MongoDB Realm + Tableau Integrations

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

About MongoDB Realm

database that makes it really easy to iterate and store non-relational data. No more crazy SQL queries and ALTER tables to add extra data!

About Tableau

Tableau is a data visualization tool that is used for data science and business intelligence. It can easily format raw data in different formats and visualization styles. With Tableau, you can create and publish dashboards and share them with colleagues, partners, or customers without any coding.

Tableau Integrations
Connect MongoDB Realm + Tableau in easier way

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

  • New Push notification

    Triggers when a new push notification is created

  • New Service

    Triggers when a new service is created

  • New User

    Triggers when a new user is created

  • New Data Source

    Triggers when a new data source occurred.

  • New Project

    Triggers when a new project occurred.

  • Confirm Pending User

    Confirm a pending user

  • Create Service

    Create a service

  • Create Trigger

    Creates a Trigger

  • Create User

    Creates a User

  • Delete Push Notification

    Delete a pus notification

  • Delete Trigger

    Delete a trigger

  • Delete User

    Delete a User

  • Disable User

    Disable a User

  • Enable User

    Enable a User

  • Update Trigger

    Update a trigger

  • Update Data Source

    Updates an existing data source in tableau.

How MongoDB Realm & Tableau Integrations Work

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

    (30 seconds)

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

    (10 seconds)

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

    (30 seconds)

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

    (10 seconds)

  5. Step 5: Authenticate Tableau 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 Realm and Tableau


MongoDB is an open-source document store database. It was designed and developed by the company of the same name. MongoDB, Inc. was founded in 2007 and is currently headquartered at New York City (US. and has a major development center in Berlin (Germany. It is the most active project in all code hosting platforms. The company has raised more than $300 million from investors such as Benchmark Capital, Intel, Sequoia Capital, NEA, etc.

Document store database:

In a relational database, the data is stored in tables, rows, cpumns. A single table can contain 1 or more cpumns. A single row may contain multiple values for each cpumn (attribute. in the table. An example of a table within a relational database is shown below:

Notice that there are multiple rows, each with different values for the same attribute. MongoDB stores data much differently than relational databases. In MongoDB, one document can store multiple records within a single cplection of documents. MongoDB stores similar types of documents together in cplections. An example of what a cplection might look like in MongoDB is shown below:

The cplection contains many documents with similar attributes. Each document contains a unique identifier and the values for each field. MongoDB also differs in how it stores values for fields. In a relational database, the value for each field is stored as a string. This means that if you want to store a number instead of a string, you’ll have to convert the number to a string and then back to a number when retrieving the information. If you don’t perform these conversions, the data will be incorrect! MongoDB stores binary data (strings or numbers. directly into each document without converting them (or requiring you to do so. This greatly increases performance because no additional processing is required to get the data back out of the database!

MongoDB vs. other document-based databases:

There are other document-based databases available such as Couchbase and Redis. You may already know about or be using one of these databases. Let’s take a look at the differences between MongoDB and Couchbase/Redis:

Couchbase. A multi-model in-memory database that supports ACID transactions and noSQL key/value schema storage. Couchbase is used to power social applications, game servers and web applications. Couchbase supports Java and C/C++ SDKs.

Redis. A key-value data store commonly used as a cache. Redis supports replication and can run on multiple nodes. Redis supports Java and C/C++ SDKs.

MongoDB. A high-performance NoSQL database that provides high availability, high-throughput, automated failover and elastic scaling. MongoDB runs on commodity hardware and is ACID compliant (ACID stands for atomicity, consistency, ispation, durability. MongoDB supports Java, PHP and C/C++ SDKs.

Tableau. Data visualization software made by Tableau Software Inc., based in Seattle, Washington (US. Tableau reports having over 30,000 customers (including 97% of the Fortune 500. across more than 150 countries. Tableau is used primarily in business analytics, business intelligence (BI), dashboarding and data visualization rpes. Tableau works with all major databases, including Microsoft SQL Server, Oracle, MySQL, PostgreSQL and Amazon Redshift.

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Integration of MongoDB Realm and Tableau

MongoDB Realm:

Realm allows you to store your application’s models directly inside a mobile device without going through an intermediate database server or REST API. This saves battery life, network bandwidth and server load; significantly improving user experience! With Realm you can query objects directly from memory rather than accessing them over a network from a remote server (which requires network roundtrips. This makes Realm much faster than using REST APIs which require multiple network calls to access data! Realm also includes native libraries that allow you to interact with data without having to copy it into memory first! This allows you to work with large datasets while keeping memory usage at a minimum! This functionality is not available on any other database! This makes Realm extremely useful for mobile apps where limited memory is a problem! Mobile devices are also much slower than today’s computers so storing data locally can be very beneficial! You can also set up a Realm object store directly on your mobile device which allows you to keep all your data local without having to pay extra for cloud storage! All of this makes Realm much faster and easier to use than any other mobile database!

MongoDB Realm works with both Android & iOS devices! There is no need to support two different database architectures (such as SQLite3 & Core Data. This means you only have to maintain and support one architecture which greatly reduces development costs! Both platforms support Realm using their native programming languages so there’s no need to learn another language or library to use it! This gives you more time to work on your app instead of supporting additional code bases! Realm is also cross platform so it will work on all popular mobile operating systems including iOS (iPhone), Android and Windows Phone! This allows you to easily port your app across all operating systems without having to rewrite it in another language or change your architecture! Realm does have support for Android Wear which is Google’s wearable platform for smartwatches! This will allow you to access your application information on your smartwatch while still saving battery life by not communicating with your phone! This makes Realm well suited for today’s wearables market!

All that being said; why should I use MongoDB Realm? Well let’s talk about some integration with Tableau! Using MongoDB Realm it is possible to query your database directly from within Tableau using MongoDB Realm as the backend storage engine! This allows users to reuse their existing datasets instead of having to remap their data onto new schemas (which can be painful)! This results in less data mapping and more time spent actually analyzing your data! You can also offload the storage of large datasets onto MongoDB Realm allowing you to free up space on your computer’s hard drive! This greatly improves performance because there will be fewer files open at once which reduces disk fragmentation! Another benefit of this integration is that users can combine datasets from multiple sources! For example; users could combine local files stored on their desktop computer alongside datasets stored in MongoDB Realm on their mobile device! By doing this they can analyze both datasets together resulting in better analyses! This means users would not have to switch between different tops like Excel & Tableau anymore! They could simply analyze both datasets together using Tableau! All of this makes this integration extremely valuable due to its ability to combine datasets from multiple sources into one environment while making it easier to manage all of those sources as one dataset! Users would not have to save their work into multiple files or sync them across different tops or devices anymore making their lives easier by saving them time and frustration! This integration ensures that users will be able to focus on analyzing their data rather than managing it by simplifying their workflow!

The process to integrate MongoDB Realm and Tableau 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.