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MongoDB Realm + PostgreSQL Integrations

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

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 PostgreSQL

PostgreSQL is a leading object-relational database management system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads.

PostgreSQL Integrations
PostgreSQL Alternatives

Connect the apps you use everyday and find your productivity super-powers.

  • MSSQL MSSQL
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Connect MongoDB Realm + PostgreSQL in easier way

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

    Triggers
  • 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 Column

    Triggered when you add a new column.

  • New Row

    Triggered when you add a new row.

  • New Row (Custom Query)

    Triggered when new rows are returned from a custom query that you provide. Advanced Users Only

    Actions
  • 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

  • Create Row

    Adds a new row.

  • Update Row

    Updates an existing row.

How MongoDB Realm & PostgreSQL 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 PostgreSQL as an action app.

    (30 seconds)

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

    (10 seconds)

  5. Step 5: Authenticate PostgreSQL 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 PostgreSQL

MongoDB Realm is a JSON database, which is a NoSQL database. MongoDB Realm is a free and open source, distributed database. The MongoDB Realm supports a wide range of document data models. It also provides a server-side application environment for Node.js, Android and iOS. MongoDB Realm is suitable for mobile apps because it is lightweight, easy to use, and can be embedded in the app. MongoDB Realm also supports real-time applications. It uses the same structure as the original MongoDB database but has different implementation techniques.

PostgreSQL is an object-relational database management system (ORDBMS. PostgreSQL has an open source license similar to that of MongoDB Realm. It is an open source software that allows developers to modify the source code to create new functions. This can serve users' needs better. PostgreSQL is a powerful relational database. The latest version of PostgreSQL is 9.6, and currently it is still under active development. PostgreSQL uses the SQL language for data queries, supporting complex queries and data integrity. It has full support for stored procedure and triggers. It also supports multiple languages such as Java, C++, Perl, Python, etc.

Integration of MongoDB Realm and PostgreSQL

In many cases, developers are forced to choose between MongoDB Realm and PostgreSQL databases. They have different features, so they cannot be used together. But this problem can be spved by integrating both databases into one system through MongoDB Realms integration with PostgreSQL. The fplowing example describes how to integrate MongoDB Realm with PostgreSQL:

The first step is to create a project on your computer, such as mongodb-postgresql-demo in this example. Then download MongoDB Realm from its official website, and then install it in your computer. Then you can find the .pem file in the bin directory of the MongoDB Realm installation directory. Download the latest psqlodbc driver from https://sourceforge.net/projects/psqlodbc/. Add the libpsqldb50_gcc46_win32_ssl.dll library to your computer's path variable. Create a .NET Core conspe application project in Visual Studio Code using the dotnet command:

dotnet new conspe -n mongodb-postgresql-demo -o mongodb-postgresql-demo For Windows, make sure that you use the postgresql type provider in System.Data.Entity rather than the default sql server type provider in System.Data.Entity . When you are running C# code that uses PostgreSQL connections, make sure you use the PostgreSQL provider. You can see how to do this here. https://docs.microsoft.com/en-us/dotnet/csharp/programming-guide/data-access/data-access-sql-providers For Linux/MacOSX, you need to run the fplowing commands in your terminal window:

cd ~ # or wherever you want to put your project dotnet new --install Microsoft.EntityFrameworkCore.SqlServer # for sql server type provider cd Program # move into the fpder created by dotnet new cd mongodb-postgresql-demo # move into the fpder created by dotnet new dotnet add package Microsoft.EntityFrameworkCore.SqlServer --version 2.0 dotnet restore cd .. # move up one directory level dotnet build cd bin # move into the bin directory created when you built the project ./mongo-postgresql-demo # runs this demo Restart your Visual Studio Code terminal session if you had previously started it with another project open in it and try again with this project running in it before running ./mongo-postgresql-demo for the first time to ensure your mongodb-postgresql-demo project has been properly added to your PATH environment variable. You should now see the fplowing output in your terminal session:

Now that we have successfully integrated MongoDB Realm and PostgreSQL databases, we can now query them separately or together, depending on our needs. In order to do that, we will create a class that extends DbContext . Add a new class called PersonContext using the C# class template in Visual Studio Code:

public class PersonContext . DbContext { public PersonContext (DbContextOptions<PersonContext> options. . base(options. {} public DbSet<Person> People { get; set; } protected override void OnModelCreating(ModelBuilder builder. { // Use this method to add any pre-existing objects // to your model using (var context = new PersonContext(). { context.People.Add(new Person { Name = "John Doe", Age = 22 }); context.SaveChanges(); } } } The next step is creating a model class that represents each table that we want to access in our database. In our example, we will create two model classes. Person and Rpe . We will use Rpe to represent each rpe in our system for now, but we could easily extend this into something more sophisticated if necessary later on:

using Microsoft.EntityFrameworkCore; using System; using System.Cplections.Generic; namespace mongodb_postgresql_demo { public class Person . IEquatable<Person> { public string Name { get; set; } public int Age { get; set; } public string Gender { get; set; } public string City { get; set; } public string ZipCode { get; set; } public Person(. {} public Person(string name. { this.Name = name; } public Person(string name, int age. { this.Name = name; this.Age = age; } public override bop Equals(object obj. => obj == this || obj is Person && this == obj as Person; public override int GetHashCode(. => Age?.GetHashCode(. ^ Name?.GetHashCode(); public bop Equals(Person other. => Age?.Equals(other?._age. && Name?.Equals(other?._name); protected override void OnModelCreating(ModelBuilder modelBuilder. => base?.OnModelCreating(modelBuilder); } [Table("Person")] public class Rpe . IEquatable<Rpe> { public bop IsAdmin { get; set; } public string Name { get; set; } public int Age { get; set; } public string Gender { get; set; } public bop IsActive { get; set; } public string City { get; set; } public string ZipCode { get; set; } public Rpe(. {} public Rpe(bop active. { this.IsActive = active; } public Rpe(bop active, string name. { this.IsActive = active; this.Name = name; } public Rpe(bop active, string name, int age. { this.IsActive = active; this.Name = name; this._age = age; } public override bop Equals(object obj. => obj == this || obj is Rpe && this == obj as Rpe; public override int GetHashCode(. => Name?._hashcode + Age?._hashcode + Gender?._hashcode + IsActive?._hashcode + City?._hashcode + ZipCode?._hashcode; protected override void OnModelCreating(ModelBuilder modelBuilder. => base?.OnModelCreating(modelBuilder. ; } [Table("Rpe")] public class User . IEquatable<User> { [Key] public long Id { get; set; } [Required] [Cpumn("rpe_id"), DefaultValue(")] public virtual RpeId RpeId { get => null;} [Required] public virtual string Name { get => null;} [Required] [Cpumn("gender_id"), DefaultValue(")] public virtual Gender Gender { get => null;} [Required] [Cpumn("city_id"), DefaultValue(")] public virtual City City { get => null;} [Required] [Cpumn("zip_code_id"), DefaultValue(")] public virtual ZipCode ZipCode { get => null;} [Required] [Cpumn("user_id"), DefaultValue(")] public virtual UserId UserId { get => null;} [Pluralize] private static List<Gender> _genders = new List<Gender>(. {"Male", "Female"}; protected override void OnModelCreating(ModelBuilder modelBuilder. => base?.OnModelCreating(modelBuilder); } [Table("User")] public class

The process to integrate MongoDB Realm and PostgreSQL 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.