Relational Backend Service
Relational databases are widely preferred for the level of convenience they offer to developers. They enable users to perform secure and hassle-free storage and access of data using technologies such as SQL.
A Relational backend service can be utilized by businesses across various industry sectors and is considered more useful than other database models. Please take a look at the information given below to understand relational databases and their advantages.
What is a Relational Database?
A relational database performs data organization in tabular form, in a setup where the tables can be related to each other based on their common data. It enables users to fetch a new table from the data shared in single or multiple tables by using a single query. Users can also gain a better understanding of the relationships between different data and obtain insights for improving decision-making.
Let’s consider a real-world scenario example. A business can maintain a table with data about each customer account, along with single or multiple transaction tables with data for individual transactions. The fields in a Customer Table might include columns such as:
|Company Name||Company Address||Customer ID|
|Back4app||440 N Wolfe Road||12345|
The columns of a transaction table can include Customer ID, Transaction Date, Payment Method or Transaction Amount, etc. Both the customer table and transaction table in the database can be related depending on the common field i.e. Customer ID. Users can perform table querying to create reports and statements based on their requirements.
|Transaction ID||Customer ID||Transaction Date||Payment Method||Transaction Amount|
|ABCD||12345||Jan 1, 2020||Credit Card||$100|
Users who generate reports utilize the queries and execute them based on requirements for report generation. Currently, many businesses use relational databases for a wide variety of actions such as sales, inventory and finance tracking, and performing financial projections.
Benefits of a Relational Database
Normalization – Relational databases are based on the theory of rational sets. Normalization is a key component of these databases. Relational databases support relational operations with normalized tables. They also offer support for relational algebra and relational set theory operations. Relational databases support mathematical set operations including difference, union, intersection, and Cartesian product. They also support other operations such as project, relational join, select, and division operations. Only relational databases can offer support for these operations.
High Security – Relational databases offer a high level of security to users. Most relational databases provide support for access permissions, enabling administrators to utilize requirement-based permissions to access stored data. Relational databases also offer support for user rights and users and address the security requirements of databases. Database relations are related to privileges such as select, create, insert, delete, and grant. These are used for authorizing users for different operations within a database.
Dynamic views – Relational databases offer support for dynamic views. Within this type of database model, views are dynamic instead of being physical schema components. Changing data within a table results in changing the data by the view. Views can be utilized for subsetting data, simplifying and joining relations, minimizing storage requirements, and hiding data complexity.
Operational simplicity – Relational databases utilize SQL, one of the easy to learn, and human-readable languages. SQL instructions are simple and can be easily implemented in a database. Most vendors offer support for the SQL standard. Flat files technology offers support for sequential data storage and does not offer convenient query and search options. Conversely, relational databases can help users access simple operations for handling and retrieving data within databases. In addition, relational databases consolidate relationships between tables. This enables users to get a full overview of stored data.
What is a Backend as a Service?
Backend as a service or BaaS is a cloud service model that enables developers to perform swift backend development automation and effortless cloud infrastructure management. A BaaS company handles all the responsibilities related to running and maintaining servers for users. BaaS offers a wide array of tools to developers that facilitate better backend code and faster development. Some standout features of BaaS are file storage, APIs, push notifications, and data management.
A BaaS setup uses SDKs and APIs for the purpose of connecting apps to their cloud backend services. APIs of BaaS are built to function as the bases of Android and iOS platform applications. Users of BaaS backends are not required to make any hardware purchases. It is also regarded as an easy-to-use and flexible cloud service model. BaaS aids in making API creation a simpler task.
Benefits of a Backend as a Service
Scalable – BaaS offers significant scalability to developers, making it a popular choice for many. This cloud service model enables users to scale BaaS resources based on their requirements effortlessly.
Easy to use – TheBaaS model is one of the easiest to use cloud service models. It does not need developers to carry out any type of maintenance or hosting activities. These are all managed by a BaaS service provider.
Time-saving – BaaS ensures fast development as users do not expend efforts towards running and managing servers. BaaS makes resources readily available to users to help them perform the necessary development actions. Application development is generally considered to be faster than most other cloud service models.
Peak flexibility – BaaS is known to be more flexible than most other cloud service models. It is quite convenient for the development of mobile applications. They can also be used for API deployments and web development.
Shorter market launch time – Implementing BaaS translates to users no longer requiring the services of a dedicated backend developer for completing development and database connections. As a result, developers have to write fewer lines of code. Companies can keep their development team small and also sharply reduce the time to market.
Easy recovery – BaaS offers multiple redundancy levels, facilitating easy availability of backups if data is deleted or lost. Multiple copies of data are stored across independent locations. BaaS is preferred by many for its recovery options.
Opting for a reputed relational backend service can help developers ensure faster and more secure data management. Get in touch with an experienced consultant to discover the most high-quality backend options.
What is a Relational Database?
A relational database performs data organization in tabular form, in a setup where the tables can be related to each other based on their common data. It enables users to fetch a new table from the data shared in single or multiple tables by using a single query.
SQL and Relational Database are the same thing?
Not realy. SQL is a domain-specific language used in programming and designed for managing data held in a relational database.
What is a Backend as a Service?
is a cloud service model that enables developers to perform swift backend development automation and effortless cloud infrastructure management.