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The platform to set data in motion.

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Integrate the Confluent API with the PostgreSQL API

Setup the Confluent API trigger to run a workflow which integrates with the PostgreSQL API. Pipedream's integration platform allows you to integrate Confluent and PostgreSQL remarkably fast. Free for developers.

Popular Confluent and PostgreSQL Triggers

New Column from the PostgreSQL API

Emit new event when a new column is added to a table. See the documentation

 
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New or Updated Row from the PostgreSQL API

Emit new event when a row is added or modified. See the documentation

 
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New Row from the PostgreSQL API

Emit new event when a new row is added to a table. See the documentation

 
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New Row Custom Query from the PostgreSQL API

Emit new event when new rows are returned from a custom query that you provide. See the documentation

 
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New Table from the PostgreSQL API

Emit new event when a new table is added to the database. See the documentation

 
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Popular Confluent and PostgreSQL Actions

Delete Row(s) with the PostgreSQL API

Deletes a row or rows from a table. See the documentation

 
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Execute Custom Query with the PostgreSQL API

Executes a custom query you provide. See the documentation

 
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Find Row with the PostgreSQL API

Finds a row in a table via a lookup column. See the documentation

 
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Find Row With Custom Query with the PostgreSQL API

Finds a row in a table via a custom query. See the documentation

 
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Insert Row with the PostgreSQL API

Adds a new row. See the documentation

 
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Overview of Confluent

The Confluent API provides programmatic interaction with Confluent Cloud, a fully managed Kafka service. It lets you manage Kafka clusters, topics, users, and configurations, enabling seamless integration and data streaming capabilities. With Pipedream, you can create workflows that automate interactions with your Kafka infrastructure, such as triggering events on message arrival, managing topics, or integrating Kafka data with other services.

Connect Confluent

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    confluent: {
      type: "app",
      app: "confluent",
    }
  },
  async run({steps, $}) {
    const data = {
      "topic_name": `pipedream-test`,
    }
    return await axios($, {
      method: "post",
      url: `https://${this.confluent.$auth.rest_endpoint_url}/kafka/v3/clusters/${this.confluent.$auth.cluster_id}/topics`,
      headers: {
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.confluent.$auth.api_key}`,
        password: `${this.confluent.$auth.api_secret}`,
      },
      data,
    })
  },
})

Overview of PostgreSQL

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Connect PostgreSQL

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import postgresql from "@pipedream/postgresql"

export default defineComponent({
  props: {
    postgresql,
  },
  async run({ steps, $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql

    const queryObj = {
      text: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.postgresql.executeQuery(queryObj);
    return rows;
  },
})
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