Shared Disk Architecture vs Distributed Database

Developers should learn Shared Disk Architecture when building or maintaining systems that require high availability, load balancing, and data consistency across multiple servers, such as in database clustering (e meets developers should learn and use distributed databases when building applications that require horizontal scalability, such as social media platforms, e-commerce sites, or iot systems, to handle massive data volumes and concurrent users. Here's our take.

Shared Disk Architecture

Nice Pick

Developers should learn Shared Disk Architecture when building or maintaining systems that require high availability, load balancing, and data consistency across multiple servers, such as in database clustering (e

Pros

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• Related to: storage-area-network, network-attached-storage

Cons

• Specific tradeoffs depend on your use case

Distributed Database

Developers should learn and use distributed databases when building applications that require horizontal scalability, such as social media platforms, e-commerce sites, or IoT systems, to handle massive data volumes and concurrent users

Pros

• They are crucial for ensuring data availability and resilience in case of node failures, making them ideal for mission-critical systems where downtime is unacceptable
• Related to: database-sharding, data-replication

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Shared Disk Architecture is a concept while Distributed Database is a database. We picked Shared Disk Architecture based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Shared Disk Architecture wins

Based on overall popularity. Shared Disk Architecture is more widely used, but Distributed Database excels in its own space.