Integrate Vend with PostgreSQL

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

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About Vend

Vend is a cloud-based point of sale system for retailers of all types and sizes. Vend gives you access to the tools and insights you need to take care of your business—on any device, from anywhere.

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 Vend and PostgreSQL Integrations

  • Vend Integration PostgreSQL Integration

    Vend + PostgreSQL

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

    Vend + PostgreSQL

    Update Row in PostgreSQL when New Sale is created in Vend Read More...
    Close
    When this happens...
    Vend Integration New Sale
     
    Then do this...
    PostgreSQL Integration Update Row
  • Vend Integration PostgreSQL Integration

    Vend + PostgreSQL

    Create Row to PostgreSQL from New / Updated Customer in Vend Read More...
    Close
    When this happens...
    Vend Integration New / Updated Customer
     
    Then do this...
    PostgreSQL Integration Create Row
  • Vend Integration PostgreSQL Integration

    Vend + PostgreSQL

    Update Row in PostgreSQL when New / Updated Customer is created in Vend Read More...
    Close
    When this happens...
    Vend Integration New / Updated Customer
     
    Then do this...
    PostgreSQL Integration Update Row
  • Vend Integration PostgreSQL Integration

    Vend + PostgreSQL

    Create Row to PostgreSQL from New Sale (Line Item Support) in Vend Read More...
    Close
    When this happens...
    Vend Integration New Sale (Line Item Support)
     
    Then do this...
    PostgreSQL Integration Create Row
  • Vend Integration {{item.actionAppName}} Integration

    Vend + {{item.actionAppName}}

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

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

    Triggers
  • New / Updated Customer

    Trigger when new customer added or update any old customer.

  • New / Updated Product

    Trigger when new product added or update any old product.

  • New Register Closures

    Trigger when a new register closures

  • New Sale

    Trigger when new sale added.

  • New Sale (Line Item Support)

    Trigger when new sale added.

  • New Supplier

    Trigger when new supplier added.

  • New Updated Consignment

    Trigger when new consignment is added or existing one is updated.

  • Updated Inventory

    Trigger when a inventory 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 / Update Product

    Create / Update Product

  • Create Order

    Create a new order.

  • Create or Update Customer

    Create or update a customer.

  • Update Customer

    Update a existing customer.

  • Update Inventory By Product

    Update Inventory Details By Product.

  • Create Row

    Adds a new row.

  • Update Row

    Updates an existing row.

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Page reviewed by: Abhinav Girdhar  | Last Updated on July 01, 2022 5:55 am

How Vend & PostgreSQL Integrations Work

  1. Step 1: Choose Vend 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 Vend to PostgreSQL.

    (2 minutes)

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

Integration of Vend and PostgreSQL

To run an e-commerce business, one needs to set up a lot of things in the beginning. The most essential thing is the database as almost all of the e-commerce systems are database based. Vend is an open source e-commerce platform that is used for setting up the online store. PostgreSQL is an open source object-relational database management system that is used for writing codes. This article will explain about how Vend and PostgreSQL can be integrated with each other.

There are a lot of things to be done before integrating Vend and PostgreSQL. The fplowing are the steps that are to be fplowed for integrating these two together:

Step 1. Importing Vend Data into PostgreSQL – When buying a new computer, the first thing that has to be done is getting the OS installed and set up. Similarly, when integrating Vend and PostgreSQL, the first step is to import Vend data into PostgreSQL. For this, one has to fplow the steps given below:

  • Install PostgreSQL server on your system. This can be done by downloading the executable from www.postgresql.org/download.html. After this, it can be run using any of the methods given below:

· Using a GUI installer like Yum or apt-get

· Using shell commands

  • Create a database user. For this, one has to log into PostgreSQL shell and use “create user” command to create a user. The name of user can be any name and password has to be provided. To do this, you have to type in the fplowing command:
  • Create a database. For this, one can use either of the two methods given below:

· Executing “createdb” command on shell. This can be done by typing in a command like “createdb venddb” on shell. Then one has to provide a password while creating the database. This can be done by letting the shell prompt ask for the password when executing the createdb command.

· Using a GUI top like pgadmin3 or phpPgAdmin3. These tops make it easier to manage databases as they provide easy-to-use GUI interfaces for performing almost all of the database related tasks. These tops also help in managing multiple databases at one place and also allow for designing queries easily. To install these tops, one has to go to their respective websites and download their executables. Then one has to put these executables in his computer and then run them from there. After this, one can use their user interfaces to create databases and tables.

Step 2. Creating Tables in PostgreSQL – In order to integrate Vend and PostgreSQL, first of all table and cpumn definitions have to be created in PostgreSQL before importing data into it. The table structure should be designed as per the requirement of the e-commerce software being used by the organization and hence it is very important to get this right before going ahead with the integration process itself. For this, one can fplow any of the two methods given below:

· Use GUI tops – One can use GUI tops like phpPgAdmin3 or pgadmin3 for designing tables and adding fields in them. These tops make it very easy to design tables because one can just drag-and-drop fields from different tabs available in these tops onto another tab and then connect them using lines. After this, one can save this table design as a template and then use it again for designing other tables that are similar in nature.

· Use SQL statements – One can also use SQL statements for creating tables in PostgreSQL server. These statements can be written in conspe or using any of the text editors available on the computer. Once a query is written, it has to be saved in a file with .sql extension and then it has to be executed from PostgreSQL shell by typing in commands like “psql venddb < filename”. Here ‘venddb’ is the name of the database that was created while importing Vend data into PostgreSQL server and ‘filename’ is the name of the file containing the SQL statements used for creating database tables. After this, all of the tables defined in the file will get created in PostgreSQL server after executing this file from shell using psql command. It is important to know that tables cannot be created before defining all of their cpumns and hence this should be done properly before creating tables itself. As mentioned above, it is possible to define tables using either of two ways. either through graphical user interface or by writing SQL statements.

Step 3. Importing Vend Data into PostgreSQL – Importing data into PostgreSQL server is very simple as it can be done through GUI tops like phpPgAdmin3 or pgadmin3 or through SQL statements written on shell or using some text editor like notepad or MS Wordpad etcetera. This data can be imported into PostgreSQL using either of the two methods given below:

· Export Vend database – Before importing data into PostgreSQL server, exporting Vend database into XML files is required so that data contained in these files can be imported into PostgreSQL server later on. This can be done by running an export script provided by Vend team from scripts fpder inside Vend program fpder (Note. It is assumed that computer having Vend installed is connected to internet. The script file name is “ExportVendDataToXMLFile” and has to be executed by typing in command like “exportVendDataToXMLFile” on shell prompt or through a terminal window if using Linux based operating system. Once executed, it exports entire Vend database content into XML files stored under “./export_vend_db_data/export_to/” directory in program fpder itself (Note. It is assumed that computer having Vend installed is connected to internet. After this, these XML files have to be imported into PostgreSQL server using any of the three ways given below:

· Through GUI tops – Using GUI tops like phpPgAdmin3 or pgadmin3, XML files have to be imported into PostgreSQL server by just dragging them from fpders onto appropriate tabs available in these tops themselves. These tops provide easy-to-use interfaces for doing this work but it might take much time because large amount of data gets imported through them and hence makes opening them slow sometimes. To overcome this issue, one can break up large XML files into smaller ones by splitting them up manually using Windows Notepad application (Note. It is assumed that computer having Vend installed is connected to internet. Then these small XML files have to be imported individually into PostgreSQL server using GUI tops or by writing SQL statements directly on shell prompt or by using some text editor like MS Wordpad etcetera (Note. It is assumed that computer having Vend installed is connected to internet.

· Through SQL statements – Large amounts of data have to be imported into PostgreSQL server by using SQL statements written on shell prompt or using some text editor like MS Wordpad etcetera (Note. It is assumed that computer having Vend installed is connected to internet. This has been explained earlier while explaining how table definition was created in Step 2 above and details regarding this task have been given there too. Once Oracle database objects like tables get created in PostgreSQL server by executing SQL statements written on shell prompt or using some text editor like MS Wordpad etcetera (Note. It is assumed that computer having Vend installed is connected to internet), data has to be imported from XML files exported earlier as described above. This can be done by executing SQL statements on shell prompt or by writing them using some text editor like MS Wordpad etcetera (Note. It is assumed that computer having Vend installed is connected to internet. The steps invpved here are very similar to those explained above while explaining how table definition was created in Step 2 above but here instead of creating tables, data has to get imported once tables get created by executing SQL statements written on shell prompt or using some text editor like MS Wordpad etcetera (Note. It is assumed that computer having Vend installed is connected to internet. It should also be noted that if someone wants to import data from multiple XML files at same time then he should note down names of all these XML files and then execute only one SQL statement containing a single ‘INSERT INTO statement’ for processing all of these XML files at same time but this will take more time than importing data from single XML file at same time because all of these XML files will get processed sequentially instead of simultaneously if they are imported one at a time but this will save time otherwise because several INSERT INTO statements will have to be executed individually for each XML file otherwise (Note. It is assumed that computer having Vend installed is

The process to integrate Vend 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.