Why mongodb is known as best nosql database?
There are many reasons that MongoDB is the most popular non-relational database by far, but one reason stands out across the broad spectrum of customers and users: Show
Agility. I suppose there once was a time when it was acceptable to take months (or years) planning out an application and its associated data schema, building it and then resisting any efforts to update it (because the data infrastructure was so calcified that change was painful if not impossible). We don't live in that time anymore. Particularly in this age of Big Data, we must constantly iterate on our applications as we hone the types of data we're collecting and deploying to improve our user experiences. This is hard to do with a relational database. It's like trying to win the World Series with the Kansas City Royals. Or the English Premiership with Stoke City. It's possible, but unlikely. Iteration is critical to satisfying customers and adapting fast enough to win markets, as noted on the Wide Awake Developers blog:
MongoDB enables such iteration. More than any other NoSQL database, and dramatically more than any relational database, MongoDB's document-oriented data model makes it exceptionally easy to add or change fields, among other things. So if a developer needs to quickly evolve an application, MongoDB's flexible data model facilitates this. Rather than fitting an application to meet schema requirements, the developer writes her application and the schema follows. Form follows function in MongoDB, as it were. Yes, MongoDB is popular because it's easy to learn and get started. Yes, it's highly scalable (auto-sharding, anyone?), cost effective and more. But the biggest reason MongoDB is wildly popular, in my experience? Because MongoDB enables profound developer agility through its flexible data model. Most developers are familiar with relational SQL databases, where tables are used for defining the structure of a dataset and where relationships are established by linking tables together. By contrast, NoSQL ("not only SQL") databases such as MongoDB store data using flexible models. But just because a NoSQL database isn't traditional doesn't mean it can't store relational data — it stores the same data differently and, in some cases, even more efficiently. Because NoSQL databases were built to tackle the complex data problems of the internet era, many can handle relational data while offering more modern functionalities such as:
Why use NoSQL databases?Many developers, accustomed to using RDBMS for decades, may not be aware of the advantages that NoSQL databases bring to applications built for today's internet. These advantages include:
What kinds of NoSQL databases are there?There are primarily four types of NoSQL databases in use today:
When is a NoSQL database the best option?NoSQL databases are best for modern applications where data models evolve and scalability is essential. NoSQL databases are often used in agile projects because schema changes — which are common — don't require a lot of overhead. This allows developers to focus on business logic and algorithms instead of dealing with schema updates. If you anticipate that your application's data model needs to remain flexible to accommodate changes over time, the flexible schema approach of NoSQL databases — specifically document databases — may fit well for your needs. Finally, scalability is a major reason to choose a NoSQL database. NoSQL databases have been designed for easy horizontal scaling without the need for specialized third-party components. MongoDB, for example, supports sharding out of the box. Whether you need to support hundreds of users or hundreds of millions of users, a NoSQL database can scale seamlessly. How do I choose a NoSQL database?The kind of NoSQL database that best fits your needs ultimately centers around a few main concerns: transactions, data models, query performance, scaling, and deployment. The following table lists the distinctive approaches for each of these concerns or when it would be advantageous to use a given type of NoSQL database over another.
All four types of NoSQL databases have a similar approach: excellent horizontal scaling achieved through a combination of in-memory support and distributed systems that serve the database from a cluster of nodes. Similarly, all four NoSQL databases are deployable as self-managed systems on-premises, in a private cloud, or as a DBaaS in the public cloud. With all types of NoSQL databases offering similar advantages over RDBMS, we see that the question of which kind of NoSQL database to choose depends mostly on your data model and querying requirements. What is the best NoSQL database for websites?Each NoSQL database type has its own pros and cons and your choice should depend on your actual use cases. Yet, for most modern websites, the ideal NoSQL databases to use are the document stores, as they support most general use cases. A document database is particularly suited for websites thanks to its ability to support complex data structures and parent-child relationships within a single document record. There is no need to incorporate object-relational mappers (ORMs) or object-document mappers (ODM) because document databases store the raw objects in JSON/BSON or similar formats. As the most efficient NoSQL database option for websites and API endpoints, MongoDB is easy to get started with, and it can grow and evolve with your website. MongoDB already has excellent integration with popular web programming languages like Python, PHP, Node, Java, Golang, and many others. Additionally, several libraries help with using MongoDB with various web frameworks like Laravel or Ruby on Rails. When to use MongoDB AtlasWhen you decide to use MongoDB for your website or web application, it may seem daunting to deal with setup and infrastructure. If you simply want to focus on building your app, you can offload the infrastructure concerns by using a DBaaS. You can let the experts at MongoDB handle the database management while your development team focuses on what they do best. MongoDB Atlas is the fully-managed DBaaS offering of MongoDB. That means you can sign up and start using a MongoDB database without deploying and managing a cluster yourself. You can decide how to scale and grow your cluster with a few simple clicks. MongoDB Atlas also offers a free tier, allowing you to learn and experiment with the platform. You can also choose which cloud provider to use for your cluster. So, if your application already runs on Amazon AWS, Microsoft Azure, or Google Cloud, then MongoDB Atlas can be deployed seamlessly in the same cloud and connect securely with your application. ConclusionNoSQL databases have enabled us to create applications that can scale to handle large volumes of data and a large number of users. They support a wide variety of use cases across industries. However, with so many different NoSQL databases out there, deciding which one to use is not easy. When choosing a database for a general purpose web application, document databases are the ideal choice. They support a variety of data structures without the overhead of implementing a wide column store. In addition, they enjoy the benefits of complex querying capabilities and simple scaling. MongoDB Atlas allows developers to build their web applications without managing database infrastructure, coupled with the flexibility of using whichever programming language they prefer. Ready to get started?Try MongoDB, the primer NoSQL database, in the cloud with MongoDB Atlas
FAQWhich NoSQL database is best?Which database is best for websites?Which NoSQL database should I learn?How do I choose a NoSQL database?Why is MongoDB known as the best NoSQL database?Which NoSQL database is the most intuitive for developers?Why is MongoDB the best database?MongoDB is built on a scale-out architecture that has become popular with developers of all kinds for developing scalable applications with evolving data schemas. As a document database, MongoDB makes it easy for developers to store structured or unstructured data. It uses a JSON-like format to store documents.
Is MongoDB the most popular NoSQL database?If you're looking for the most popular NoSQL database then look no further than MongoDB. It's the clear leader across several different measures.
Why MongoDB is better than other databases?MongoDB is almost 100 times faster than traditional database system like RDBMS which is slower in comparison with the NoSQL databases. There is no support for complex joins in MongoDB but RDBMS supports complex joins which can be difficult to understand and take too much time to execute.
Which database is best for NoSQL?As the most efficient NoSQL database option for websites and API endpoints, MongoDB is easy to get started with, and it can grow and evolve with your website. MongoDB already has excellent integration with popular web programming languages like Python, PHP, Node, Java, Golang, and many others.
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