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On the other hand, data structures that can sustain high data ingestion rates tend to only support very simplistic queries.
Currently available search methods are simplistic, allowing queries based on single properties (e.g. searching for studies by a particular author, or from a particular year) or taxonomic scope (e.g. searching for all trees mapped to any taxon included in some specified higher taxon).
For initial work on our prototype, we are focusing particularly on the Query Processing and Optimization component and assuming fairly simplistic Metadata and Profiling components.
The lightweight template representation (usually, a set of amino acid residues) allows rapid queries against large databases; however, the templates are often overly simplistic and are incapable of capturing the rich physicochemical variations among binding pockets.
It should be noted that, as we have previously discussed, modern NoSQL databases often allow for fine-tuning of consistency and availability properties on a per-query basis, making the CAP-based classification ("AP", "CP", etc) overly simplistic [41, 44 46].
Simplistic, sure.
How simplistic.
Again, overly simplistic.
The logic is simplistic.
Query: huh?
"It's so simplistic.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com