More Functionality

Data is dynamic. New data is continuously being captured, and older data may be updated to correct bad data points, fill in missing values, or substitute context-sensitive default values. Both scientific and commercial applications may need to re-analyze data, to reproduce results, compare results, validate results, and support audits.

SciDB contains capabilities for versioning your data and for distinguishing among many interpretations of missing values.

Feature Benefit
Data Versioning
 Data is never overwritten, even when it is updated. SciDB versions data so you can re-analyze previous moment-in-time datasets.
Reproducibility
 SciDB query languages let you refer to specific array versions within queries, allowing you to reproduce previous results at any time.
Missing Data Reason Codes
 SciDB supports multiple, custom-defined null values (such as data missing, source unavailable, trading halted, or instrument error) so that applications can substitute context-sensitive values.
 

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