Every JSON tool is good at exactly one thing and bad at most of the others. People online answer “what should I use to look at this JSON?” as if it’s a single question, but the answer depends entirely on which one of three or four very different problems you have. This is a straight comparison — with the cases where each tool is the right answer, and the cases where it falls over.
The four tools
jq is a command-line JSON processor. Pipe a file at it, write a filter expression, get filtered JSON back. It’s a query language — closer to awk than a viewer.
JSON Crack visualizes JSON as a graph. Nodes are connected by lines; you pan and zoom around a 2D canvas. Striking demos; great for showing the shape of nested data to someone in a meeting.
Chrome DevTools (and Firefox’s) opens JSON in a built-in pretty-printer when you visit a URL that returns application/json. Collapsible tree, syntax highlighting, no install.
Big JSON Viewer is a virtualized tree viewer in the browser for files too big for the others. Stream parse, constant-time scroll, search, fold, copy by key path.
The use-case grid
Eight situations and which tool wins each:
1. “Filter every record where status === 'failed'”
jq, by a mile. jq '.[] | select(.status == "failed")' is two seconds of typing. None of the visual tools can do this; they show you the JSON, they don’t query it. Pair jq with a viewer for the result.
2. “Walk me through the structure of this API response in a meeting”
JSON Crack. The graph layout is the only one of these that’s legible at conference-room projector distance. The trade-off is that as soon as the file has more than a few hundred nodes, the graph becomes a blur of overlapping lines. Use it for explanatory walkthroughs, not for finding things.
3. “The browser already opened the URL and I want to read what came back”
Chrome DevTools. It’s already there. No install, no copy-paste. The built-in viewer handles up to a few hundred MB depending on the browser. Beyond that it freezes the tab.
4. “I have a 500 MB JSON dump from production and I need to find a specific record”
Big JSON Viewer. jq can grep it but won’t help you read the results. JSON Crack will spin its graph layout for a minute and then refuse. Chrome DevTools will freeze. We parse it with a virtualized renderer specifically because nothing else holds up at this size.
5. “I need to count things, sum things, or compute things across an array”
jq. It has aggregation built in: jq '[.[] | .price] | add'. Visual tools don’t do math.
6. “I want to share this JSON with a colleague and point them at one specific key”
Big JSON Viewer. The Share feature generates a public link to a Drive-hosted copy, with the cursor positioned on the key you selected. They open the link and land on the exact key. No tool that pipes through a CLI can do this, and DevTools / JSON Crack don’t have share URLs.
7. “I’m on a Linux server with no GUI and just want to read a 50 MB JSON”
jq, formatted output mode: jq . file.json | less. The visual tools all require a browser.
8. “The JSON has PII in it and I can’t upload it to a third-party server”
jq (offline, of course), Chrome DevTools (browser-local), or Big JSON Viewer (also browser-local; no upload). JSON Crack’s hosted version does send your data to their server. There’s a desktop version that doesn’t, but it’s a paid product.
Capability matrix
| Capability | jq | JSON Crack | Chrome DevTools | Big JSON Viewer |
|---|---|---|---|---|
| Open 500 MB file without freezing | Yes (streaming mode) | No | No | Yes |
| Visual tree with collapse | No | No (graph instead) | Yes | Yes |
| Graph layout | No | Yes | No | No |
| Query / filter expressions | Yes (jq) | No | No | No (search only) |
| Local-only (no upload) | Yes | No (hosted) / Yes (paid desktop) | Yes | Yes |
| Shareable link to a specific key | No | Limited | No | Yes |
| No install required | No | Yes (hosted) | Yes | Yes |
| Works on CI / scripts | Yes (it’s the point) | No | No | No |
The honest pairing
None of these tools makes the others redundant. The most common power-user setup is two of them at once: jq for filtering, Big JSON Viewer for reading the result. Run jq on the command line to slice your 500 MB dump down to the 200 records that matter; pipe the result to a file; drop the file into the browser to read it.
Or: DevTools for the API responses you stumble onto, Big JSON Viewer for the ones you save and want to come back to. JSON Crack for the meeting where you need to explain the shape; jq for the script that has to extract a metric.
If you’re hitting limits with one of these — the tab is freezing, the query is too complex for search, the graph is unreadable — that’s the signal to reach for the next one. Each tool is best at exactly the case another one is worst at.