An Embeddable Datastore Engine |
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About Vedis
Vedis is an embeddable datastore C library built with over 70 commands similar in concept to Redis but without the networking layer since Vedis run in the same process of the host application.
Unlike most other datastores (i.e. memcache, Redis), Vedis does not have a separate server process. Vedis reads and writes directly to ordinary disk files. A complete database with multiple collections, is contained in a single disk file. The database file format is cross-platform, you can freely copy a database between 32-bit and 64-bit systems or between big-endian and little-endian architectures.
Vedis is a self-contained C library without dependency. It requires very minimal support from external libraries or from the operating system. This makes it well suited for use in embedded devices that lack the support infrastructure of a desktop computer. This also makes Vedis appropriate for use within applications that need to run without modification on a wide variety of computers of varying configurations.
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Vedis Programming Interfaces.
Documentation describing the APIs used to program Vedis. Note that Vedis is very easy to learn, even for new programmer. Here is some useful links to start with:
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Vedis in 5 Minutes or Less |
A very quick introduction to programming with Vedis. | |
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Introduction To The Vedis C/C++ API |
Gives an overview and roadmap to the C/C++ interface to Vedis. | |
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Vedis is shipped with over 70 commands similar in concepts to standard Redis commands. This page presents each of the implemented command in details. |
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C/C++ API Reference Guide | This document describes each API function in details. | |
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Download Vedis |
Get a copy of the last public release of Vedis, start embedding and enjoy programming with. |
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Distinctive Features of Vedis |
This document enumerates and describes
some of the features and powerfull extensions introduced by Vedis. |
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Copyright/Licensing | Vedis is an Open-source product. Find more on the licensing situation there. | |
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Frequently Asked Questions |
The Vedis FAQ. |
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Online Support | Need some help, join the Vedis online community. |
Interested in Machine Learning & Computer Vision? try out Pixlab
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