This introduction to MongoDB is to help get a better idea about this database. It's a flexible and powerful solution to handle all modern data needs. This leading NoSQL database presents a dynamic schema design. This enables developers in storing and managing data seamlessly with contemporary app requirements. Let's understand what is MongoDB in this article.
So, what is MongoDB? It's an open-source and document-oriented DB. It is designed for storing huge quantities of data and efficiently working with it too. It's categorized under NoSQL databases. This is because neither storage nor retrieval of data is in the form of tables.
It offers official driver support for top programming languages. The list includes C, C#, .Net, C++, Java, Go, Node.js, PHP, Python, Perl and Scala among others. This helps in creating an application by using any of these languages. This is also being used by many companies like Facebook, eBay, Google, Adobe, etc.
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An important question that arises here is what is MongoDB used for. It is being used by more and more companies but what exactly is the reason behind this increasing popularity? Let's find out!
It stores gigantic amounts of structured and unstructured data. This data is both vertically and horizontally scalable. Indexes are employed to enhance search performance. Range, expression and field queries are used for searches.
Data is integrated for applications. This also includes being done for hybrid and multi-cloud apps.
Document DBs facilitate the embedding of documents for describing nested structures. It refers to a structure present within a structure. Such DBs can also tolerate variations in data.
It plays a big role in running over multiple servers. This helps companies expand.
A major question to get an answer to after 'what is MongoDB' is 'how does MongoDB work?'. Its environment offers users a server for creating databases with MongoDB. Data is stored as records that are compiled of documents and collections.
Documents comprise the data that's needed to store in this database. These are composed of value and field pairs. These are considered the basic unit of data here. These documents hold similarity to JavaScript Object Notation but employ a different variant known as Binary JSON. There are many perks of using BSON and the biggest one is that it incorporates more data types.
The fields in association to these documents are quite similar to the columns in a relational DB. The values here can be different data types like other documents. Documents also encompass a primary key like a unique identifier. Its structure is altered by deleting or adding existing or new fields.
A suite of documents are called collections. These work as the equivalent of relational DB tables. Any type of data can be contained in these collections. The restriction, however, is that the data composed in a collection can't be spread across distinct DBs. multiple collections can be used by its users to create multiple databases.
The mongo shell pertains to a standard component of MongoDB's open-source distributions. Users can connect the Mongo shell to the current running instances after it is installed. The mongo shell works like an interactive JavaScript (JS) interface to this database. This allows its users to update or query data, while conducting administrative operations.
The BSON document storage as well as data interchange format provides a binary representation of JSON-akin documents. Automatic sharding is one of the main features. It makes sure that the data in this collection is distributed throughout various systems for uninterrupted horizontal scalability. This is more so important as data volumes increase with throughput requirements.
A single master architecture is used by the NoSQL DBMS for data consistency. Secondary databases are used for maintaining the copies of the primary DB. all operations are replicated automatically to secondary DBs for automatic failover.
There are plenty of amazing features of MongoDB. Extensive knowledge of each of these is needed to ensure optimum usage. Let's read more about it -
It refers to two (or more) instances used to offer high availability. These sets are composed of primary and secondary servers. The previous server is in charge of performing all the write and read operations. The latter one stores a copy of the data. The secondary one is used in case the primary replica fails.
This is a schema-less database. In essence, the DB is able to manage data without having the need for a blueprint.
This DB handles all load balancing without the requirement for a distinct and dedicated load balancer. It does so with the help of either horizontal or vertical scaling.
Both vertical and horizontal scaling are supported by this database. Vertical scaling works wonderfully by inserting more power to an already existing machine. Horizontal scaling, on the contrary, works by inserting more machines to the resources of a user.
Data in this database is stored in documents. This is done with key-value pairs as opposed to columns and rows. This renders the data even more flexible as compared to other SQL databases.
Related Article - MongoDB Tutorial For Beginners
The advantages of MongoDB are the reasons behind its unprecedented success. These perks have made it such a highly chosen name among organizations everywhere. This list is an overview of its benefits -
This database does not require any predefined schemas as opposed to other NoSQL databases. In fact, it stores just about any type of data. Users get a lot of flexibility for creating different fields in a document. This makes it easier to scale its databases, especially when compared to relational databases.
Its core function is its horizontal scalability. This makes it a highly useful DB when running big data apps. The database distributes data throughout a cluster of machines with sharding. Creation of data zones as per a shard key is also supported.
These objects can map to their native data types in various programming languages. The need for database joins reduces by embedded documents and leads to lower costs.
Several storage engines are supported and pluggable storage engine APIs are provided. These let third parties orchestrate their private storage engines.
Its built-in aggregation capabilities lets users directly run MapReduce code on the DB instead of running on Hadoop. Its own file system named GridFS is also included for best outputs.
This blog explores 'what is MongoDB' along with other key aspects. Learning about its working is essential for best usage of this database. There are many advantages that it brings on the table and each should be understood in depth. This impeccable database is at the forefront of many companies today with better future usage.
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