A data store is a data repository of a set of integrated objects and these objects are modeled using the classes defined in the database schema. Data store not only includes data repositories like databases but also includes flat files that can store data.
There are different types of data stores which are given below:
Relational Databases:
A relational database is used to match the data by using common characteristics found within the data set. The resulting groups of data are organized and are much easier for many people to understand. Relational database management system (RDBMS) is the software used to do this grouping. Relational database is used to store financial records, medical records, personal information and manufacturing and logistical data.
Distributed Data Store:
Distributed data store is a network in which a user stores their information on a number of peer network nodes. These are non relational databases that make a quick access to data over a large number of nodes possible.
Object Database:
It is a model of database in which the data is stored in the form of objects and these are the minor fields with in the broader database management systems. Object databases have applications in the fields like engineering, telecommunications, high energy physics and molecular biology. The object database has only small impact on mainstream commercial data processing.
Operational Data Store:
It is a type of database which is designed to integrate data from multiple sources for additional operations on the data. This data is then sent back to operational systems for further operations and also to the data warehouse for reporting. It uses the data integration technologies like data actualization or data federation to integrate data from disparate source systems in a single structure.
Any technology with out having a data store is in vain, hence data store is very much important in any kind of technological developments.