How Akka Streams can be used to process the Wikidata dump in parallel

On a related note: When I indexed the whole English wikipedia last year, I was surprised, that it was possible to have a JSON version of it indexed[1] and searchable within half an hour on my laptop.<p>[1] Using parallel bulk indexer for ES: <a href="https:&#x2F;&#x2F;github.com&#x2F;miku&#x2F;esbulk" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;miku&#x2F;esbulk</a>

&gt; Process the whole Wikidata in 7 minutes with your laptop<p>Wikidata is several magnitudes smaller than Freebase (closed by Google in May) and it won&#x27;t fit in your RAM (laptop).

From their video: The presenter: &quot;Why would you (the assistent lady) be interested in cars?&quot; The assistent: &quot;I&#x27;m the perfect chick to be into Masserati.&quot;<p>It&#x27;s a bit disturbing to see an employee presenting her personal life, kids, interests, and what not. Good job, IntentHQ!<p>The video: <a href="https:&#x2F;&#x2F;www.intenthq.com&#x2F;resources&#x2F;interest-fingerprint&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.intenthq.com&#x2F;resources&#x2F;interest-fingerprint&#x2F;</a>

Could this example have been accomplished with awk and xargs just as fast, with same or less memory usage, in fewer lines of code?<p>Seems so to me after skimming the article, but maybe I missed an important advantage of using Akka Streams for this task?

Are streaming json parsers that rare?