What sets Couchbase apart from other databases?

Couchbase differs from traditional relational databases (such as MySQL, PostgreSQL) and NoSQL databases (such as MongoDB, Redis) in the following ways:

1. Data model: Couchbase employs a document database model, similar to MongoDB. Document databases store data in the form of documents, each of which can contain different fields and data types. In contrast, traditional relational databases use a tabular structure to store data, with each table containing fixed columns and rows.
2. Data storage: Couchbase uses an in-memory storage engine for fast data read and write operations, while traditional relational databases typically store data on disk, resulting in slower read and write speeds.
3. Scalability: Couchbase has excellent horizontal scalability, allowing storage capacity and performance to be expanded by adding more nodes. Traditional relational databases and some NoSQL databases do not perform well in terms of scalability.
4. The CAP theorem states that Couchbase adheres to the partition tolerance aspect, allowing for data partitioning and fault tolerance. Traditional relational databases typically prioritize consistency, while NoSQL databases prioritize availability.
5. ACID Properties: Couchbase is an eventually consistent database that supports multi-master replication across data centers. While traditional relational databases typically adhere to ACID (atomicity, consistency, isolation, durability) properties, NoSQL databases may sacrifice consistency for performance.

Overall, Couchbase has unique advantages in high performance, scalability, and document storage, making it suitable for handling large-scale data and high concurrency access scenarios.