The specific databases chosen for the original (1st Edition, 2012) and updated (2nd Edition, 2018) versions of the book reflect the leading technologies of their respective eras. Analyzing these choices helps understand the book's temporal context.
1st Edition (2012) Lineup:
PostgreSQL (Relational): Included as the stable, feature-rich relational anchor. Its extensibility and powerful SQL features were already making it a strong contender. 2025 Relevance: Extremely high. PostgreSQL has continued its meteoric rise, becoming the "default" relational database for many new applications, especially in cloud environments, due to its south africa phone number list robustness, open-source nature, and vast feature set.
Riak (Key-Value): A distributed key-value store known for its focus on availability and partition tolerance. 2025 Relevance: Low. While conceptually important for key-value stores, Riak itself has largely faded from prominence in the general market, though its concepts live on in other systems.
HBase (Column-Family): Apache HBase, part of the Hadoop ecosystem, designed for massive, sparse datasets. 2025 Relevance: Moderate (niche). Still relevant in big data architectures built around Hadoop/Spark, but less frequently chosen for greenfield projects compared to cloud-native options or Apache Cassandra.