NoSQL
Unlike a traditional relational database, a NoSQL database design utilizes a document storage format instead of storing data in rows and columns. The NoSQL architecture addresses many of the technical challenges presented by the new digital economy.
NoSQL Database Architecture
A traditional database uses relational tables to store data. Essentially, the data is stored in a matrix format consisting of rows and columns. NoSQL databases store their information in documents instead of a relational table format.
It is important to note that NoSQL denotes that the database uses “not only” SQL. It does not mean that the database literally does not use SQL at all. Scalability and speed are two of the largest benefits of the NoSQL database architecture. With the NoSQL database architecture implemented by AlioniTech, you can rest assured that your applications will be prepared to meet the challenges of today’s digital world.
Server Architecture
NoSQL
NoSQL database architecture has quickly gained popularity, in part, due to its ease of use by developers. Developers can utilize development patterns with NoSQL databases that are application-first or API-first patterns. This allows the development team to focus on the application’s functionality instead of the structure of the data models and entities. Databases today need to provide unprecedented agility, and traditional relational databases are unable to meet some of these demands. By utilizing a NoSQL database architecture, the team at AlioniTech can help ensure that your applications are more robust and scalable than ever before. With today’s world demanding real-time data management while delivering unprecedented speed and data variability, developers are turning to NoSQL architecture to meet these intense demands. Our team is highly experienced in implementing this type of architecture, and we can even transition your existing relational database instances over to this new architecture.
Why Choose NoSQL Database Architecture?
There are many reasons why organizations today are turning to NoSQL database architecture to meet the ever-changing demands of today’s enterprise applications. NoSQL architecture provides speed, scalability, and flexibility that is unmatched by traditional relational database solutions. Some examples of challenges that businesses are overcoming by using the architecture of NoSQL include the following:
Unstructured or Semi-structured data: It is no secret that relational databases must use strict data formatting and schema. This often presents a problem with data that is unstructured. For example, developers have traditionally had trouble with data types such as XML or JSON. However, those problems are nonexistent on the NoSQL architecture.
Fast development updates: Application updates are happening more frequently than ever, and this could sometimes be a problem with older database technologies. Updates might mean that your data model and schema have to be updated as well. NoSQL removes this requirement and allows developers to iterate quickly on the underlying application without worrying about schema updates.
Very large volumes of data: NoSQL database architecture is easily scalable, so it can handle the extremely large volumes of data that are required for some modern applications. Adding storage or capacity to relational databases often required adding more hardware or CPUs. However, NoSQL databases spread their storage out across multiple servers, so you can easily scale horizontally.
Let our team of experienced developers work with you to create a solution that will meet all your business needs.
Frequently Asked Questions
Here are some common questions about our NoSQL architecture services
Can SQL queries be used with a NoSQL database?
Yes, SQL queries can still be used with a NoSQL database. The term “NoSQL” signifies that “not only” SQL can be used with the database. Some people mistake this term to mean that no SQL can be used at all in this architecture. However, that is not the case, and SQL queries can still be used in this architecture.
Does NoSQL database architecture support data replication?
Yes, data replication is easy with NoSQL architecture, and this is one of the benefits of using a NoSQL database. Since your data is distributed across multiple nodes or servers, the data can be automatically replicated across those nodes. This built-in redundancy provides high availability for the data with ease. If one node goes down, the data is still available on other nodes within the cluster.
When should a NoSQL database be used instead of a relational database?
The decision of whether to implement a NoSQL database architecture depends on your specific needs and requirements. Many organizations are choosing to migrate to this architecture because of the demanding requirements of today’s applications. Some examples of requirements that might make sense for a NoSQL database include handling very large volumes of data, working with unstructured data, or needing the ability to iterate and deploy application changes rapidly.
Can NoSQL support large numbers of concurrent users?
Absolutely! This is one of the many benefits provided by the NoSQL architecture. These databases can support tens of thousands, maybe even millions, of concurrent users. Many organizations today support global enterprises with users spread all over the world. This is particularly true for e-commerce and other public applications. The ability to support a large number of users is crucial, and NoSQL can help you accomplish that.