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Data is witnessing a huge rise across the globe, so as the need for data management for enterprises. We can see increasing interest and evidently observable trend around the latest wave in non-relational DB, which is also called as “NoSQL” database management. Businesses are now seeking innovative methods to effectively manage the data flooding and also cost-effective mode of storage and processing data. This paved way to the introduction of many alternate DBMS tools, which are totally different from the relational traditional database management approaches. This is where MongoDB comes into the picture.
By definition, MongoDB is a new open-source solution for database administration, which uses an innovative document-centric database model. MongoDB is a non-structured query language, which is now considered to be the most powerful among the NoSQL databases there around nowadays. NoSQL means MongoDB doesn’t function in the manner of database tables with rows and columns, which we are used to. It is a different architecture which is built on documents and collections.
The basic unit in the NoSQL database is a unit of data which consists of a unique set of key-value pair. This allows the documents to contain different structures and fields. MongoDB uses a specific storage format known as BSON, a binary system of the JSON documents.
Data model followed by MongoDB is possessed more elasticity, which allows to combine various sets of data and store multivariate types without compromising on indexing options, validation rules, and data access. This means there will not be any downtime when you are trying to modify the data schemes.
MongoDB vs. RDBMS
|Non-relational DB||Relational DB|
|Key-value pair collection oriented||Table-oriented|
|Easy setup||Expert set up requirements|
|Unaffected by add-on SQL injection||Vulnerable to new SQL injection|
|Hierarchical storage structure||Non-hierarchical storage|
|Possesses dynamic schema||Possesses predefined schema|
Why we need MongoDB?
As suggested by RemoteDBA.com, MongoDB has already overcome many of the pitfalls in existing database systems, the major one among these being scalability. As every business system need to upgrade their database systems more frequently now, scalability is a necessity. MongoDB possess exceptional capacities in terms of scalability, which makes it easy for users to fetch data and facilitate automatic integration. Some other reasons why need MongoDB include:
Along with these, most of the businesses try out MongoDB identified that it is meeting almost all existing requirement when it comes to effective business database management of modern times.
Features of MongoDB
Unlike the SQL databases, MongoDB can store data in more flexible JSON-type documents, which will help to make the data more persistent and combining data much easier. The object in an application is mapped to the document model, with which it becomes much easier to work with data. The specific schema enables better governance of controls, complex aggregations, data access, and indexing functionality. Using MongoDB, one can modify the schema without any downtime. Enjoying this flexibility, developers need not to worry about the data manipulation.
Along with developers, operation teams may also perform their job in a better way on MongoDB with cloud service support. The cost of managing MongoDB is largely reduced on its commodity hardware. This enables more pay-as-you-go and on-demand pricing in a subscription model and round-the-clock support.
One may get a fair set of real-time applications and analytics tools for better management of data. This includes data visualization, geospatial search, text-based search, event-driven data streaming, in-memory performance graph processing, global replication, etc. to be done securely. In the case of conventional RDBMS, accomplishing these require a lot of complex administration along with on-going integration requirements.
While thinking of database migration; however, one needs to remember that MongoDB will not support the SQL language. The querying style of MongoDB is more dynamic based on documents, so it remains a document-based query language which. On the other hand, MongoDB is much easier to scale up, and there is also a need to convert applications objects to the database objects for proper mapping. It also deploys an internal memory to provide faster access to the data.