Database types and their uses

Relational databases:

  • ACID transactions
  • Strong consistency
  • Schema migrations can be complex
  • Good for structured data

Examples: MySQL, PostgreSQL, Oracle, SQL Server

Database types and their uses

NoSQL databases:

  • Eventual consistency
  • Schema-less
  • Better for unstructured data
  • Easier to scale horizontally

Examples: MongoDB, Cassandra, DynamoDB

Database types and their uses

Key-Value In-Memory databases:

  • Fast read/write operations
  • Limited storage capacity
  • Good for caching and session storage

Examples: Redis, Memcached

Database types and their uses

Search databases:

  • Full-text search capabilities
  • Good for indexing and searching large datasets

Examples: Elasticsearch, Solr

Database types and their uses

Graph databases:

  • Relationship-focused data model
  • Good for complex queries and traversals

Examples: Neo4j, ArangoDB

Database types and their uses

Vector databases:

  • High-dimensional data storage
  • Good for machine learning and analytics

Examples: pgvector, Faiss, Milvus, Infinispan