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MongoDB + Mixpanel Integrations

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

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 Mixpanel

Mixpanel provides product analytics for understanding user behavior in apps & websites. Build better products faster with instant insights.

Mixpanel Integrations
Connect MongoDB + Mixpanel in easier way

It's easy to connect MongoDB + Mixpanel 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.

    Actions
  • Create Document

    Create a new document in a collection of your choice.

  • Create or Update Profile

    Create a new profile or update properties of an existing profile.

  • Track Event

    Send an Event to Mixpanel.

How MongoDB & Mixpanel Integrations Work

  1. Step 1: Choose MongoDB as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate MongoDB with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select Mixpanel as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate Mixpanel with Appy Pie Connect.

    (2 minutes)

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

Integration of MongoDB and Mixpanel

MongoDB?

MongoDB[1] is a document database that uses JSON-like documents with dynamic schemas. It is a NoSQL database, meaning that it is not based on SQL standards nor relational models. It stores data as BSON (binary JSON. documents, which can be queried and manipulated through JavaScript code. The documents are stored in a cplection and are organized by a flexible schema. This allows for fast writes, easy scaling, and high availability.

Mixpanel?

Mixpanel[2] is an analytics platform that aims to help businesses and individuals acquire, retain, and engage users by tracking event-based interactions that happen within a website or app. In simple terms, it records every user interaction, such as pageviews or button clicks, and reports the data back to the user programmatically. It also has a “funnel” feature, which reports how many users went from one step in a process to the next step. It can be used for things like A/B testing, building conversion funnels, and finding out more about your visitors.

Integration of MongoDB and Mixpanel

MongoDB integration with Mixpanel means that you can insert Mixpanel events into MongoDB to store certain data and retrieve it later using MongoDB queries. This can be useful if your business needs to store data such as user information for a long period of time. Mixpanel inserts several different types of data into MongoDB for this purpose. These include:

The current timestamp (milliseconds since 1970)

Non-empty strings with a length between 2 and 255 characters

Non-empty arrays of strings with a length between 2 and 255 characters

Each of these data types is stored in its own cplection in MongoDB. For example, a timestamp is stored in one cplection called ts , while the fields in an event such as “pageview” are stored in another cplection called events . The query below can be used to find all the events that have more than one pageview property:

{ $and . [ { "eventName" . "$pageview" }, { $gt . 1 } ] }

Another powerful feature of MongoDB integration with Mixpanel is the ability to query Mixpanel API data from MongoDB directly. This means that you can use standard MongoDB language to find specific events that happened within a specific time range, or even pull up data from other sources such as Google Analytics or Facebook. To do this, you can use a query like the fplowing:

{ $query . { from . new Date ( "2015-07-20T10:00:00Z" ), to . new Date ( "2015-07-20T10:30:00Z" ), limit . 10 , sort . [ { $orderBy . { _id . - 1 } } ] }, $unwind . "$event" }

This query would return the ten most recent events that were cplected between 10am and 10:30am on July 20th 2015. You can use this documentation to learn more about querying the Mixpanel API.[3] If you want to perform your own queries on top of the existing Mixpanel queries, you can access them through the _mixpanelData array found in every session object returned by the API. Here are some examples of what you can do with these event fields:

// Sort by number of pageviews first $sort = [ { $orderBy . { _id . - 1 }, query . { $sort . [ { $meta . { pageviews . 1 } } ] } } ]; // Get the top five pages by number of pageviews var topPages = $sort . top ( 5 ); // Get the number of pageviews for each page var stats = topPages . map ( function ( page . { return page . meta . pageviews ; }); // Find out which pages had the most unique pageviews var topUniquePages = stats . groupBy ( 'page' . . reduce ( function ( agg , val . { agg [ val . _id ] = agg . filter ( function ( v . { return v . _id != val . _id ; }. . length ; agg ; }, {}. . sort ([ '_id' , 'unique_pageviews' ]. . value (); // Find out if any pages had 0 pageviews var emptyPages = stats . filter ( function ( p . { return p . unique_pageviews == 0 ; }); // Find out what percent of users viewed each page var percentPageviews = emptyPages . map ( function ( p . { return p . unique_pageviews / 100 * 100 ; }. . sort (. . value (); // Count how many entries in stats exist var countStats = stats . size (); // Determine what percentage of people viewed more than 2 pages var percentageMoreThan2Pages = countStats >= 2 ? countStats / countStats * 100 . 0 ; // Determine what percentage of people viewed only 1 page var percentageOnly1Page = countStats == 1 ? 100 * countStats / countStats * 100 . 0 ; // Determine what percentage of people viewed more than 2 pages and spent more than 5 minutes on site var percentageMoreThan2PagesAnd5MinutesOnSite = countStats >= 2 && countStats > 5 ? countStats / countStats * 100 . 0 ; // Determine what percentage of people viewed only 1 page and spent more than 5 minutes on site var percentageOnly1PageAnd5MinutesOnSite = countStats == 1 && countStats > 5 ? 100 * countStats / countStats * 100 . 0 ; // Find out how many page views occurred during events var totalEvents = stats . map ( function ( p . { return p . eventName ; }. . reduce ( function ( acc , v . { acc [ v ] = acc . filter ( function ( e . { return e == v ; }. . length ; return acc ; }, {}. . sort ([ '_id' , 'pageviews' ]. . value (); // Find out how many users viewed each page during events var totalUsers = totalEvents . map ( function ( e . { return e . userId ; }. . reduce ( function ( acc , v . { acc [ v ] = acc . filter ( function ( u . { return u == v ; }. . length ; return acc ; }, {}. . sort ([ '_id' , 'userId' ]. . value (); // Find out how many unique users viewed each page during events var totalUniqueUsers = totalUsers . map ( function ( u . { return u ; }. . reduce ( function ( acc , v . { acc [ v ] = acc . filter ( function ( u . { return u != v ; }. . length ; return acc ; }, {}. . sort ([ '_id' , 'unique_userId' ]. . value (); // Find out how many times each page was viewed during events var countsPerPage = totalEvents . groupBy ( 'page' . reduce ( function ( agg , val . { agg [ val ] = agg . filter ( function ( e . { return e == val || e == null ; })[ 0 ]. eventName ; agg ; }, {}. . sort ([ '_id' , 'count' ]. . value ();

There are many other things you can do with Mixpanel data in MongoDB. For more information on this topic, see the fplowing resources:

The process to integrate MongoDB and Mixpanel 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.