Knack and PostgreSQL Integration

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Connect Knack to PostgreSQL for powerful data backups and custom reporting. Latenode's visual editor simplifies complex data flows, while affordable pricing handles high volumes without escalating costs.

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Knack

PostgreSQL

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Knack and PostgreSQL

Create a New Scenario to Connect Knack and PostgreSQL

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Knack, triggered by another scenario, or executed manually (for testing purposes). In most cases, Knack or PostgreSQL will be your first step. To do this, click "Choose an app," find Knack or PostgreSQL, and select the appropriate trigger to start the scenario.

Add the Knack Node

Select the Knack node from the app selection panel on the right.

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Knack

Configure the Knack

Click on the Knack node to configure it. You can modify the Knack URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Knack

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Sign In

Run node once

Add the PostgreSQL Node

Next, click the plus (+) icon on the Knack node, select PostgreSQL from the list of available apps, and choose the action you need from the list of nodes within PostgreSQL.

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Knack

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PostgreSQL

Authenticate PostgreSQL

Now, click the PostgreSQL node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your PostgreSQL settings. Authentication allows you to use PostgreSQL through Latenode.

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Knack

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PostgreSQL

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Connect PostgreSQL

Sign In

Run node once

Configure the Knack and PostgreSQL Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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PostgreSQL Oauth 2.0

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Select an action *

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Map

The action ID

Run node once

Set Up the Knack and PostgreSQL Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Knack, PostgreSQL, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the Knack and PostgreSQL integration works as expected. Depending on your setup, data should flow between Knack and PostgreSQL (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Knack and PostgreSQL

Knack + PostgreSQL + Google Sheets: When a new record is created in Knack, it is added to a PostgreSQL database. Data from the PostgreSQL database is then used to update rows in Google Sheets for reporting purposes.

PostgreSQL + Knack + Slack: When a row is updated in PostgreSQL, the corresponding record in Knack is updated. Then, a Slack message is sent to a channel to notify users of the changes.

Knack and PostgreSQL integration alternatives

About Knack

Use Knack with Latenode to build custom database apps and automate workflows. Connect Knack data to other services, like CRMs or marketing tools, without code. Latenode lets you transform and route Knack data, create advanced logic, and scale automation beyond Knack's built-in limits, all visually and affordably.

About PostgreSQL

Use PostgreSQL in Latenode to automate database tasks. Build flows that react to database changes or use stored data to trigger actions in other apps. Automate reporting, data backups, or sync data across systems without code. Scale complex data workflows easily within Latenode's visual editor.

See how Latenode works

FAQ Knack and PostgreSQL

How can I connect my Knack account to PostgreSQL using Latenode?

To connect your Knack account to PostgreSQL on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Knack and click on "Connect".
  • Authenticate your Knack and PostgreSQL accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I sync Knack data to PostgreSQL for backups?

Yes! Latenode lets you easily sync data from Knack to PostgreSQL for secure backups. Benefit from Latenode's scheduling features and ensure your data is always protected and readily available.

What types of tasks can I perform by integrating Knack with PostgreSQL?

Integrating Knack with PostgreSQL allows you to perform various tasks, including:

  • Automatically backing up Knack data to a PostgreSQL database.
  • Creating custom reports by querying combined Knack and PostgreSQL data.
  • Triggering actions in Knack based on changes in your PostgreSQL database.
  • Synchronizing customer data between Knack and PostgreSQL in real-time.
  • Using AI in Latenode to transform data during synchronization.

HowdoesLatenodehandleKnackdatachangesinPostgreSQL?

Latenode uses triggers and webhooks to instantly detect and replicate Knack data changes to your PostgreSQL database, ensuring data consistency.

Are there any limitations to the Knack and PostgreSQL integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Initial data synchronization may take time depending on data volume.
  • Complex data transformations may require custom JavaScript code.
  • API rate limits of Knack and PostgreSQL might affect high-volume workflows.

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