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How Knack Flows Works

Knack’s no-code PostgreSQL integration merges the strength of PostgreSQL’s backend database management with Knack’s intuitive interface. By connecting with PostgreSQL’s API, you can manage, update, and visualize complex data while keeping permissions and authentication secure. This integration makes it simple for businesses to work with large datasets, automate workflows, and monitor metrics, all while accessing PostgreSQL’s powerful data processing capabilities.

Knack Flows Step 1

Choose a Trigger from PostgreSQL

Start by selecting a PostgreSQL-based event to initiate your Knack workflow, such as a “New Row” added to a table. This setup allows Knack to respond instantly to backend changes in PostgreSQL, automating processes like creating records, syncing updates, or notifying users. For example, each time a new row is added to PostgreSQL, Knack can be triggered to mirror these changes, enhancing data consistency across platforms without manual intervention.
 

Knack Flows Step 2

Set Up an Action in Knack

Once the PostgreSQL trigger is activated, determine what action you want Knack to take. Knack can create, update, or retrieve data from PostgreSQL based on a variety of use cases. You can configure workflows to handle data from specific database names or hostname environments, allowing fine control over data flow between PostgreSQL and Knack. This extensibility ensures that data management remains efficient across operating systems, including Linux and Windows environments.

Knack Flows Step 3

Connect and Automate

That’s it! Your PostgreSQL server and Knack apps are now connected. With Knack Flows, you can set up data pipelines that automate processes, reduce manual input, and keep all your records updated in real time. This integration simplifies workflows, allowing you to focus on metrics, performance, and growth while Knack handles data transfer from the backend with ease.

Connect Your Workflow Now

Effortlessly integrate Knack and PostgreSQL with these pre-built templates:

Add New Knack Records to PostgreSQL as Rows
Update Knack Records from New or Updated Rows in PostgreSQL
Update Rows in PostgreSQL When Records are Updated in Knack
Create Records in Knack from New Rows in PostgreSQL

Maximize your Capabilities with Knack and PostgreSQL

Knack: No-Code Application Development Platform
Data Syncing

Automate data syncing between Knack and PostgreSQL, allowing seamless updates and real-time visibility into metrics across platforms and environments.

 

Knack: No-Code Application Development Platform
Reporting

With Knack’s interface, non-technical users can easily interact with data from PostgreSQL, enabling SQL query results to be viewed, filtered, and analyzed without backend knowledge.

 

Knack: No-Code Application Development Platform
Data Management

Integrate Knack with PostgreSQL using environment variables and IP address control to ensure secure API calls. Knack’s extensibility means you can adapt workflows based on database size, data sources, or hostname requirements.

 

 

Knack: No-Code Application Development Platform
Monitoring

Set up workflows that allow Knack to monitor key metrics from PostgreSQL, improving your team’s ability to track performance and make data-driven decisions.

 

Knack: No-Code Application Development Platform
Data Replication

Replicate essential data between Knack and PostgreSQL, keeping records consistent, improving response times, and eliminating redundant entry tasks.

 

About PostgreSQL

PostgreSQL is an open-source relational database known for its robustness and scalability. With support for SQL queries, replication, JSON data, and extensible modules, PostgreSQL provides an adaptable backend solution for complex data needs. When integrated with Knack, PostgreSQL’s advanced features—like secure IP-based permissions and support across localhost and cloud-hosted environments—become accessible to users across your organization, enabling efficient data management and real-time reporting.

Other tools: MySQL, Microsoft SQL Server, Google Cloud, Amazon RDS

PostgreSQL
PostgreSQL

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