ISO/IEC 9075-16:2023 addresses Information technology - Database languages SQL - Part 16: Property Graph Queries (SQL/PGQ), making it relevant for teams evaluating graph-query capabilities within the SQL family. As a derived document connected to ISO/IEC 9075, it supports technical review, documented evaluation, and compliance workflows where property graph querying needs to align with broader database language requirements. For procurement, engineering documentation, and verification activities, it helps define a clear reference point for assessing SQL-based graph data access.

Purpose of ISO/IEC 9075-16:2023

The main purpose of ISO/IEC 9075-16:2023 is to describe property graph querying within SQL, giving organizations a structured technical reference for graph-oriented database work. It is typically used when teams need to assess how SQL-based systems handle graph data models, query behavior, and operational consistency across implementations. In practice, this supports technical assessment, engineering specification review, and conformity assessment preparation where database language compatibility and query semantics are important.

Compliance applications of ISO/IEC 9075-16:2023

ISO/IEC 9075-16:2023 is useful in compliance workflows for database platforms, software validation projects, and data architecture reviews that include graph query processing. It may be referenced during technical validation, product evaluation, and laboratory evaluation to confirm that a system’s SQL capabilities align with the property graph query model described in the document. Procurement and governance teams may also use it as a compliance reference when comparing database products, documenting requirements, or supporting regulated technical review processes.

Benefits of ISO/IEC 9075-16:2023

Using ISO/IEC 9075-16:2023 can improve consistency in engineering validation and testing workflows by giving stakeholders a common basis for reviewing SQL/PGQ behavior. It supports risk management by reducing ambiguity in specifications for graph queries and helps teams document expectations more clearly during quality assurance and conformity assessment preparation. For organizations selecting or integrating database technologies, it can also streamline procurement review and technical documentation, especially where interoperability and repeatable evaluation are important.

• Defines a structured reference for SQL-based property graph queries
• Supports technical review of database language compatibility and behavior
• Useful for verification activities, product evaluation, and compliance workflows
• Helps align procurement decisions with documented engineering requirements