So the upsides of Vespa over Elasticsearch are speeding up the rate at which it scales? Ah, that seems reasonable for a company this size, but is there something in there that's of use for Startups?

This blog post shows how Elasticsearch was used to reindex a 136TB dataset with 36B documents[1], so I'm unsure exactly where except for Google/Yahoo Scale companies Vespa is of use. I would like to understand howto utilize it though without adding an umnanagable complexity.

EDIT: Maybe a Vespa Cloud startup, that abstracts the management and makes "Scalability as a Service" by utilizing other Cloud providers.

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[1] https://thoughts.t37.net/how-we-reindexed-36-billions-docume...

[2] http://docs.vespa.ai/documentation/vespa-quick-start.html