Examples of DBMS - SS3 ICT Lesson Note

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There are various types of DBMSs designed for different purposes. Here are some examples:

Relational DBMS (RDBMS): These systems store data in tables with predefined schemas. Examples include:

Oracle Database
MySQL
Microsoft SQL Server
PostgreSQL

NoSQL DBMS: These databases are used for unstructured or semi-structured data and include types like:

MongoDB (document-oriented)
Cassandra (wide-column)
Redis (key-value)
Neo4j (graph)

Object-Oriented DBMS (OODBMS): These systems store data as objects, suitable for object-oriented programming. Example include:

db4o

NewSQL DBMS: These combine the benefits of traditional RDBMS and NoSQL databases, aiming for high scalability and performance. Example:

Google Spanner

In-Memory DBMS: These databases store data in memory for lightning-fast access. Example:

SAP HANA

Time-Series DBMS: Designed for handling time-series data efficiently. Example:

InfluxDB

Graph DBMS: Specialized for managing and querying graph data structures. Example:

Amazon Neptune

Each DBMS type serves specific use cases and offers different features, allowing organizations to choose the one that best fits their data management needs.

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