JSON

JSON is more compact, maps directly onto the object and array structures most programming languages already use, and is faster to parse in typical web and app contexts, which is why it became the dominant format for API responses.

No, standard JSON has no comment syntax — the specification reserves no token for comments, so // or /* */ sequences are simply invalid and a strict parser will reject them. To document metadata fields, DAM systems typically use a separate README or JSON Schema file describing each field's purpose and constraints. Some tools accept relaxed supersets like JSON5 or JSONC that do allow comments, but those are not valid plain JSON and won't parse with a standards-compliant parser.

By validating against a JSON Schema, since JSON itself has no built-in schema enforcement — a syntactically valid JSON file can still have unexpected or missing fields without a schema check.

Yes, JSON is well suited to long-term archiving of DAM metadata: it's plain text, human-readable, and implemented consistently across nearly every programming language, so there's no proprietary tooling needed to read it decades from now. Its specification (RFC 8259, mirrored by ECMA-404) has also stayed stable. The one gap is that JSON itself has no built-in schema-versioning mechanism — if metadata fields change, archives need a separate strategy, such as a version number in each file or versioned JSON Schema definitions kept alongside the data.

JSON is generally more compact and simpler for key-value and nested data; XML supports richer document structure, attributes, namespaces, and formal schema validation — many DAM systems use JSON for API/metadata exchange and reserve XML for document-internal structure.

Yes. JSON syntax must be strictly valid — every bracket and brace matched, every key double-quoted, no trailing commas — and parsers aren't built to skip or recover from errors. A single missing brace or one stray comma anywhere in the file makes the entire document fail to parse, not just the record with the mistake. Whether that takes down an entire DAM import depends on the pipeline: bundling metadata into one large JSON file means one bad file can halt the whole batch, while pipelines validating each record independently can quarantine the bad one and keep going.

Not natively — binary data has to be encoded as a text-safe representation like Base64 to be embedded in JSON, which increases size significantly compared to storing the binary file separately.

RFC 4627, published in 2006, was JSON's original specification on the IETF's Informational track rather than a full standard, and it left some edge cases — like whether top-level values had to be objects or arrays — loosely defined. RFC 8259, published in 2017, superseded it as the current Internet Standard, tightening those ambiguities and aligning JSON with the parallel ECMA-404 specification. Both RFCs still turn up in documentation: older systems and tooling predating 2017 often cite RFC 4627, while modern references point to RFC 8259 as the authoritative standard.