SciDB announced its first source-code release Open Letter to the SciDB Community on 24 September 2010.
In Overview of SciDB, Large Scale Array Storage, Processing and Analysis, the SciDB team says scientific data differs from business data because:
- scientific analysis typically requires mathematically and algorithmically sophisticated data processing methods
- data generated by modern scientific instruments is extremely large
I don’t find those convincing.
The article also claims: “…scientific data has a necessary and implicit ordering; for each element or data value there are other values left, right, up, down, next, previous, or adjacent to it.”
The content of such arrays is always numeric data and you can talk about numeric array databases.
I find the overall approach refreshing because it isn’t aiming for a general solution to all data issues.
Instead, a solution for numeric data in an array.
Now if we can just get past the search for a general semantic solution.
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