What types of systems integration exist?

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There are several ways to integrate systems, such as the exchange of electronic data, the use of shared databases, the implementation of APIs, as well as horizontal and vertical integration models.

Each method has its own particularities, advantages and disadvantages, which highlights the importance of knowing the company's specific needs in order to choose the most appropriate solution.

Systems integration types have switzerland email list evolved to facilitate communication and data sharing between different technology platforms. They are essential for companies seeking efficiency, scalability and information security.

Currently, there are five most common types of systems integration: via API, legacy system integration, via database, via big data and integration with cloud services.

Discover the details of each of them:


Via API
API (Application Programming Interface) integration facilitates communication between independent systems . API stands out for its flexibility and efficiency, allowing systems to share functionalities and data in real time.

While there are several subcategories of APIs, including public and private, they all have the goal of making this connection between systems . By establishing these interconnections using a common code language, systems can pass data between them.


Legacy system integration
Legacy system integration refers to upgrading old systems , often creating bridges between outdated technologies and modern systems.

This approach is essential for organizations looking to innovate without completely replacing their existing infrastructure . In short, it allows the organization to connect legacy systems to newer systems;


Via database
Database integration occurs when different systems access and modify information directly in a common database . It requires careful access management to ensure data integrity and security.

For it to work, you need to use data extraction software.


Via Big Data
Data integration via Big Data involves the integration of systems that process large volumes of data and demand high processing capacity.

This type is essential in any Big Data project , because it allows the integration of data from multiple sources and in different formats . This way, you can combine all the data into a single view to be used for reporting and analysis.

In this case, Big Data is essential to analyze complex information and support strategic decisions based on data.