Data Integration Software refers to a category of tools used to merge data from different sources into a unified format. The goal of data integration is to provide a comprehensive view of an organization's data by combining information from various systems such as databases, files, and web services. The software is used for a variety of purposes including business intelligence, data warehousing, data migration, and application integration. It can be used to manage data from various sources, perform data cleansing, and transformation. There are several types of Data Integration Software such as ETL (Extract, Transform, Load), ELT (Extract, Load, Transform), and CDC (Change Data Capture) tools. ETL tools are used to extract data from multiple sources, transform it, and load it into a target system. ELT tools differ from ETL in that they load the data first and then transform it. CDC tools are used to capture changes to data in real-time, making it easier to keep data up-to-date. When choosing Data Integration Software, it is essential to consider factors such as the type of data integration needed, data volume, scalability, ease of use, and compatibility with existing systems. It is also important to consider the cost, support, and security features of the software.