IQueryT

IQueryT is a declarative query templating framework designed to enable the construction and execution of parameterized queries across heterogeneous data stores. It provides a unified template language that can be compiled into native queries for relational, graph, and document databases while preserving type information and execution semantics. The primary aim is to improve reproducibility, portability, and safety of queries used in applications and dashboards.

Templates in IQueryT consist of static text mixed with placeholders and optional control blocks. At design time, a template is validated against a declared schema or data model. At runtime, parameter values are bound to placeholders with type checking, and the template is compiled to a backend-specific query plan. The engine supports plan caching, result streaming, and basic optimization hints.

Implementation and ecosystem: IQueryT provides adapters for popular backends and languages, with libraries available for Python, Java, and TypeScript. It emphasizes security features such as parameter escaping, access controls, and observable execution plans. The architecture typically includes a template compiler, a runtime binder, and backend adapters.

Syntax and example: A simple template might read "SELECT name FROM users WHERE city = ${city} AND status = ${status}". The system can also handle a subset of control constructs and type annotations to enforce constraints, enabling safer query generation. It is designed to be compatible with existing standards and to allow mapping to SQL, SPARQL, or JSON-based query styles via adapters.

Status and use: IQueryT is described in open-source documentation and community proposals. It remains a niche tool or library rather than a standardized language, with ongoing development and varying levels of support across projects.