Json Query [best] Jun 2026

PostgreSQL offers robust JSONB support with the jsonb_path_query function using SQL/JSON path language (similar to JSONPath).

Extract specific values from large config files (e.g., Kubernetes manifests).

However, as applications grow in complexity, so does the JSON data they handle. A simple user.json file with 10 lines can quickly balloon into a 10,000-line nested monster containing deeply embedded arrays, dynamic keys, and mixed data types. json query

Modern databases have integrated JSON query capabilities, blurring the line between document and relational stores.

In the modern world of software development, APIs, and NoSQL databases, one data format reigns supreme: . Lightweight, text-based, and human-readable, JSON has overtaken XML as the de facto standard for data interchange. According to recent surveys, over 80% of public APIs use JSON. A simple user

"store": "book": [ "title": "Book A", "price": 25, "title": "Book B", "price": 35 ]

Incredibly powerful, supports regex, math, conditionals, and even defining custom functions. Weaknesses: Steep learning curve; syntax can be cryptic. offering memory safety and parallelism.

Modeled directly after XPath for XML. If you know XPath, you know 80% of JSONPath.

jq is a lightweight and flexible command-line JSON processor written in C. It has its own powerful, functional programming-like syntax.

Performance-obsessed tools like jql (not to be confused with jq) are emerging, offering memory safety and parallelism.