how do TPSs and DDSs differ
To understand how TPSs (Transaction Processing Systems) and DDSs (Distributed Database Systems) differ, let's first understand what each of them is and their main functions.
1. TPS (Transaction Processing System):
- TPS is a type of information system that facilitates the processing of business transactions in real-time.
- It is used to handle routine, recurring transactions such as sales, inventory updates, payment processing, etc.
- TPS ensures data integrity, consistency, and concurrency control, as well as provides high availability and fault tolerance.
- Examples of TPS include point-of-sale systems, banking systems, airline reservation systems, etc.
2. DDS (Distributed Database System):
- DDS is a system where data is stored and managed across multiple computers or nodes that are connected through a network.
- It allows for the seamless sharing and access of data across multiple locations, enabling data replication, distribution, and synchronization.
- DDS provides scalability, fault tolerance, and improved performance by distributing data and processing load across multiple nodes.
- Examples of DDS include cloud-based databases, distributed filesystems, data grids, etc.
Now, let's discuss the differences between TPS and DDS:
1. Purpose:
- TPS: Its primary purpose is to facilitate the processing of business transactions in real-time.
- DDS: Its primary purpose is to store, manage, and provide access to data across multiple locations or nodes.
2. Data Processing:
- TPS: It focuses on processing individual business transactions, ensuring data integrity, and maintaining consistency in real-time.
- DDS: It focuses on managing and distributing data across multiple nodes, performing operations like data replication, distribution, and synchronization.
3. System Architecture:
- TPS: It typically operates on a centralized architecture, where all transaction processing occurs at a single location.
- DDS: It operates on a distributed architecture, where data is stored and processed across multiple nodes or locations.
4. Data Sharing and Accessibility:
- TPS: It primarily serves internal users within a specific organization and generally does not facilitate data sharing with external entities.
- DDS: It enables the sharing and accessibility of data across multiple organizations, nodes, or locations.
5. Scalability and Fault Tolerance:
- TPS: It can be scaled vertically (by adding more resources to a single node) but may have limitations in terms of horizontal scalability (adding more nodes).
- DDS: It is designed for horizontal scalability, allowing the addition of more nodes to handle increased data storage and processing requirements. It also provides fault tolerance by replicating data across multiple nodes.
In summary, TPS focuses on real-time transaction processing within a single organization, while DDS deals with distributed storage, management, and access of data across multiple locations or nodes, facilitating scalability and fault tolerance.