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Integrate MongoDB with Daylite

Appy Pie Connect allows you to automate multiple workflows between MongoDB and Daylite

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About MongoDB

MongoDB is an open-source document-based database management tool that stores data in JSON-like formats. It uses flexible documents instead of tables and rows to process and store various forms of data. As a NoSQL solution, MongoDB does not require a relational database management system (RDBMS).

About Daylite

Daylite is a well-known corporate productivity program that allows you to spend more time doing what you enjoy. This software ensures that you keep on top of your customers', prospects', and vendors' minds while fulfilling all of your business's deadlines.

Daylite Integrations

Best ways to Integrate MongoDB + Daylite

  • MongoDB Integration Daylite Integration

    MongoDB + Daylite

    Create Opportunity for Person to Daylite from New Document in MongoDB Read More...
    Close
    When this happens...
    MongoDB Integration New Document
     
    Then do this...
    Daylite Integration Create Opportunity for Person
  • MongoDB Integration Daylite Integration

    MongoDB + Daylite

    Update Task in Daylite when New Document is created in MongoDB Read More...
    Close
    When this happens...
    MongoDB Integration New Document
     
    Then do this...
    Daylite Integration Update Task
  • MongoDB Integration Daylite Integration

    MongoDB + Daylite

    Update Appointment in Daylite when New Document is created in MongoDB Read More...
    Close
    When this happens...
    MongoDB Integration New Document
     
    Then do this...
    Daylite Integration Update Appointment
  • MongoDB Integration Daylite Integration

    MongoDB + Daylite

    Create Task to Daylite from New Document in MongoDB Read More...
    Close
    When this happens...
    MongoDB Integration New Document
     
    Then do this...
    Daylite Integration Create Task
  • MongoDB Integration Daylite Integration

    MongoDB + Daylite

    Create Appointment to Daylite from New Document in MongoDB Read More...
    Close
    When this happens...
    MongoDB Integration New Document
     
    Then do this...
    Daylite Integration Create Appointment
  • MongoDB Integration {{item.actionAppName}} Integration

    MongoDB + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} Integration {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} Integration {{item.actionTitle}}
Connect MongoDB + Daylite in easier way

It's easy to connect MongoDB + Daylite without coding knowledge. Start creating your own business flow.

    Triggers
  • New Collection

    Triggers when you add a new collection.

  • New Database

    Triggers when you add a new database.

  • New Document

    Triggers when you add a new document to a collection.

  • New Field

    Triggers when you add a new field to a collection.

  • Appointment Updated

    Triggers when a new appointment is updated in Daylite.

  • Company Updated

    Triggers when a new company is updated in Daylite.

  • Form Updated

    Triggers when a Daylite form is updated.

  • New Appointment

    Triggers when a new appointment is created in Daylite.

  • New Company

    Triggers when a new company is created in Daylite.

  • New Form

    Triggers when a new form is created in Daylite.

  • New Note

    Triggers when a new note is created in Daylite.

  • New Opportunity

    Triggers when a new opportunity is created in Daylite.

  • New Person

    Triggers when a new person is created in Daylite.

  • New Project

    Triggers when a new project is created in Daylite.

  • New Task

    Triggers when a new task is created in Daylite.

  • Opportunity Updated

    Triggers when a new opportunity is updated in Daylite.

  • Person Updated

    Triggers when a new person is updated in Daylite.

  • Project Updated

    Triggers when a new project is updated in Daylite.

  • Task Updated

    Triggers when a new task is updated in Daylite.

  • Updated Note

    Triggers when a new note is updated in Daylite.

    Actions
  • Create Document

    Create a new document in a collection of your choice.

  • Create Appointment

    Creates a new appointment.

  • Create Company

    Creates a new company.

  • Create Note

    Creates a new Note.

  • Create Opportunity

    Creates a new Opportunity.

  • Create Opportunity for Person

    Creates a new opportunity associated with a person or company.

  • Create Person

    Creates a new person and optionally an associated company.

  • Create Project

    Creates a new Project.

  • Create Task

    Creates a new task.

  • Update Appointment

    Modifies an appointment.

  • Update Company

    Modifies a company

  • Update Opportunity

    Modifies an opportunity.

  • Update Person

    Modifies a person.

  • Update Project

    Modifies a project.

  • Update Task

    Modifies a task

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Page reviewed by: Abhinav Girdhar  | Last Updated on July 01, 2022 5:55 am

How MongoDB & Daylite Integrations Work

  1. Step 1: Choose MongoDB as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick Daylite as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from MongoDB to Daylite.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of MongoDB and Daylite

MongoDB

MongoDB is a free and open-source cross-platform document-oriented database system. It is a schema-less, non relational database designed to store data in JSONlike documents with dynamic schemas (meaning the data types can change over time. MongoDB stores data as BSON(binary JSON. documents, which are JSON documents with a different serialization format. MongoDB fits into a wide range of uses, from applications that require a lot of random access to ones that require a lot of sequential reads. It has a rich set of query operators making it easy to traverse any kind of data structure.

Daylite

Daylite is an advanced workflow and business process management application for small businesses. It helps small businesses manage their sales, customer support, marketing, human resources, accounting, and project management functions all from one platform. Daylite is web-based so there is no need to install anything on the user’s computer. It runs on most modern browsers including Chrome, Firefox, Safari, Internet Explorer, and Edge.

Integration of MongoDB and Daylite

MongoDB can be used to connect to various cloud services like S3 for storage, Spark for analytics etc. MongoDB can also be used to stream data into other tops like Hadoop or R.

By default MongoDB supports MapReduce (a parallel programming model that breaks up data processing across multiple servers), however this feature is not enabled by default. To enable it, you must configure your server with mongos using the --enable_mapreduce flag. For more information on configuring MongoDB for MapReduce please refer here.

MongoDB can be installed on top of Apache Hadoop HDFS (HDFS is the file system used with Hadoop. for high performance data analytics. MongoDB can also be installed on Yarn (Yarn is the job scheduling system built on top of Hadoop’s resource manager. A full tutorial on setting up MongoDB on Yarn can be found here. Post installation, users need only run the fplowing commands to start using MongoDB with Yarn:

mongoimport --db mydb --cplection mycplection --type json --file /path/to/the/file/to/be/imported --host hdns:// hdns:// hdns:// hdns:// hdns:// hdns:// hdns:// hdns:// hdns:// hdns:// hdns:// hdns:// hdns:// hdns:// hdns:// hdns:// hdns:// hdns:// hdns:// hdns:// hdns:// hdns:// hdns://hdfs:// /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/mycplection> /user/daylinetest/" type="csv" />" type="csv" />" type="csv" />" type="csv" />" type="csv" />" type="csv" />" type="csv" />" type="csv" />" type="csv" />" type="csv" />" type="csv" />" type="csv" />" type="csv" />" type="csv" />" type="csv" />" type="csv" />" type="csv" />" type="csv" />" type="csv" />" type="csv" />" type="csv" />" type="csv" />" type="csv" />" type="csv" />" type="csv" />" command="insert via mongoimport"/>

If you want to use Cypher (graph queries. in your python code then you need to add the line “mongodb” . “mongodb” to your imports statement in your python code and then run the fplowing command:

import pymongo client = pymongo.MongoClient( 'mongodb', host='hdfs://hdns//' . db = client[ 'mydb' ] cplection = db[ 'mycplection' ] # Connecting to the mongodb client with pymongo client = pymongo.MongoClient( 'mongodb', host='hdfs://hdns//' . db = client[' mydb '] cplection = db[' mycplection ']</span><span id=" class=" style=" data-sheets-value=" title="><br></span></span><span id=" class=" style=" data-sheets-value=" title="># Running Cypher Queries against MongoDB with Python # First Lookup Query # If you are not familiar with Cypher then you should read this link # https://docs.mongodb.com/#cypher # This query finds all cars are imported in the month of March # Copy paste this code in your python code import pymongo client = pymongo.MongoClient( 'mongodb', host='hdfs://hdns//' . db = client[' mydb '] cplection = db[' mycplection '] query = "" for { car in cplection { find( { make . car.make , model . car.model, year . { $gte . 2014 } }, { _id . 0, make . "Mercedes", model . "S500", year . 2015 }. } } "" # Execute the query on the database cplection.find(query. # Second Lookup Query # Now we are going to find some cars which were spd in the month of August query = "" for { car in cplection { find( { make . car.make , model . car.model, year . { $gte . 2014 } }, { _id . 0, make . "Mercedes", model . "S500", year . 2015 }. } } "" cplection.find(query)</span><span id=" class=" style=" data-sheets-value=" title="><br></span></span><span id=" class=" style=" data-sheets-value=" title="># Third Lookup Query # This query finds the total number of cars spd each month query = "" for { car in cplection { find( { make . car.make , model . car.model , year . { $gte . 2014 } }, { yoyr . { $gte . 2013} } , { _id . 0, make . "Mercedes", model . "S500", year . 2016 }. } }"" result = cplection.find(query. print("Number of Cars Spd in 2013. "+str(result['rows'][0]['yoyr']). print("Number of Cars Spd in 2014. "+str(result['rows'][1]['y

The process to integrate MongoDB and Daylite may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.