STEP 1
Connect Kafka and PostgreSQL
Save credentials in WEXTL once. We store them encrypted and reuse the authorization across every workflow [3]. No coding or API skills required.
Kafka and PostgreSQL Integration
Combine the built-in Kafka node with PostgreSQL on the WEXTL® visual workflow builder. Drop Kafka anywhere in your PostgreSQL automation to run its logic between steps — the two live side by side on the same canvas, so you build the whole flow visually without a single line of code.
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Learn about Kafka and PostgreSQL
Detailed info you need to know about Kafka and PostgreSQL integrations in WEXTL. Explore which modules apps support and how you connect them.
Kafka
Send messages to a Kafka topic, and start a workflow when new messages arrive on one. Works with Apache Kafka and managed services such as Confluent Cloud, Amazon MSK, Redpanda and Aiven, over TLS. [5]
PostgreSQL
Read and change rows in a PostgreSQL database, run your own query, and start a workflow when new rows appear. Works with PostgreSQL, Supabase, Neon, AWS RDS and other PostgreSQL servers. [6]
How to connect Kafka to PostgreSQL
Set up your Kafka and PostgreSQL integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected Kafka and PostgreSQL nodes onto the canvas [4], or describe what you want and WEXTL wires the flow together with AI Builder.
STEP 3
Map your data
Choose which fields need to sync between Kafka and PostgreSQL. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between Kafka and PostgreSQL work in WEXTL?
WEXTL exposes actions and triggers for Kafka and PostgreSQL that help you connect apps and automate repetitive tasks [1]. A trigger is an event that happens, an action — a step that performs when the event has occurred.
Kafka (built-in)PostgreSQL (built-in)
Kafka modules
- Send a messageSend a message to a Kafka topic and wait for the cluster to confirm it.K
- Watch messagesStart a workflow when new messages arrive on a Kafka topic. Checks on your workflow schedule and keeps its own position.K
PostgreSQL modules
- Delete rowsDelete the rows that match your conditions.P
- Execute a queryRun your own SQL, with values passed as parameters.P
- Insert a rowAdd a row to a table and get it back.P
- Insert or update a rowAdd a row, or update it when a row with the same key already exists.P
- Select rowsRead rows from a table with simple conditions, a sort and a limit.P
- Update rowsChange the rows that match your conditions.P
- Watch rowsStart a workflow when new or changed rows appear in a table. Checks on your workflow schedule.P
Explore alternative integrations
There are other apps [9] supported by WEXTL that can be paired with Kafka and PostgreSQL integrations. Pick any from the list below if the current combination isn't the one you need.
Frequently asked questions
Common questions about connecting Kafka and PostgreSQL.
Connect your Kafka and PostgreSQL accounts once, pick a trigger in one app and an action in the other, then map the fields so data flows automatically between them. [3]
Example: when Kafka's "Watch messages" fires, WEXTL can "Delete rows" in PostgreSQL. Kafka has 1 trigger (including Watch messages); PostgreSQL has 6 actions (including Delete rows, Execute a query, and Insert a row). Add filters and transforms between steps when you need them. [1]
Yes — the integration works in both directions. Use each app's triggers to start a workflow and the other app's actions to update it. [2]
No. Kafka-to-PostgreSQL automations are built visually on the canvas. You can optionally add custom JavaScript with Functions when you need advanced logic. [4]
Yes. Trigger-based automations start the moment Kafka (or PostgreSQL) fires a new event — webhook-backed apps run within seconds, and polling-only apps re-check on a schedule you control. [7]
A first automation typically takes 5–10 minutes: connect each app's credential once, drop a trigger + action onto the canvas, map the fields, and turn the workflow on.
You can build your Kafka + PostgreSQL automation on a 3-day trial with every feature unlocked. Cancel anytime. For your protection, a small deposit is charged to your card when your trial starts. It counts toward your first payment and is non-refundable. [8]
References
List of sources used to gather information about the Kafka and PostgreSQL integration.
- Kafka and PostgreSQL integration source code, module specs and credentials implementation.
- Our Kafka and PostgreSQL integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for Kafka and PostgreSQL — used to verify field meanings, authentication flows, and anything our own specs don't fully capture.
- WEXTL® visual workflow builder, anonymized data from our technical support team.
- Kafka integration information
- PostgreSQL integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library