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What Is MongoDB? A Simple Guide for Web Developers

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Developers in 2023 should keep MongoDB at the top of their to-do list. If you haven’t heard of it already, MongoDB is a non-relational database—in fact, it’s the most popular NoSQL database among developers worldwide. Created in 2007 by the team behind the technology that turned Google into an advertising machine, Eliot Horowitz, Dwight Merriman, and Kevin Ryan developed custom data stores to overcome some limitations of databases of the time. In this article, you’ll learn everything you need to know about using MongoDB as a new developer in 2023. 1. What is MongoDB? MongoDB is a database management platform that provides a NoSQL alternative to traditional databases such as SQL. While SQL is excellent when used with structured data, non-relational databases are very useful for developers that work with unstructured, distributed data.  MongoDB is a helpful set of tools and capabilities that can manage text and documents, data storage, and fast transfer and retrieval. In fact, it was designed with accessibility in mind, even when you need to do complex querying.  MongoDB acts as a database server where organizations can maintain several databases. It’s very efficient for developers to fetch and work with data. The above reasons are why it’s so popular with some of the biggest names in every industry, including government, energy, and financial services. Large organizations use MongoDB for essential business information because it is super easy to scale large amounts of data and distribute it rationally, all while offering high availability.  What is a non-relational database? A non-relational database stores unstructured data without a schema across many nodes. Instead of relying on fixed tables like relational databases, non-relational databases are built to move data and scale efficiently.  Relational databases are great for advanced analytics and storing unchanging data, but not so great for speed and rich development. Non-relational databases like MongoDB work with unstructured JSON data for web development.   2. MongoDB advantages and disadvantages MongoDB was built to make web development easy. But just like any other developer platform, MongoDB comes with its own set of pros and cons to consider.  MongoDB advantages: MongoDB disadvantages: 3. Is MongoDB good for web development? Developers need tools that support large amounts of data to build modern web applications. MongoDB was created to address the need for software engineering and web development tools that meet the needs of today’s developers. But what is MongoDB doing that makes it so well-suited to meeting these needs? Firstly, it uses a simple document model, so developers can learn and use it with ease while still offering users the ability to meet complex requirements.  Each application that businesses work with has to be designed and built on a quality database that can maintain and support data transfer with other apps for a fast and secure user experience. Traditional (read: old-school) web applications depended on relational databases, but modern developers are leaning into alternative data stores like NoSQL with tools such as MongoDB.  In short, MongoDB is great for web development. These databases help organizations design and build data-driven applications that look great and integrate seamlessly with other systems. They are built for high throughput, so developer platforms like MongoDB are superfast and come with automatic features to help maintain your applications. When to use MongoDB Now that you’ve learned what is MongoDB exactly, it’s time to see when you should be thinking about deploying it. If you’re working with unstructured data like text and rich media, then this tool could be the solution for you. It’s also great for Big Data systems. Here are some common instances of when to use it:   When not to use MongoDB Non-relational databases are wonderful tools, but they aren’t a one-size-fits-all solution. Here’s when not to use MongoDB: 4. MongoDB FAQs Now that you’ve grasped what it is, how it works, and the pros and cons of using it, here are the answers to a few common questions about MongoDB: What is MongoDB Atlas? MongoDB Atlas is a cloud database service that enables users to deploy and scale MongoDB clusters in the cloud in only a few clicks. The DBaaS offers data distribution and mobility across AWS, Azure, and Google Cloud implementations. The platform also boasts built-in automation to optimize resources and workloads. Plus, since it is a managed service, users never have to worry about on-premise hardware, software updates, or configuring their setup.  Which companies use MongoDB? There are more than 35,000 companies that use MongoDB to build applications. Here are some names you may recognize: Is MongoDB worth learning? Yes! The aforementioned 2022 Stack Overflow survey across backend developers revealed that MongoDB is the most desirable database in the world. Why? It’s very fast, can handle unstructured data efficiently, and provides better indexing and search operations than similar platforms.  Another reason you should learn MongoDB is that it integrates very well with Node.js, the most widely used backend framework. It’s simple to learn, and it makes developing with Node.js a breeze.  Finally, MongoDB is worth learning because it’s a crucial component of the MERN and MEAN stacks (Hint: MongoDB is the “M”) that backend, frontend, and full stack developers use regularly.  5. Wrapping up So, now you’ve learned all about what is MongoDB! As you’ve seen, this tool is widely popular among developers in nearly every industry. For beginner web developers mapping out their learning pathways, it’s a key tool to add to your skillset. Leveraging MongoDB to build services and applications helps rising developers stand out from their peers on a resume and on the job. Besides that, it’s an excellent tool that allows developers to develop modern web-based applications that require a fast deployment system and scalability that meet the needs of evolving organizations. It’s no surprise then, that students of the CareerFoundry Full-Stack Web Development Program are taught MongoDB as part of their studies. Blog Source- https://careerfoundry.com/en/blog/web-development/what-is-mongodb/

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MongoDB Vs MySQL: Which Database Best Suits your Business?

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Choosing a DBMS (Database management system) may land you up in a dilemma, with too many options to select from. Relational DBMSs like MS SQL, PostgreSQL and MySQL have been dominant in recent years. Besides, you have non-relational DBMS like MongoDB, which are capable of dealing with massive volumes of data. You might have wondered which database is a better option between MongoDB and MySQL. Here is a comparison between these two database management systems, which will give you a better concept about their applications. What is MySQL? As an open source RDBMS, (relational database management system), MySQL has gained extensive popularity over the years. It was originally developed by MySQL AB and now owned by Oracle Corporation. Based on the requirements, the users can pre-define the database schema and establish rules, capable of governing the relationship between relevant fields in the tables. MySQL, like other relational DBMSs, uses SQL (structured query language) to get access to database and keeps the data stored in tables. For making any change in the schema, a migration procedure is necessary, that can reduce the performance of the application significantly. It can also take the database to the offline mode. What is MongoDB? MongoDB was developed by MongoDB, Inc and it is a popular non-relational database. Data is stored in this type of DBMS as documents in a form called BSON (a type of binary representation). For query access, the MongoDB query language is used to store the related data. The fields may be different for each document, and you need not declare the document structure to the systems. These documents are self-explanatory in nature. In case you need to add a new field to the document, you can create it, without making any change to the other documents present in the collection. The central system catalog does not require any update and you need not take the system to the offline mode. You can also use schema validation optionally to enforce the control of data over each of the collections. The document data model of MongoDB maps objects in the application mode naturally. As a result, developers find it simple to master and use. The users can also represent the hierarchical associations to the store arrays seamlessly, along with other complicated structures. MongoDB vs. MySQL: Pros and Cons Both MongoDB and MySQL have gained popularity as open-source database software. However, each of them is suitable for a particular situation. Have a look at the pros and cons of MongoDB and MySQL. Flexibility of the Schema MongoDB has a good advantage over MySQL, as the users face no constraints in terms of schema design. Some of the documents can be dropped by the developer within a collection. It is not necessary for the documents to have any relationship among each other. The supported data structures form the only drawback of this system. The schema needs to be optimized continually, based on how the data will be accessed by the application. This is because, transactions and joins are absent. Before a user can store data in MySQL, it is necessary to define every row, column and table. It is also necessary for all the rows in the table to have the same columns. This restricts the degree of flexibility, when it comes to storing data. In MongoDB, the documents are devoid any schema, that is capable of storing any data that the user desires. However, you may face issues with the consistency of data at times. MySQL is bound to make errors, as a strict schema-template is involved in the process. Query Language The query language in both MongoDB and MySQL is strong. An unstructured query language is used in MongoDB. A document specification with the respective properties is necessary, if you want to develop a query in JSON documents and match the results. During the execution of MongoDB, a set of operators is used, and these are related to JSON. MongoDB supports boolean OR queries, although the users need to use operator ($or) in the process. MySQL, on the other hand, operates on the structured SQL language, while interacting with the database. Although it is quite simple, the language is very powerful and consists of two parts: Data Manipulation Language (DML) Data Definition Language (DDL) Relationship The JOIN operation is not supported by MongoDB. Instead multi-dimensional types of data like arrays are supported by it. The term ‘embedding’ is used to define the position of one document inside another. The JOIN operation is one of the best aspects of MySQL. It executes the relational database and enables one to merge data from multiple tables using the SELECT command in a single query. Therefore, the users can seamlessly get the associated data using a single statement in various tables. Speed and Performance MongoDB can control large volumes of unrestricted data, as compared to MySQL. As it enables the users to query in a way sensitive to workload, it has a much faster speed. MySQL, when compared to MongoDB, is considerably slower, when you use large volumes of data. It cannot deal with unstructured data, when the volume is greater. However, you do not have any standard benchmark, which can help you choose the right database for your requirements. Only the data, infrastructure and your needs can evaluate what a user needs to know. Security Model MongoDB can establish its control over a variable set of privileges. In MongoDB, the key security features include authorization, auditing and authentication. You will also find it feasible to use Secure Sockets Layer (SSL) and Transport Layer Security (TLS) to encrypt the ends. This ensures that only the intended client can read the documents. A security model based on privilege is used in MySQL. This indicates that a user is authenticated by MySQL and can benefit on database like UPDATE, SELECT, INSERT and CREATE. When to Use MongoDB for Business Application? You should use MongoDB for business application when you: Use cloud-based services Want to cut down the cost

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