RDBMS for Large Data

Storing large, interconnected data in a relational database is a wise choice for applications. In the past, RDBMSs were complex and expensive, but now they are readily available and many capable ones are open source. Embedded database systems can also be easily linked into applications, requiring little management and offering great efficiency. Using an indexed RDBMS table is much faster than using a map collection type, particularly if the data exceeds the system's RAM. RDBMSs offer a declarative way to describe consistency constraints and allow for efficient links between entities through the creation of indexes. Multiple applications can access data safely, and each part of an application can be coded in the most appropriate language and platform. Using an RDBMS allows for optimization of SQL commands and frees developers from the need for algorithmic tuning. #RelationalDatabaseAdvantages