So from all these points, we can see that both JSON and YAML have their strengths and their weaknesses. But one drawback of this is the possibility of infinite looping in some converters. But the above feature in YAML solves that problem. In JSON, it is impossible to serialize complex structures with object references. This is a very important feature in YAML that JSON does not offer. With this referencing, it is possible to write recursive data in the YAML file.įor this, we can define anchors in the YAML file using & and refer to them later using aliases, *. Therefore YAML format is used in many technology stacks like ElasticSearch, and Docker for storing configuration information.Īnother feature that YAML provides is the ability to reference other data objects. This has proven advantageous when writing configuration files where one developer can easily describe the configuration using the comments. We can comment anywhere in the document with a simple # character. YAML supports comments where JSON does not. But some considerably important features of YAML are not found with JSON. So far we discussed the pros of JSON over YAML. You can get the list of libraries and languages that support YAML here. YAML also has widespread support and many libraries for integrating it with various languages, but not as much as JSON. The JSON official website lists many languages with many supporting libraries for JSON. Therefore JSON has become the most widely used data interchange format for web applications and web services.įor any programming language, we can easily find a JSON library integrated with the language due to its popularity, its ease of implementation and its simplicity. And this has made JSON more popular among developers which results in more and more native support and this has improved the performance once again. In the data serialization contest, JSON is the winner because of the ability to quickly and easily parse JSON serialized data with its simpler design. However, in practical scenarios, this parsing may raise problems, but it is theoretically possible. What is simply meant by this is that we can parse JSON using a YAML parser. It is said that YAML is a superset of JSON format. On the other hand, if it was displayed in JSON format, the webpage would be useless. We can see this clearly in the YAML official website where it shows the content in YAML format: It is easily readable for anyone visiting the site. This has increased the readability of the YAML files, but it has made the parsing and generation of files somewhat complex. In contrast, the design goal of YAML is to provide a good human-readable format and provide support for serializing arbitrary native data structures. This has reduced the readability of the data, to some extent. The design goal of JSON is to be as simple as possible and be universally usable. Theoretically, both JSON and YAML are expected to perform the same task, that is, providing a human-readable data interchange format. And also YAML files are written with the extension YML in some places and both. The key/value pairs are separated with a colon and the lists begin with a hyphen in YAML. Unlike JSON, YAML uses the indentations just like in Python to show the levels in the data. YAML uses three dashes ( - ) to indicate the start of a document and three dots (. Pretty cool, right? To make things more interesting, the official YAML website is also displayed in YAML format. And YAML Ain’t Markup Language is the short name for YAML Ain’t Markup Language Ain’t Markup Language. YAML is the short name for YAML Ain’t Markup Language. The records are separated by commas and both field names and strings are enclosed with double quotes. JSON has a standard format for data storing. JSON is widely used with JavaScript but since it is language-independent, it can be used with any programming language. JSON is based on a subset of JavaScript programming language standard ECMA-262 3rd Edition-December 1999. JSON is the short name for JavaScript Object Notation. So JSON and YAML both are a way of storing the data objects and structures in files.Īlthough most of us know what JSON is, let’s have a quick introduction. According to Devopedia, data serialization is the process of converting data objects present in complex data structures into a byte stream for storage, transfer, and distribution purposes on physical devices. For example, any person who has used Docker surely knows what YAML is.įirst of all, let’s see what is meant by data serialization. YAML is not as common as JSON, but it is also a popular and awesome data serialization language. Any person with an interest in programming and technology knows what JSON is.
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