Top 9 NoSQL Database Use Cases - rnakidi/dsa GitHub Wiki
Top 9 NoSQL Database Use Cases
Different databases excel in different areas and it’s important to choose the right database for the requirement.
1 - MongoDB (Document Store) Used for content management systems and catalog management. Features BSON format, schema-less design, supports horizontal scaling with sharding, and high availability with replication
2 - Cassandra (Wide-column Store) Ideal for time-series data management and recommendation engines. Offers wide-column format, distributed architecture, and CQL for SQL-like querying.
3 - Redis (Key-Value Store) Suited for Cache, Session Management, and Gaming Leaderboards. Provides in-memory storage, support for complex data structures, and persistence options with RDB and AOF.
4 - Couchbase (Document Store with Key-Value) Used for content management systems and e-commerce platforms. Combines key-value and document-based operations with memory-first architecture and cross-data center replication.
5 - Neo4j (Graph DB) Excellent for social networking and fraud detection. Features ACID compliance, index-free adjacency, Cypher Query Language, and HA cluster capabilities.
6 - Amazon DynamoDB (Key-Value and Document) Perfect for serverless and IoT applications. Supports both key-value and complex document data, managed by AWS, with features like partition data across nodes and DynamoDB streams.
7 - Apache Hbase (Wide-Column Store) Used for data warehouse and large-scale data processing. Modeled after Google’s Bigtable, offers Hadoop integration, auto-sharding, strong consistency, and region servers.
8 - Elasticsearch (Search Engine) Ideal for full-text search and log and event data analysis. Built on Apache Lucene, document-oriented, with sharding and replication capabilities, and a RESTful interface.
9 - CouchDB (Document Store) Suitable for mobile applications and CMS. Document-oriented, ensures data consistency without locking, supports eventual consistency, and uses a RESTful API.