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Coding Blocks

Multi-Value, Spatial, and Event Store Databases

Mar 4, 2024
This podcast episode explores exotic databases like MultiValue DBMS storing multiple values efficiently, and Spatial DBMS for maps and polygons. They discuss implementations in real estate, event sourcing with Event Store databases, and database setup with Docker and Kubernetes. The hosts maintain a fun atmosphere with casual discussions on pronunciations, weather, moving, and Wi-Fi systems.
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Quick takeaways

  • Multi-value databases store arrays in attributes, ideal for scenarios needing multiple values per record.
  • Spatial databases efficiently handle spatial data like maps and polygons using custom data types.

Deep dives

Multi-Value Database Management Systems

Multi-value database management systems store data in tables similar to relational databases but have the capability to store multiple values in a particular record's attribute, allowing arrays or lists to be stored. Popular examples include Adabas, UniData/UniVerse, and JBase. This type of database differs from the relational model by enabling the storage of more than one value in an attribute, making it suitable for scenarios requiring arrays or lists.

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