Hybrid Databases

Hybrid databases typically combine the features of traditional relational database management systems (RDBMS) with NoSQL (Not Only SQL) technologies.

These types of databases offer the various advantages of database management systems (DBMS) on a single platform, providing a wider range of use. Here are some key features of hybrid databases:

1. Diverse Data Models: Hybrid databases support both structured (SQL) and unstructured (NoSQL) data models. This allows users to store and query different types of data within the same database.
2. Flexibility and Scalability: Thanks to the flexibility of NoSQL components, hybrid databases can easily process and store large amounts of data. This is ideal for big data applications and rapidly growing data sets.
3. High Performance: Hybrid systems use both traditional relational database engines optimized for SQL queries and NoSQL technologies for distributed data processing and storage. This combination provides high performance in various scenarios.
4. Reliability and Durability: While maintaining the strong consistency and transactional integrity of relational databases, hybrid databases also benefit from the flexibility and fault tolerance of NoSQL.
5. Enhanced Data Management: Users can choose the most suitable management and querying tools for different data types. Hybrid systems simplify complex data operations by offering this flexibility.
6. Extensibility: Hybrid databases can be easily extended with new technologies and data models. This allows them to quickly adapt to future needs.

In summary, hybrid databases combine the best aspects of traditional and modern database technologies, offering flexible and scalable data management solutions that support various data types and workloads. These features make them a popular choice for big data, IoT (Internet of Things), and complex analytical applications.