Category
By <What Goes Around Comes Around… And Around…>
- MapReduce Systems
- Key-value Stores:
- Memcached, Redis
- Amazon DynamoDB
- Document Databases
- Column Family / Wide-Column Databases
- Cassandra, HBase, Google’s BigTable
- Text Search Engines
- Elasticsearch and Solr, which both use Lucene as their internal search library
- Array Databases
- Vector Databases
- Graph Databases
- Neo4j
- Tigergraph and JanusGraph
By Cloud
Database Technology Selection
-
HBase:
- 类型:宽表,column-oriented DB,列族存储数据库(Column Family)
- 写入性能:写入快,依赖顺序写入到 HDFS
- 读取性能:依赖 HDFS Block 读取,延迟相对高
- 数据模型:类似 Google Bigtable:表 → 列族 → 列
- 可用性 vs 一致性:偏向一致性(CP in CAP)
-
Hive
-
Cassandra,无列族
- 类型:分布式列式数据库,完全去中心化架构
- 写入性能:写入速度快,支持高并发
- 读取性能:支持高效读取,特别适合 OLTP
- 数据模型:表 → 行 → 列,类似 Bigtable,但无列族
- 可用性 vs 一致性:偏向可用性(AP in CAP)
-
Clickhouse
Reference
- What Goes Around Comes Around… And Around… - https://db.cs.cmu.edu/papers/2024/whatgoesaround-sigmodrec2024.pdf
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