Based on our record, jq seems to be a lot more popular than Spring Batch. While we know about 155 links to jq, we've tracked only 2 mentions of Spring Batch. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I'd you're trying to bring this to a wider audience not already familiar with q, then the name collision with the more widely known jq project is a problem: https://stedolan.github.io/jq/. - Source: Hacker News / 4 months ago
First, we need to install jq via the installer available at https://stedolan.github.io/jq/. - Source: dev.to / 5 months ago
JQ is a lightweight and powerful command-line JSON processor. It's a time-saving tool for manipulating and extracting data from JSON files effortlessly. - Source: dev.to / 7 months ago
If you have jq installed you can use it to make the output look nicer. - Source: dev.to / 12 months ago
It requires jq for JSON processing and GNU parallel for concurrent searches in the notebooks. - Source: dev.to / 12 months ago
Batch jobs? Absolutely. https://spring.io/projects/spring-batch. Source: almost 2 years ago
Spring Boot: is my go to for REST APIs or workers https://spring.io/projects/spring-boot Spring Batch: for async/batch work https://spring.io/projects/spring-batch. - Source: Hacker News / almost 3 years ago
fx - Command-line JSON processing tool
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
jello - jello is a command line tool that filters JSON data using pure python syntax.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
HTTPie - CLI HTTP that will make you smile. JSON support, syntax highlighting, wget-like downloads, extensions, and more.
Apache Kylin - OLAP Engine for Big Data