Database Types reference data
Different database systems and their characteristics.
Different database systems and their characteristics.
Comparison of ACID (traditional RDBMS) and BASE (NoSQL) consistency models.
The CAP theorem: a distributed data store can provide only two of three guarantees simultaneously.
Comparison of database types: Relational, Document, Key-Value, Column-Family, Graph, and Vector databases with examples and best-fit use cases.
Property graphs (Neo4j, Amazon Neptune) vs RDF triplestores (Apache Jena). Query languages (Cypher, Gremlin, SPARQL). Use cases: social networks, recommendation engines, knowledge graphs.
Modern distributed SQL databases combining ACID with horizontal scaling: CockroachDB, TiDB, YugabyteDB, Google Spanner, Amazon Aurora, Vitess.
Document (MongoDB, Couchbase), Key-Value (Redis, DynamoDB), Column-Family (Cassandra, HBase), Graph (Neo4j, JanusGraph). CAP theorem, scaling, use cases.
Reference for all SQL JOIN types and their use cases.
Categories of SQL statements for data definition, manipulation, and control.
Comparison of time-series databases: InfluxDB, TimescaleDB, Prometheus, VictoriaMetrics, QuestDB, and ClickHouse. Storage engines, query languages, compression, and use cases.
One request returns the category with all of its dataset summaries. Append
?format=yaml or ?format=toon for the other encodings.
GET https://yjtoon.com/api/category/database-types?format=json