Nondatabase

Nondatabase is a term used to describe data storage and retrieval approaches that do not rely on a formal database management system. It typically refers to persistence layers or storage methods that lack the structured querying, indexing, and transactional guarantees associated with traditional databases. In practice, nondatabase solutions can include flat files (such as CSV, JSON, or YAML), simple key-value stores, in-memory data structures, spreadsheets, or object stores that are not accessed through a database engine.

The term is context-dependent and not a standardized category. It is often used in software development to describe lightweight or ephemeral persistence, configuration data, or temporary caches where a full database would add unnecessary complexity. Nondatabase approaches may also be used for data exchange, interoperability, or prototyping, where human readability and portability are advantageous.

Key characteristics include simplicity, portability, and minimal overhead, along with the trade-offs of reduced query power, lack of formal schemas, and weaker guarantees around data integrity, consistency, and concurrent access. Depending on the approach, there may be limited support for indexing, transactions, or complex joins, which makes nondatabase storage less suitable for large-scale, multi-user, transactional workloads.

Nondatabase is not a universal substitute for databases but a spectrum of lightweight or alternative persistence options. Choosing between nondatabase methods and a traditional database depends on data complexity, consistency requirements, performance needs, and project scope.