SciDB statistics

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SciDB specifications

Information


Unique identifier OMICS_06207
Name SciDB
Software type Framework/Library
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python, R
Parallelization MapReduce
License Commercial
Computer skills Advanced
Stability Stable
High performance computing Yes
Maintained Yes
Wikipedia https://en.wikipedia.org/wiki/SciDB

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SciDB in publications

 (4)
PMCID: 5750808
PMID: 29387171
DOI: 10.1080/17538947.2017.1332112

[…] performance, the dbms automatically partitions the data cube into tiles with the same dimensionality. additionally, array-dbmss such as rasdaman (baumann et al. ), sciql (kersten et al. ) or scidb (stonebraker et al. ) allow horizontal scaling, that is, distribution of the data cube on multiple server instances to facilitate load balancing and achieve a better performance. for example, […]

PMCID: 5087432
PMID: 27782052
DOI: 10.3390/s16101644

[…] storage and computing resources of the cloud present the best choice for the iot to store and process large amounts of data. there are some platforms for big data analytics like apache hadoop and scidb []. the dod is also trying to accelerate the adoption of commercial clouds []. the cloud security model [] defines six information impact levels from 1 (public information) to 6 (classified […]

PMCID: 4588804
PMID: 26287255
DOI: 10.3390/metabo5030431

[…] enables experimentalists to explore their raw data, specify and refine features annotations such that they can be leveraged for future experiments. fast queries of the data through the web using scidb, a parallelized database for high performance computing, make this process operate quickly. by using scripting containers, such as ipython or jupyter, to analyze the data, scientists […]

PMCID: 3105758
PMID: 21516115
DOI: 10.1038/nmeth.1600

[…] all primary data could easily be called using a uniform resource identifier (uri, akin to a web url). it is possible that new types of databases will be developed with science in mind (e.g., scidb; http://www.scidb.org/), but we predict that lightweight, adaptable, file-based data storage will always co-exist with server-based data management, and that sophisticated file formats […]


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