{"id":48522,"date":"2017-07-11T15:01:14","date_gmt":"2017-07-11T12:01:14","guid":{"rendered":"http:\/\/examples.javacodegeeks.com\/?p=48522"},"modified":"2017-07-11T15:01:14","modified_gmt":"2017-07-11T12:01:14","slug":"use-not-use-mongodb","status":"publish","type":"post","link":"https:\/\/examples.javacodegeeks.com\/software-development\/mongodb\/use-not-use-mongodb\/","title":{"rendered":"When to Use or Not to Use MongoDB"},"content":{"rendered":"

Hello, in this tutorial we will see the pros and cons of using the MongoDB.<\/p>\n

1. Introduction<\/h2>\n

MongoDB<\/a> is a popular open-source document-oriented database developed by 10gen, later called the MongoDB Inc. In this case, documents are created and stored in BSON files, Binary JSON (JavaScript Object Notation) format, so all JS types of data are supported. That being the case, MongoDB is often applied to Node.js projects. Besides of that, JSON enables transferring data between servers and web apps within a human-readable format. It is also a better option, when it comes to storage capacity and speed, as it offers greater efficiency and reliability.<\/p>\n

One of the top benefits offered by MongoDB is the use of dynamic schemas that eliminates the need to pre-define the structure, like fields or value types. Such model allows hierarchical relationships representation, array storage, and ability to change the records structure by simply adding or deleting fields.<\/p>\n

This NoSQL solution comes with embedding, auto-sharding, and on-board replication for better scalability and high availability. General distributions for MongoDB support Windows, Linux, Mac OS X, and Solaris.<\/p>\n

1.1 Terminology and Concepts<\/h3>\n

If you’re not familiar with MongoDB, here’s a quick translation cheat sheet to get you familiar with the terminology:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n
RDBMS<\/td>\nMongoDB<\/td>\n<\/tr>\n
Database<\/td>\nDatabase<\/td>\n<\/tr>\n
Table<\/td>\nCollection<\/td>\n<\/tr>\n
Index<\/td>\nIndex<\/td>\n<\/tr>\n
Row<\/td>\nDocument<\/td>\n<\/tr>\n
Column<\/td>\nField<\/td>\n<\/tr>\n
Joining<\/td>\nLinking & Embedding<\/td>\n<\/tr>\n
Partition<\/td>\nSharding (Range Partition)<\/td>\n<\/tr>\n
Replication<\/td>\nReplSet<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

1.2 Making the Choice<\/h3>\n

Of course, developer\u2019s choice of database is always a decision based on pros and cons,

<\/div> <\/div><\/p>\n

Pros<\/strong><\/p>\n

    \n
  • Document oriented<\/li>\n
  • High performance<\/li>\n
  • High availability \u2014 Replication<\/li>\n
  • High scalability \u2013 Sharding<\/li>\n
  • Dynamic \u2014 No rigid schema<\/li>\n
  • Schema-Less<\/li>\n
  • Flexible \u2013 field addition\/deletion have less or no impact on the application<\/li>\n
  • Heterogeneous Data<\/li>\n
  • No Joins<\/li>\n
  • Distributed<\/li>\n
  • Data Representation in JSON or BSON<\/li>\n
  • Geospatial support<\/li>\n
  • Easy Integration with BigData Hadoop<\/li>\n
  • Document-based query language that\u2019s nearly as powerful as SQL<\/li>\n
  • Cloud distributions such as AWS, Microsoft, RedHat, dotCloud and SoftLayer etc. In fact, MongoDB is built for the cloud. Its native scale-out architecture, enabled by \u2018sharding,\u2019 aligns well with the horizontal scaling and agility afforded by cloud computing<\/li>\n<\/ul>\n

    Cons<\/strong><\/p>\n

      \n
    • A downside of NoSQL is that most solutions are not as strongly ACID-compliant (Atomic, Consistency, Isolation, Durability) as the more well-established RDBMS systems<\/li>\n
    • Complex transaction<\/li>\n
    • No function or stored procedure exists where you can bind the logic<\/li>\n<\/ul>\n
      Tip<\/strong>
      \nPeople often ask why MongoDB is so wildly popular. I tell them it’s a data structure<\/strong> thing.<\/div>\n

      1.3 Implementation<\/h3>\n

      Good For<\/strong><\/p>\n

        \n
      • E-commerce product catalog<\/li>\n
      • Blogs and content management<\/li>\n
      • Real-time analytics and high-speed logging, caching, and high scalability<\/li>\n
      • Configuration management<\/li>\n
      • Maintaining location-based data \u2014 Geospatial data<\/li>\n
      • Mobile and social networking sites<\/li>\n
      • Evolving data requirements<\/li>\n
      • Loosely coupled objectives \u2014 the design may change by over time<\/li>\n<\/ul>\n

        Not so Good For<\/strong><\/p>\n

          \n
        • Highly transactional systems or where the data model is designed up front<\/li>\n
        • Tightly coupled systems<\/li>\n<\/ul>\n

          1.4 When would MySQL be a better fit?<\/h3>\n

          While most modern applications require a flexible, scalable system like MongoDB, there are use cases for which a relational database like MySQL would be better suited. Applications that require complex, multi-row transactions (E.g., a double-entry bookkeeping system) would be good examples. MongoDB<\/em> is not a drop-in replacement for legacy applications built around the relational data model and SQL.<\/p>\n

          A concrete example would be the booking engine behind a travel reservation system, which also typically involves complex transactions. While the core booking engine might run on MySQL, those parts of the app that engage with users \u2013 serving up content, integrating with social networks, managing sessions \u2013 would be better placed in MongoDB.<\/p>\n

          1.5 Which database to use?<\/h3>\n

          Comparing MongoDB speed vs. MySQL, developers note that the latter one lacks speed and experience difficulties with large data volumes, so it\u2019ll be a better choice for companies with smaller databases and looking for a more general solution. While this is one of the advantages of MongoDB over MySQL, the ability to cope with large and unstructured amounts of data.<\/p>\n

          To answer the main question: when to use MongoDB instead of MySQL?<\/strong>\u00a0MySQL<\/em> is well-recognized for its high performance, flexibility, reliable data protection, high availability, and management ease. Proper data indexing can solve the issue with performance, facilitate interaction and ensure robustness. But if application\u2019s data is unstructured and complex, or if developers can\u2019t pre-define the application schema, developers would better opt for MongoDB<\/em>.<\/p>\n

          Hope this helped!<\/p>\n

          2. Conclusion<\/h2>\n

          And, there you have it! Now, you’ve got a quick and easy overview of how MongoDB works, some use cases where it can shine, and how it relates to SQL technology.<\/p>\n","protected":false},"excerpt":{"rendered":"

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