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What is the role of NoSQL database in modern applications? aiming at this question, this article introduces the corresponding analysis and solution in detail, hoping to help more partners who want to solve this problem to find a more simple and feasible method.

Data model drivers can not only build effective applications, but also be effectively modified to incorporate new features. They are the bridge between the solution of the "real-world" problem and the behavior of the software world imitating the real world. Yes, software can work miracles, but no one needs it if it's not for a simpler life! This paper discusses the role of NoSQL database in modern application software.

Driving force

In the past few years, there has been a big shift in the choice of application development platform stack. Traditional WAMP and LAMP are gradually eliminated, while MEAN and CEAN gradually give play to their advantages. There are many reasons for this change. The most fundamental reason is the expectation of modern Web. The recent expectation is that Web applications are no longer limited to the transmission of information. Today, information processing and content analysis have become critical parts of our interaction with Web applications. This is also often referred to as Web 2.0. In the future, the growing number of smart devices and sensors connected to the Internet will continue to take advantage of more and more data generated by application users to provide intelligent value-added (also known as Web 3.0).

This paradigm of Web application transformation requires a wealth of data. At the same time, making data available for consumption is equally important, and how unavailable data hinders the expected user experience and application development is another topic! However, it is worth mentioning that most user-oriented applications consume and process data from multiple data sources (data sources). As an extreme example, a travel booking site may rely on flight data and ticketing from multiple airlines, while credit card processing comes from another third party and itinerary is announced from another place. Not to mention, they may also cause users to share their booking experience on social media, like part of a user's end-to-end experience from their own Web app.

Well, I still haven't fully shown you the role of NoSQL. You may still want to know all the functions of NoSQL. So let's move on. In any case, it is important to understand the following changes. Today leads us to take advantage of new solutions that are created or developed in most cases, because they are not only very dependent on today or simply because they are possible today (compared to accusing previous computer revolutions).

NoSQL allows complex structures

The SQL database is structured. However, when dealing with application requirements, they can lead to some degree of defects due to field scope, foreign key relationships, normalization techniques, and so on. For example, a customer order object is often a structure of normalized tables divided into headers and detailed types. NoSQL, on the other hand, can not only handle headers and details in a single structure. So, although the structure of the data model may be complex, it supports the establishment of entities close to a "real world". Of course, the cost of this capability is to push data integrity management to the application layer of the program.

NoSQL and REST-based Architecture

If you use Web services or API, it happens that your API defaults to JSON response (if not, you should try). NoSQL databases, such as MongoDB and CouchDB, store data (called documents) in JSON format. This makes it much easier to encode the API response than to receive the array. The adoption of a higher level of API leads to highly integrated applications, and NoSQL databases are well suited for providing and consuming information in terms of storage.

NoSQL brings scalability

The idea of NoSQL database design is to split it into multi-node databases, thus providing great scalability. For example, MongoDB can currently scale to more than 100 nodes, which can be distributed in different data centers or places. Many NoSQL databases have also begun to support multiple node data partitions, helping to select computing resources for larger datasets, while reducing unnecessary replication, thereby reducing the cost of data repetition scalability.

So, SQL or NoSQL?

It depends on the application and specific scenarios. No, this is true, because there are many factors, such as:

1. Development tools and technologies may not support NoSQL's

two。 Suppliers (strategic partnerships, etc.) may still be a traditional SQL database in your company

3. Database vendors may provide some features that have NoSQL-like in traditional databases to meet the needs of current applications.

4. The data model may be like this, and the choice really makes no difference.

5. You support open source code (from an enterprise support point of view)

6. Your colleagues (developers, testers, etc.) may not be proficient yet.

Therefore, what kind of database to choose for your application is an architectural decision. Therefore, this article is by no means intended to influence your choice, but it can raise awareness of the widespread acceptance of NoSQL and highlight the role of NoSQL in modern applications.

It is important to understand how today's web applications adapt to the expectations of modern technology. It is important to balance NoSQL trends with requirements, roadmaps, and expectations from users, especially direct user interaction.

The answer to the question about the role of NoSQL database in modern applications is shared here. I hope the above content can be of some help to you. If you still have a lot of doubts to be solved, you can follow the industry information channel to learn more about it.

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