MongoDB Realm + Amazon S3 Integrations

MongoDB Realm?

MongoDB is a document-oriented database that is used to create apps for mobile, web, and IoT. This database stores data in the form of documents. It can store both structured and unstructured data. MongoDB has the capability to scale horizontally on multiple servers. This helps to run thousands of applications on a single MongoDB server. MongoDB supports NoSQL and provides high security through its authentication mechanisms.

MongoDB Realm is a software that is used to connect with an existing database and use the data. A Realm can be created using a Realm Object Server. The Realm can support up to 10 million objects. Information like schema, indexes, relationships, and versioning are maintained by Realm. The developer needs to maintain only the data. Also, Sync Gateway can be used to manage the information between the Realm Object Server and the application server. It also allows the developer to implement a live synchronization between the Realm Object Server and the application server.

Amazon S3?

Amazon S3 (Simple Storage Service. is an online storage service that is offered by Amazon Web Services. It stores any type of data like media files, images, videos, and documents etc. For storing larger amounts of data it uses block level storage and when it comes to storing smaller amounts of data, it uses file level storage. AWS provides a simple web service interface for uploading, downloading, and managing data. It is highly scalable and available 24/7/365, and it has 99.999999999% uptime guarantee. Users can store as large amounts of data as they want and they only pay for what they use.

Integration of MongoDB Realm and Amazon S3

Integration of MongoDB Realm with Amazon S3 can be done using the fplowing steps:

Creating a Realm Object Server from AWS Marketplace Downloading the MongoDB Driver for your chosen language (Java / Objective C / .NET. Creating a project in Android Studio or Visual Studio Creating an “AndroidManifest.xml” file Creating an “app/src/main/java/[YourAppName]/MainActivity” file Creating an “app/src/main/java/[YourAppName]/RealmObjectServerService” file Creating an “app/src/main/java/[YourAppName]/RealmObjectServerServiceImpl” file Creating an “app/src/main/java/[YourAppName]/RealmObjectServerConnection” file Creating an “app/src/main/java/[YourAppName]/RealmObjectServerConnectionImpl” file Creating an “app/src/main/res/values/strings.xml” file Adding a “build.gradle” file in your app fpder Adding dependencies in your build.gradle file Adding a “Application.java” file in your app fpder adding dependencies in your Application class file Creating an “AndroidManifest.xml” file Adding permissions in your manifest Adding an intent filter for your App Creating a new project in Visual Studio Creating a new project in Android Studio or Microsoft Visual Studio Building the project After building the project, creating an “AndroidManifest.xml” file Adding permissions in your AndroidManifest.xml Adding an intent filter for your App Creating a new project in Visual Studio Creating a new project in Microsoft Visual Studio Building the project After building the project, creating an “AndroidManifest.xml” file Adding permissions in your AndroidManifest.xml Adding an intent filter for your App

After integrating MongoDB Realm with Amazon S3, you will get a scalable system that can help to handle millions of requests per second. You can host as many applications on one server as you want.

Benefits of Integration of MongoDB Realm and Amazon S3

MongoDB Realm offers some benefits that are given below:

High Performance. As MongoDB can scale horizontally on multiple servers, it provides high performance through sharding and replication mechanism even if it handles large amounts of data. Also, MongoDB has powerful indexes like range index, keyword index, geospatial index, regular expression index and full text index that help to reduce the computation time of queries which results in faster query processing times.

As MongoDB can scale horizontally on multiple servers, it provides high performance through sharding and replication mechanism even if it handles large amounts of data. Also, MongoDB has powerful indexes like range index, keyword index, geospatial index, regular expression index and full text index that help to reduce the computation time of queries which results in faster query processing times. Easy Updates. With MongoDB , we have to take care of updating each individual record whenever we make changes to our system or add new records but with MongoDB we can update all the records at once because it has built-in atomic operations that execute all operations at once instead of updating them individually which saves time for developers.

With MongoDB we have to take care of updating each individual record whenever we make changes to our system or add new records but with MongoDB we can update all the records at once because it has built-in atomic operations that execute all operations at once instead of updating them individually which saves time for developers. Simple API. The MongoDB API is very simple and easy to use which makes it easy for developers to understand how various commands work,. Also it uses JSON format which is more human readable than other formats like XML and YAML which makes it easier for developers to read and write code without spending too much time in reading documentation documents. Also, developers can update their code while they are offline as MongoDB stores all data on disk rather than in memory which makes it easy for developers to make changes even without internet connection available on their devices.

The MongoDB API is very simple and easy to use which makes it easy for developers to understand how various commands work,. Also it uses JSON format which is more human readable than other formats like XML and YAML which makes it easier for developers to read and write code without spending too much time in reading documentation documents. Also, developers can update their code while they are offline as MongoDB stores all data on disk rather than in memory which makes it easy for developers to make changes even without internet connection available on their devices. Scalable Database. We know that there are various types of databases available like relational databases, object-oriented databases, graph databases etc but none of these databases provide a spution to spve scalability issues which means that none of these databases can handle large amounts of data that are available on the internet today . However, as we mentioned earlier that MongoDB is a document-oriented database that has the capability to scale horizontally on multiple servers so it can handle large amounts of data easily without facing any problem related to scalability issues .

Integration of MongoDB Realm with Amazon S3 can be done by fplowing the steps mentioned above. This integration will result in efficient utilization of resources which will help to scale better with increased traffic as you will be able to add more servers if necessary without facing any problem related to scalability issues with your system or application.

The process to integrate MongoDB Realm and Amazon S3 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.