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Qualetics AI Management System (AIMS) offers basic to advanced AI capabilities that embed and integrate into your products & systems.

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PostgreSQL

Integrate the Qualetics API with the PostgreSQL API

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

Popular Ways to Connect Qualetics with PostgreSQL

Run Data Machine with Qualetics API on New Column from PostgreSQL API
PostgreSQL + Qualetics
 
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Run Data Machine with Qualetics API on New or Updated Row from PostgreSQL API
PostgreSQL + Qualetics
 
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Run Data Machine with Qualetics API on New Row Custom Query from PostgreSQL API
PostgreSQL + Qualetics
 
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Run Data Machine with Qualetics API on New Row from PostgreSQL API
PostgreSQL + Qualetics
 
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Run Data Machine with Qualetics API on New Table from PostgreSQL API
PostgreSQL + Qualetics
 
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Popular Qualetics 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 Qualetics and PostgreSQL Actions

Run Data Machine with the Qualetics API

Initiates a previously designed data machine within Qualetics, executing the specific analytical tasks it was built for. See the documentation

 
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Delete Row(s) with the PostgreSQL API

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

 
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Send Data with the Qualetics API

Send an event with data to the system. 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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Overview of Qualetics

The Qualetics API provides data intelligence as a service, allowing you to transform your data into actionable insights. With this API, you can perform advanced data analysis, predict trends, and generate reports to make informed decisions swiftly. On Pipedream, Qualetics can be integrated into workflows to automate data analysis, connect with other services for enriched data operations, and trigger actions based on the insights derived.

Connect Qualetics

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    qualetics: {
      type: "app",
      app: "qualetics",
    }
  },
  async run({steps, $}) {
    const data = {"actor":{"type":"User","id":"js1234"},"action":{"type":"ButtonClick"},"context":{"type":"Button","name":"Button1"}};//"{{your_data}}";
    //E.g. {"actor":{"type":"User","id":"js1234"},"action":{"type":"ButtonClick"},"context":{"type":"Button","name":"Button1"}}
    return await axios($, {
      method: "post",
      url: `https://mq.qualetics.com/api/sendmessage?client_id=${this.qualetics.$auth.app_prefix}`,
      headers: {
        Authorization: `Bearer ${this.qualetics.$auth.oauth_access_token}`,      
      },
      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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