The Selected Databases and Their Paradigms
Posted: Wed May 21, 2025 5:29 am
The specific databases chosen for the original (and largely, the second) edition reflect the state of the art and the emerging trends of the time. The 2nd edition (2018) updated some choices to maintain relevance.
The Original Lineup (1st Edition, 2012):
PostgreSQL (Relational): Included as the foundational relational database. It serves as a benchmark and a reminder that RDBMS still holds immense power and relevance, especially given its advanced features and extensibility.
Riak (Key-Value): A distributed, fault-tolerant key-value store, known for malta phone number list its focus on availability and partition tolerance. Exemplifies the simple, high-performance key-value paradigm.
HBase (Column-Family): The Hadoop ecosystem's distributed, non-relational, column-oriented database. Built on HDFS, it’s designed for massive datasets with sparse data and high write throughput.
MongoDB (Document): The quintessential NoSQL document database, known for its flexible JSON-like document model and ease of development. Highly popular for web applications.
CouchDB (Document): Another document database, but with a different philosophy emphasizing eventual consistency, offline-first capabilities, and built-in replication.
Neo4j (Graph): The leading graph database, designed to store and query relationships (edges) as first-class citizens. Ideal for highly connected data.
Redis (Key-Value/Data Structure Store): A highly performant, in-memory data structure store, often used for caching, session management, and real-time analytics due to its speed and support for various data types (lists, sets, hashes).
The Original Lineup (1st Edition, 2012):
PostgreSQL (Relational): Included as the foundational relational database. It serves as a benchmark and a reminder that RDBMS still holds immense power and relevance, especially given its advanced features and extensibility.
Riak (Key-Value): A distributed, fault-tolerant key-value store, known for malta phone number list its focus on availability and partition tolerance. Exemplifies the simple, high-performance key-value paradigm.
HBase (Column-Family): The Hadoop ecosystem's distributed, non-relational, column-oriented database. Built on HDFS, it’s designed for massive datasets with sparse data and high write throughput.
MongoDB (Document): The quintessential NoSQL document database, known for its flexible JSON-like document model and ease of development. Highly popular for web applications.
CouchDB (Document): Another document database, but with a different philosophy emphasizing eventual consistency, offline-first capabilities, and built-in replication.
Neo4j (Graph): The leading graph database, designed to store and query relationships (edges) as first-class citizens. Ideal for highly connected data.
Redis (Key-Value/Data Structure Store): A highly performant, in-memory data structure store, often used for caching, session management, and real-time analytics due to its speed and support for various data types (lists, sets, hashes).