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Releases: neocoretechs/Relatrix

v3.0

16 Dec 20:32
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Realtrix provides a client/server model for KV store and function oriented database using transaction or transactionless clients and servers.
RockSack is used as the underlying deep store. RockSack is the Java Object Oriented implementation of Meta/Facebook RocksDB key/value store. Relatrix has been modified to use this high performance K/V store and OO implementation as the underlying store. The basic API has undergone some fairly significant changes to coexist with the standalone and transaction model of Rocks.
RelatrixServer, RelatrixKVServer, RelatrixKVTransactionServer, and RelatrixTransactionServer provide 4 different models to choose from in this release.

Maint2.2

25 Aug 15:39
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Java deep store featuring full transaction checkpointing and recovery, a novel query system, full standalone client/server or embedded mode, high performance and a small footprint. Streamlined and simplified database can be as simple as the included Key/Value server implementation, or as complex as the Category theoretic, function oriented server.
Bugfixes and refinement of subset/substream retrieval.

Maint2.1

13 Aug 19:48
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Java deep store featuring full transaction checkpointing and recovery, a novel query system, full standalone client/server or embedded mode, high performance and a small footprint. Streamlined and simplified database can be as simple as the included Key/Value server implementation, or as complex as the Category theoretic, function oriented server.

Relatrix

18 May 14:39
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Category theoretic, function oriented, Java deep store featuring full transaction checkpointing and recovery, a novel query system, full standalone client/server or embedded mode, high performance, small footprint, a Key/Value server implementation included. Test modules and examples, configuration file, dynamic classloading ability, Java Treemap and Treeset semantics, multithreaded, cluster, TCP and MPI configurations, exabyte storage level.

Relatrix

28 Sep 23:45
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Category theoretic database offering unique methods of set retrieval and supporting a new method of unstructured data storage.