Gigasheet

The big data spreadsheet that combines database power with cloud scale.

Integrate the Gigasheet API with the PostgreSQL API

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

Create Export with Gigasheet API on New Column from PostgreSQL API
PostgreSQL + Gigasheet
 
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Create Export with Gigasheet API on New or Updated Row from PostgreSQL API
PostgreSQL + Gigasheet
 
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Create Export with Gigasheet API on New Row Custom Query from PostgreSQL API
PostgreSQL + Gigasheet
 
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Create Export with Gigasheet API on New Row from PostgreSQL API
PostgreSQL + Gigasheet
 
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Create Export with Gigasheet API on New Table from PostgreSQL API
PostgreSQL + Gigasheet
 
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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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Create Export with the Gigasheet API

Creates an export for a gigasheet dataset. 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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Download Export with the Gigasheet API

Downloads an export from Gigasheet. 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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Upload Data From URL with the Gigasheet API

Uploads data from a URL to Gigasheet. See the documentation

 
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Overview of Gigasheet

The Gigasheet API enables users to manipulate large-scale data sheets within the cloud effortlessly. Through Pipedream, you can leverage this functionality to automate data analysis, manipulation, and enrichment workflows. By connecting Gigasheet with other apps, you can streamline processes like data import, transformation, and sharing, making Pipedream an ideal platform to enhance productivity and data handling efficiency.

Connect Gigasheet

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    gigasheet: {
      type: "app",
      app: "gigasheet",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.gigasheet.com/user/whoami`,
      headers: {
        "X-GIGASHEET-TOKEN": `${this.gigasheet.$auth.api_key}`,
        "accept": `application/json`,
      },
    })
  },
})

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;
  },
})