Microsoft SQL Server

Unleash the power of your data—on-premises, in the cloud, or at the edge—and reveal insights to transform your business.

Integrate the Microsoft SQL Server API with the MongoDB API

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

Create New Document with MongoDB API on New Column from Microsoft SQL Server API
Microsoft SQL Server + MongoDB
 
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Create New Document with MongoDB API on New Or Updated Row from Microsoft SQL Server API
Microsoft SQL Server + MongoDB
 
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Delete a Document with MongoDB API on New Column from Microsoft SQL Server API
Microsoft SQL Server + MongoDB
 
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Delete a Document with MongoDB API on New Or Updated Row from Microsoft SQL Server API
Microsoft SQL Server + MongoDB
 
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Execute Aggregation with MongoDB API on New Column from Microsoft SQL Server API
Microsoft SQL Server + MongoDB
 
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New Column from the Microsoft SQL Server API

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

 
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New Or Updated Row from the Microsoft SQL Server API

Triggers when a new row is added or an existing row is updated. See the documentation

 
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New Collection from the MongoDB API

Emit new an event when a new collection is added to a database

 
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New Database from the MongoDB API

Emit new an event when a new database is added

 
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New Document from the MongoDB API

Emit new an event when a new document is added to a collection

 
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Execute Query with the Microsoft SQL Server API

Executes a SQL query and returns the results. See the documentation

 
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Create New Document with the MongoDB API

Create a new document in a collection of your choice. See the docs here

 
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Insert Row with the Microsoft SQL Server API

Inserts a new row in a table. See the documentation

 
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Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

 
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Execute Aggregation with the MongoDB API

Execute an aggregation pipeline on a MongoDB collection. See the documentation

 
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Overview of Microsoft SQL Server

With the Microsoft SQL Server API on Pipedream, you can automate your database operations and create powerful integrations. This API allows you to execute queries, manage databases, and trigger actions based on data changes. Implementing workflows that react to database events, manipulate data, or synchronize SQL Server data with other services, becomes effortless with Pipedream's serverless platform.

Connect Microsoft SQL Server

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import sql from "mssql"
export default defineComponent({
  props: {
    microsoft_sql_server: {
      type: "app",
      app: "microsoft_sql_server",
    }
  },
  async run({steps, $}) {
    const { host, username, password, port, database } = this.microsoft_sql_server.$auth
    const conn_str = `Server=${host},${port};Database=${database};User Id=${username};Password=${password};Encrypt=true`;
    await sql.connect(conn_str);
    return await sql.query`SELECT GETDATE()`
  },
})

Overview of MongoDB

The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.

Connect MongoDB

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import mongodb from 'mongodb'

export default defineComponent({
  props: {
    mongodb: {
      type: "app",
      app: "mongodb",
    },
    collection: {
      type: "string"
    },
    filter: {
      type: "object"
    }
  },
  async run({steps, $}) {
    const MongoClient = mongodb.MongoClient
    
    const {
      database,
      hostname,
      username,
      password,
    } = this.mongodb.$auth
    
    const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
    const client = await MongoClient.connect(url, { 
      useNewUrlParser: true, 
      useUnifiedTopology: true 
    })
    
    const db = client.db(database)

    const results = await db.collection(this.collection).find(this.filter).toArray();
    $.export('results', results);
    
    await client.close()
  },
})