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Databases for companies
The basis for successful digitisation
The digital world consists of algorithms and data structures. Huge databases are the basis for the success of global corporations such as Google, Amazon and others. A glance at the data volumes around the world reveals truly staggering numbers. According to statistics, the volume of data generated worldwide this year will exceed 150 zettabytes. To put this into perspective: a zettabyte is a billion terabytes.
Big data, real-time data and more: data is the stuff that determines the success or failure of companies today. Whether it’s customer data, sales figures or product information, successful business depends on whether data is efficiently stored, managed and analysed. Databases are the tool for working with the wealth of information in a structured way.
We show you the role that databases play for companies and their business processes and what you should consider when choosing a database solution.
Why databases are so important for companies
A well-structured database is at the core of important business applications, such as ERP systems or CRM software. The structured processing of data forms the basis for efficient business processes. It thus ensures better economic decisions and that companies remain competitive.
Specifically, we are talking about four advantages that a well-structured database can have for companies:
- Data integrity: Structured databases ensure the consistency and correctness of all information. They guarantee that all data can be stored without errors and that no duplicate data sets are saved.
- Access speed: A well-designed database enables information to be retrieved quickly. This is particularly important when a large amount of data is being processed simultaneously.
- Scalability: A database must be able to keep pace with the growth of the company. Modern databases can be scaled easily and without compromising performance.
- Data security: Data security is extremely important for companies. A good database protects sensitive data with modern security features against unauthorised access.
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Databases for companies: the differences
In almost all cases, trinidat programmers develop software that is individually developed according to customer requirements on the basis of a three-tier software architecture. In addition to the user interface and the application layer, where the entered information is processed, we place a lot of emphasis on an optimally programmed data layer, that is, the data layer of the application. For typical applications used in companies, relational databases (SQL) are recommended, which can be operated on premise or in the cloud. In a web application, the data layer consists of the database, which is managed by a database management system (DBMS), such as Microsoft SQL Server. On the other hand, the program components that access the database directly, read, write and update data, and convert data into objects (O/R mappers) are also components of the data layer.
We can roughly divide databases for companies into different categories: relational and NoSQL databases, which offer different advantages depending on the company’s business area and the software’s area of application. In addition, there are cloud-based databases.
1. Relational databases (SQL)
In relational databases, data is organised in tables that are interrelated. They are based on structured data and use the Structured Query Language (SQL) query language. Storing data in defined tables with a fixed schema ensures structured data management. Data remains consistently accessible at all times. In this respect, most applications in the corporate environment use this form of database.
2. NoSQL databases and object-oriented DBMS
For social media platforms or IoT applications that have to process large and unstructured amounts of data, NoSQL databases such as MongoDB, Cassandra and Couchbase are suitable. The advantage of these databases for companies is their high flexibility and scalability. Various data types such as documents or graphs can be stored here.
For applications that have to manage very large amounts of data with different types of data, such as big data analyses or real-time analyses, a non-relational database for companies may be the right choice.
3. Cloud-based databases
In addition, cloud-based databases are becoming more and more prevalent. In the cloud, there are not only relational databases but also NoSQL and object-oriented databases. With providers such as Amazon Web Services (AWS), Microsoft Azure and Google Cloud, tech giants have brought scalable, secure and comparatively inexpensive databases to the web.
For companies, there are three advantages: cloud solutions are cost-efficient because companies only pay for the storage and computing power that they actually use. The storage is effectively infinite. This means that databases can be adapted to meet the growing needs of the company. And internal IT benefits because maintenance, updates and the like are taken care of by the providers.
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