'Metakit' fills the gap between flat-file, relational, object-oriented, and tree-structured databases, supporting relational joins, serialization, nested structures, and instant schema evolution. There is a C++ API, a Python binding (Mk4py), and a Tcl binding (Mk4tcl). Data files are portable, use auto-sizing ints and strings, and can efficiently store binary data from single bits to multi-Mb objects. MetaKit works well for moderate-size (a few dozen Mb) datasets, and offers excellent performance well beyond that size when its column-wise data model is fully taken advantage of.
DocumentationUser tutorials available in HTML format from http://support.articque.com/metakit/metakit_tutorial.html and http://www.markroseman.com/tcl/mktcl.html
released on 18 June 2015
Paid supportPaid support and consulting available from Equi4 Software at http://www.equi4.com/about.html
|License||Verified by||Verified on||Notes|
|X11||Janet Casey||18 March 2002|
Leaders and contributors
Resources and communication
|Developer||VCS Repository Webview||http://www.equi4.com/cgi-bin/cvsweb/metakit/|
This entry (in part or in whole) was last reviewed on 1 March 2017.
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