Database Types §

#database

Relational Databases §

• useful for CRUD Applications
• structure of data defined by a schema
• normalization & consistency
• DBs: Oracle DB

Key-Value Datebases §

• for highly scalable, performant and distributed (sharded) database
• small storage cost
• only for simple queries
• DBs: Redis

Document Oriented Databases §

• denormalization & eventual consistency
• structure is defined by input into document (no schema)
• ideally, for each database fetch request, one collection contains all required data. This means data might be duplicated between collections if multiple requests require similar data.
• data safety has to implemented in software logic
• no joins (only in relational databases)
• DBs: MongoDB

Graph Databases §

• when data is highly interconnected
• DBs: Neo4j

Blob Storage / Object Storage §

• DBs: AWS S3, OpenStack Swift

Full-text Indicing §

• Elasticsearch useful for full-text search
• OpenSearch fork von ElasticSearch
  • Erlaubt SQL Abfragen