A growing business faces many challenges and opportunities, so it needs to plan for its future. Some tools and technologies are unique to today and may not work in the future. Choosing the right database is also important, which has become a challenging decision for organizations. This choice is very effective in your application architecture.
Suppose you have chosen a database for your current application that meets your needs due to the small number of users, but what happens after a few years and users increase? As the number of users grows and the data that needs to be saved, the scalability issue and several other problems arise in your app.
If your site is unable to respond to this volume of users, your business will be at risk and even may, your business experience failure. Finally, you need to spend more time, time and money to prevent these things from happening and replace your program's infrastructure.
Well, in this section, programmers always make arguments for choosing the best database of which database is more suitable for the program than the relationship and non-relational types. Both databases can store information but the difference is in how they are built, the type of information they store, and how they store information.
In this paper, scenarios will be discussed in which the advantages of non-related database are discussed. In addition, there are some NoSQL features, but keep in mind that there is no technology or database that is suitable for everything.
So to choose any technology, you first need to answer a few important questions about the needs of your program. The answers to these questions will help you understand your needs and you can find out if NoSQL meets your app's needs.
- Can your app continue service as the number of users grows?
- To respond to users' activities and requests, does your app need to change the scale?
- How much money and time is saved by 0% Downtime?
- Does your program use rapid development cycles? (Flexible data model)
- Does your program create huge amounts of data?
Let's talk about the 5 most important features of NoSQL databases, here's where you can decide better:
1. Multi-Model
Relational databases store data in a predefined structure. That is, you have to define your data structure in terms of how to place in tables and columns from the time you start development, and you need to change the structure whenever circumstances change. All of this leads to the creation of new columns, the definition of new relationships, reflecting new changes in the application, talking to database managers, etc. Will.
The NoSQL database provides more flexibility for data processing. There is no need to specify schema to get started. Also, the NoSQL database does not limit the type of data you can store side by side. Allows you to enter new data into the database depending on your needs. These are the reasons that make NoSQL suitable for agility developments that require faster implementation.
Developers and architects choose NoSQL to easily manage and manage data for various application development requirements.
2. Easy Scalable
Easy scalability is the main reason for choosing a NoSQL database. Well, we have to say that relational databases can also be scalable, but neither easily nor at a lower cost. Relational databases are based on the traditional concept of architecture, master-slave.
Increasing the scale means you need to install more processors, RAM and hard drives to increase capacity and load management to upgrade your servers. Maybe instead of a very large server, split databases in smaller pieces on multiple hardware servers. This is called Sharding, which is very complicated in relational databases, and here you need to think about changing your databases to prevent time from being damaged. These things have become a big problem for developers and architects.
The NoSQL database is masterless and peer-to-peer architecture. The data is balanced in several nodes in one cluster and distributed as pre-ferres. This makes it possible to achieve scalability without spending any particular time. By executing a few simple commands, we can add the new server to the cluster.
This scalability also improves performance, allowing for continuous access, very high reading and writing speeds.
3. Distributed
Relational databases are designed to be used in a centralized way and dependent on a specific location, but the NoSQL database is designed to be distributed globally, using several different locations, including multiple datacenters or cloud services, for reading and writing operations.
This database has many advantages with its masterclass architecture. Data can always be available, as data is distributed with different copies where necessary.
4. Frequency and Down Time Zero
What will happen if the hardware breaks down? NoSQL is also designed to address these types of critical situations. Hardware failure while developing an app is a serious concern and requires developers, database managers and finally various operations to fix this problem. You can use NoSQL databases instead of tackling these problems.
The masterclass architecture in NoSQL allows several copies of data to be preserved in different nodes. If a node is out of reach, another node will have a copy of the data for easy and quick access. All of this makes the NoSQL database work without hurting the business. It is also very cost-effective for those who consider the cost of Down Time.
5. Apps that interact with Big Data
The NoSQL database can handle huge amounts of data very quickly, which is why it is very suitable for programs dealing with Big Data. NoSQL databases ensure that other components of your app are seamlessly and quickly designed and can do well with massive data.
As we've said about many of the features and advantages of using the NoSQL database, you should consider that it doesn't fit for all apps. So there are some strengths and weaknesses on the other side, and you need to check the nature of your plan to select a database. Some projects are better developed with sql databases, while others work well with NoSQL, and both can be used in some cases.
If you save transaction data then SQL comes to your job. Relationship databases are created to process transactions and work well in this respect. If your data is analytical, then you need to think about NoSQL, the SQL database in data analysis, and working with massive data becomes a serious problem.
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