Database Consistency vs Non-Relational Databases

Developers should understand and implement database consistency to build reliable applications where data integrity is critical, such as in financial systems, e-commerce platforms, and healthcare databases meets developers should use non-relational databases when dealing with big data, real-time web applications, or scenarios requiring high scalability and performance, such as social media platforms, iot systems, or content management. Here's our take.

Database Consistency

Nice Pick

Developers should understand and implement database consistency to build reliable applications where data integrity is critical, such as in financial systems, e-commerce platforms, and healthcare databases

Pros

• It prevents data anomalies, ensures accurate reporting, and supports transactional reliability, especially in distributed systems where consistency models like strong consistency or eventual consistency must be chosen based on use cases like real-time analytics or high-availability web services
• Related to: acid-properties, transaction-management

Cons

• Specific tradeoffs depend on your use case

Non-Relational Databases

Developers should use non-relational databases when dealing with big data, real-time web applications, or scenarios requiring high scalability and performance, such as social media platforms, IoT systems, or content management

Pros

• They are ideal for applications with evolving data schemas, where the rigid structure of relational databases would be a limitation, and for distributed systems that need to scale out across multiple servers
• Related to: mongodb, cassandra

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Database Consistency is a concept while Non-Relational Databases is a database. We picked Database Consistency based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Database Consistency wins

Based on overall popularity. Database Consistency is more widely used, but Non-Relational Databases excels in its own space.