH DELIMITER ',' REPLACE ',', ''; When this command finishes running, I should have a CSV file saved in my home directory containing all of the records from PostgreSQL's dearm_inventory table.
  • The fifth step is to import all of the data from PostgreSQL into DEAR Inventory by using the IMPORT command through SQL again but with additional WHERE clauses that match criteria in both databases. This time, instead of just selecting all of the records from PostgreSQL's dearm_inventory table, we are going to select only those records that match criteria in both databases. SELECT * INTO dearm_inventory FROM dearm_inventory_data WHERE Name = 'Widget 1' AND Price >= 0; After we have finished running this query, we should have one record imported into DEAR Inventory's dearm_inventory table that matches our criteria. We can then run this query again but replace Name with Widget 2 and Price >= 0 with Price <= 30 . This time we should have four imported records because they match our criteria on two fields. We could continue repeating until we have all of our records imported into DEAR Inventory but that may take too long without any improvements to our queries or indexing structure on either database!

Benefits of Integration of DEAR Inventory and PostgreSQL

The process to integrate DEAR Inventory and PostgreSQL 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.

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