![]() Each table in the database carries a key that makes the data unique from others. A relational database uses SQL for storing, manipulating, as well as maintaining the data. This database is based on the relational data model, which stores data in the form of rows(tuple) and columns(attributes), and together forms a table(relation). One server failure will not affect the entire data set.Modular development is possible in a distributed database, i.e., the system can be expanded by including new computers and connecting them to the distributed system.Heterogeneous DDB: Those database systems which execute on different operating systems under different application procedures, and carries different hardware devices.Homogeneous DDB: Those database systems which execute on the same operating system and use the same application process and carry the same hardware devices.We can further divide a distributed database system into: Examples of the Distributed database are Apache Cassandra, HBase, Ignite, etc. Such links help the end-users to access the data easily. These database systems are connected via communication links. ![]() ![]() Unlike a centralized database system, in distributed systems, data is distributed among different database systems of an organization. If any server failure occurs, entire data will be lost, which could be a huge loss.It is not easy to update such an extensive database system. ![]() The size of the centralized database is large, which increases the response time for fetching the data.It is less costly because fewer vendors are required to handle the data sets.It provides better data quality, which enables organizations to establish data standards.Data consistency is maintained as it manages data in a central repository. ![]()
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