PostgreSQL
What is PostgreSQL?
PostgreSQL is a powerful open-source relational database used to store and query structured data for applications, analytics, and internal systems. By connecting PostgreSQL to Konnectify, you can turn database events (like new rows) into automated workflows and run parameterized queries/functions as part of end-to-end integrations.
This is especially useful when PostgreSQL is your system of record and you need to sync data to other tools, enrich records, or generate downstream actions whenever new data appears.
Get PostgreSQL running locally or in the cloud, then create a database and user with access to the tables you want to automate.
Visit PostgreSQL.orgBuild workflows with triggers and actions, map fields, test runs, and go live—without managing infrastructure.
Create a Konnectify accountAPI & authentication
This connector authenticates using your PostgreSQL host, port, database name, and a username/password. Konnectify uses these credentials only to connect and run the trigger polling queries and action queries/functions you configure.
- Poll a table for new rows using cursor-based tracking.
- Poll with a custom SELECT query using cursor-based tracking.
- Execute a custom SELECT query and return one matching row.
- Execute a custom SELECT query and return all matching rows.
- Execute a stored PostgreSQL function.
- Ensure the database user has only the minimum required permissions (recommended: read-only for query-only workflows).
- Polling frequency and query complexity affect load on your database. Use indexes and cursor columns (like an incrementing ID or timestamp).
- Some managed PostgreSQL providers impose connection limits and query timeouts. If you see intermittent failures, check provider limits and scale accordingly.
Official documentation: PostgreSQL Docs
How to connect
- A reachable PostgreSQL host (publicly accessible or via your network/VPN as applicable).
- Port (commonly 5432).
- Database name.
- Database user and password with required permissions.
- SSL/TLS requirements as configured by your database provider (if applicable).
Add PostgreSQL to a Workflow
- Open your Konnectify workspace and create (or open) a Workflow.
- Click Add step and select PostgreSQL from the apps list.
Authorize via database credentials
- Enter your PostgreSQL Host, Port, Database Name, Username, and Password.
- Save the connection. Konnectify will validate connectivity when possible.
Configure the Trigger or Action
- Select the Trigger (e.g., New Row) or an Action (e.g., Execute Query).
- Provide the required query/table/function fields and map any dynamic inputs.
- For query actions, use {{placeholder}} syntax for dynamic values coming from earlier steps.
- Prefer indexed cursor columns for polling (e.g., an increasing ID or created_at timestamp).
- Avoid long-running queries in triggers; keep polling lightweight to prevent timeouts and reduce DB load.
Test the Workflow
- Run a test to confirm the connection and validate your query results.
- If using a polling trigger, insert a new test row and confirm the trigger picks it up.
Activate the Workflow
- Turn on the Workflow.
- Monitor initial runs and adjust polling/query settings if needed.
Triggers 2
PostgreSQL triggers in Konnectify are poll-based. Konnectify periodically runs your configured table/query and uses cursor-based tracking to identify new results without reprocessing older rows.
Actions 3
Use actions to run parameterized queries (single-row or multi-row results) and to execute stored PostgreSQL functions as part of your workflow.
Popular automations
Examples of common PostgreSQL workflows you can build with the available triggers and actions.
Enrich new records with lookup data
When a new row is inserted, run a single-row query to fetch related details (e.g., user profile, account info) and pass it downstream.
Build a scheduled export/report workflow
Poll with a custom query to find newly eligible rows, then fetch all matching rows for a consolidated report step.
Run business logic using a stored function
When a new row arrives, call a PostgreSQL function to compute derived fields, validate data, or generate normalized outputs.
Detect duplicates or conflicts early
Poll for new candidate rows and immediately query for an existing match (by email, external_id, etc.) so you can branch logic in later steps.
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