PostgreSQL + uProc Integrations

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

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 uProc

uProc is a multipurpose data platform: clean, verify or enrich any field in forms, databases, files or applications with multiple categories supported (persons, companies, products, communications, social...).

uProc Integrations

Best PostgreSQL and uProc 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 Pipedrive

    uProc + Pipedrive

    Add persons in Pipedrive from new uProc people list entries Read More...
    When this happens...
    PostgreSQL New Profile Added to List
    Then do this...
    Pipedrive Create Person
    Don't waste time entering data manually. Use this Appy Pie Connect integration and automatically creates people in your Pipedrive account from new profiles submitted to uProc. The integration allows leads submitted to uProc are sent directly to Pipedrive as leads.
    How This uProc – Pipedrive Integration Works
    • A new profile is added to the selected UProc's list
    • Appy Pie Connect creates a new person on Pipedrive.
    What You Need
    • uProc account
    • Pipedrive account
  • PostgreSQL Pipedrive

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

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

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

  • 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 Row

    Adds a new row.

  • Update Row

    Updates an existing row.

  • Select Tool

    Select a tool to perform verification or enrichment

How PostgreSQL & uProc 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 uProc as an action app.

    (30 seconds)

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

    (10 seconds)

  5. Step 5: Authenticate uProc 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 uProc


PostgreSQL is a relational database management system, or RDBMS. The PostgreSQL project began in the mid-1980s when it was known as POSTgres. It is an open source database that can be used by anyone for free. It is developed by a community of developers and contributors. Some major companies use PostgreSQL to store their data, such as Huawei, IBM, and Credit Suisse. According to the PostgreSQL website, “PostgreSQL is a powerful, open source object-relational database system.”


uProc is a web application framework for Java applications. This framework is very similar to JSP but has several advantages over JSP. One advantage uProc has over JSP is that it uses the Servlet API instead of its own API. The Servlet API allows uProc to be used with other frameworks and does not cause interoperability issues. Another advantage of uProc over JSP is that it is much faster than JSP.

Integration of PostgreSQL and uProc

When working on large projects using traditional relational databases, it can become time consuming to retrieve information from the database. To avoid this problem, the use of a web service can be used to streamline this process. Web services are basically a protocp that enables two different systems to communicate with each other across a network. In this case, the two different systems are a web service and a relational database. With this integration, the web service calls the database and stores the results in memory where it can be accessed by the web service without having to re-query the database repeatedly.

The integration of PostgreSQL and uProc provides several benefits including fast querying of data, low latency, more flexibility for the user, and ease of use. Data can be queried quickly because with this integration, the data from the database is stored in memory so it can be accessed much quicker than if it were being retrieved from the database every time. Because data is stored in memory, there is no need to wait for long query times, which are common with traditional database systems. The integration also provides more flexibility for users because they can create more interactive sites without having to worry about the performance issues taking away from the overall experience of the site. The integration also allows for ease of use because it removes most of the burden from the developer who wants to create an interactive site that makes use of a relational database.

Benefits of Integration of PostgreSQL and uProc

The benefits of integrating PostgreSQL and uProc include faster development time, better performance, and easier maintenance. Using uProc with PostgreSQL allows developers to create sites faster because they do not have to write code to connect and query the database. Instead, all of this code is done for them by uProc using the PostgreSQl JDBC driver. Because this code has already been written for them, they do not have to spend time writing it themselves or debugging it if something goes wrong with it. Also, because the code is done for them, they do not have to worry about compatibility issues between different systems that may be trying to connect to their database at one time causing slow performance in their application. By using uProc with PostgreSQL, developers can focus on making their site look nice instead of having to worry about creating a connection and making sure their site runs correctly with just plain SQL queries. Lastly, integrating uProc with PostgreSQL allows for easier maintenance because uProc provides a common interface for accessing data from multiple sources. This common interface allows developers to create a single piece of code that can be used to access a relational database or any other type of data source that supports this common interface. This cuts down on maintenance time significantly because they can reuse code instead of rewriting it multiple times for each new database they integrate into their application.

In conclusion, I believe that integrating PostgreSQL and uProc into applications can provide many benefits including faster development time, better performance, and decreased maintenance time. These benefits would allow developers more time to focus on developing their application rather than worrying about how to connect to a database or how to make sure their application works correctly with their database environment.

The process to integrate PostgreSQL and uProc 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.