Alternatives to MongoDB Cloud Manager logo

Alternatives to MongoDB Cloud Manager

Atlas, MongoDB Atlas, Slick, Spring Data, and Microsoft SQL Server Management Studio are the most popular alternatives and competitors to MongoDB Cloud Manager.
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What is MongoDB Cloud Manager and what are its top alternatives?

It is a hosted platform for managing MongoDB on the infrastructure of your choice. It saves you time, money, and helps you protect your customer experience by eliminating the guesswork from running MongoDB.
MongoDB Cloud Manager is a tool in the Cloud Management category of a tech stack.

Top Alternatives to MongoDB Cloud Manager

  • Atlas

    Atlas

    Atlas is one foundation to manage and provide visibility to your servers, containers, VMs, configuration management, service discovery, and additional operations services. ...

  • MongoDB Atlas

    MongoDB Atlas

    MongoDB Atlas is a global cloud database service built and run by the team behind MongoDB. Enjoy the flexibility and scalability of a document database, with the ease and automation of a fully managed service on your preferred cloud. ...

  • Slick

    Slick

    It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred. ...

  • Spring Data

    Spring Data

    It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database. ...

  • Microsoft SQL Server Management Studio

    Microsoft SQL Server Management Studio

    It is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. It provides tools to configure, monitor, and administer instances of SQL Server and databases. Use it to deploy, monitor, and upgrade the data-tier components used by your applications, as well as build queries and scripts. ...

  • Sequel Pro

    Sequel Pro

    Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases. ...

  • PostGIS

    PostGIS

    PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL. ...

  • DataGrip

    DataGrip

    A cross-platform IDE that is aimed at DBAs and developers working with SQL databases. ...

MongoDB Cloud Manager alternatives & related posts

Atlas logo

Atlas

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Develop, deploy, and maintain your application anywhere. Use one console and one workflow from development to production
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PROS OF ATLAS
    No pros available
    CONS OF ATLAS
      No cons available

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      MongoDB Atlas logo

      MongoDB Atlas

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      Deploy and scale a MongoDB cluster in the cloud with just a few clicks
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      Repost

      Overview: To put it simply, we plan to use the MERN stack to build our web application. MongoDB will be used as our primary database. We will use ExpressJS alongside Node.js to set up our API endpoints. Additionally, we plan to use React to build our SPA on the client side and use Redis on the server side as our primary caching solution. Initially, while working on the project, we plan to deploy our server and client both on Heroku . However, Heroku is very limited and we will need the benefits of an Infrastructure as a Service so we will use Amazon EC2 to later deploy our final version of the application.

      Serverside: nodemon will allow us to automatically restart a running instance of our node app when files changes take place. We decided to use MongoDB because it is a non relational database which uses the Document Object Model. This allows a lot of flexibility as compared to a RDMS like SQL which requires a very structural model of data that does not change too much. Another strength of MongoDB is its ease in scalability. We will use Mongoose along side MongoDB to model our application data. Additionally, we will host our MongoDB cluster remotely on MongoDB Atlas. Bcrypt will be used to encrypt user passwords that will be stored in the DB. This is to avoid the risks of storing plain text passwords. Moreover, we will use Cloudinary to store images uploaded by the user. We will also use the Twilio SendGrid API to enable automated emails sent by our application. To protect private API endpoints, we will use JSON Web Token and Passport. Also, PayPal will be used as a payment gateway to accept payments from users.

      Client Side: As mentioned earlier, we will use React to build our SPA. React uses a virtual DOM which is very efficient in rendering a page. Also React will allow us to reuse components. Furthermore, it is very popular and there is a large community that uses React so it can be helpful if we run into issues. We also plan to make a cross platform mobile application later and using React will allow us to reuse a lot of our code with React Native. Redux will be used to manage state. Redux works great with React and will help us manage a global state in the app and avoid the complications of each component having its own state. Additionally, we will use Bootstrap components and custom CSS to style our app.

      Other: Git will be used for version control. During the later stages of our project, we will use Google Analytics to collect useful data regarding user interactions. Moreover, Slack will be our primary communication tool. Also, we will use Visual Studio Code as our primary code editor because it is very light weight and has a wide variety of extensions that will boost productivity. Postman will be used to interact with and debug our API endpoints.

      See more
      Gregory Koberger

      We went with MongoDB , almost by mistake. I had never used it before, but I knew I wanted the *EAN part of the MEAN stack, so why not go all in. I come from a background of SQL (first MySQL , then PostgreSQL ), so I definitely abused Mongo at first... by trying to turn it into something more relational than it should be. But hey, data is supposed to be relational, so there wasn't really any way to get around that.

      There's a lot I love about MongoDB, and a lot I hate. I still don't know if we made the right decision. We've been able to build much quicker, but we also have had some growing pains. We host our databases on MongoDB Atlas , and I can't say enough good things about it. We had tried MongoLab and Compose before it, and with MongoDB Atlas I finally feel like things are in a good place. I don't know if I'd use it for a one-off small project, but for a large product Atlas has given us a ton more control, stability and trust.

      See more
      Slick logo

      Slick

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      Database query and access library for Scala
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      PROS OF SLICK
        No pros available
        CONS OF SLICK
          No cons available

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          Spring Data logo

          Spring Data

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          Provides a consistent approach to data access – relational, non-relational, map-reduce, and beyond
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          PROS OF SPRING DATA
            No pros available
            CONS OF SPRING DATA
              No cons available

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              Остап Комплікевич

              I need some advice to choose an engine for generation web pages from the Spring Boot app. Which technology is the best solution today? 1) JSP + JSTL 2) Apache FreeMarker 3) Thymeleaf Or you can suggest even other perspective tools. I am using Spring Boot, Spring Web, Spring Data, Spring Security, PostgreSQL, Apache Tomcat in my project. I have already tried to generate pages using jsp, jstl, and it went well. However, I had huge problems via carrying already created static pages, to jsp format, because of syntax. Thanks.

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              Microsoft SQL Server Management Studio logo

              Microsoft SQL Server Management Studio

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              An integrated environment for managing any SQL infrastructure
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              PROS OF MICROSOFT SQL SERVER MANAGEMENT STUDIO
                No pros available
                CONS OF MICROSOFT SQL SERVER MANAGEMENT STUDIO
                  No cons available

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                  Sequel Pro logo

                  Sequel Pro

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                  MySQL database management for Mac OS X
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                  PROS OF SEQUEL PRO
                  CONS OF SEQUEL PRO
                    No cons available

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                    PostGIS logo

                    PostGIS

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                    Open source spatial database
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                    CONS OF POSTGIS
                      No cons available

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