What are the key features of Couchbase database?
Some key features of Couchbase database include:
- Distributed Architecture: Couchbase utilizes a distributed architecture that allows for horizontal scaling to handle large-scale data and high concurrent access demands. It supports automatic data partitioning and load balancing, enabling the addition or removal of nodes in the cluster without disrupting services.
- Memory-first: Couchbase is a memory-first database that uses memory as its primary data storage medium to provide low latency and high throughput data access. Data is cached in memory to speed up read and write operations.
- Couchbase is a NoSQL database that stores and organizes data using a document model, where documents are represented in JSON format as semi-structured data with flexible schemas and fields, making it suitable for a variety of applications and data processing needs.
- Data Replication and Persistence: Couchbase utilizes cross-data center data replication and persistence technology to ensure the reliability and durability of data. It automatically replicates data to multiple nodes and data centers to provide high availability and disaster recovery capabilities.
- Real-time data querying and analysis: Couchbase supports real-time data querying and analysis, enabling complex data query and analysis operations through its built-in indexes and query engine. It also offers features such as full-text search, geospatial querying, and data analysis to meet the needs of different application scenarios.
- High concurrency and scalability: Couchbase possess features of high concurrency and scalability, capable of handling a large volume of concurrent read and write requests, and can scale horizontally when needed to support more users and data loads.
Overall, the main features of Couchbase include distributed architecture, memory-first approach, NoSQL database, data replication and persistence, real-time data querying and analysis, high concurrency and scalability. These features make Couchbase a suitable solution for large-scale, high-performance, and high-availability data storage and processing.