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LevelDB is an open-source on-disk key-value store written by Google fellows Jeffrey Dean and Sanjay Ghemawat. [ 2 ] [ 3 ] Inspired by Bigtable , [ 4 ] LevelDB source code is hosted on GitHub under the New BSD License and has been ported to a variety of Unix -based systems, macOS , Windows , and Android .
RocksDB, like LevelDB, stores keys and values in arbitrary byte arrays, and data is sorted byte-wise by key or by providing a custom comparator. RocksDB provides all of the features of LevelDB, plus: Transactions [16] Backups [17] and snapshots [18] Column families [19] Bloom filters [20] Time to live (TTL) support [21] Universal compaction [22]
LevelDB is an ordered key/value store created by Google as a lightweight implementation of the Bigtable storage design. As a library (which is the only way to use LevelDB), its native API is C++. It also includes official C wrappers for most functionality.
Key-value & Hierarchical & Document Yes Yes Yes Yes likely Java: Apache, Roy Fielding, Day Software: Apache 2.0: Berkeley DB/Dbm 1.x Key-value Yes No No No No C: old school Various Berkeley DB Sleepycat/Oracle Berkeley DB 5.x Key-value Yes Yes Yes Yes No C, C++, or Java dbm, Sleepycat/Oracle dual GPL-like Sleepycat License Apache Cassandra: Key ...
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LevelDB, an open-source on-disk key-value store; DistBelief, a proprietary machine-learning system for distributed training of deep neural networks. The "Belief" part is because it could be used to train deep belief networks. It was eventually refactored into TensorFlow. It was used to train the network in "the cat neuron paper". [12] [14]
An Ordered Key-Value Store (OKVS) is a type of data storage paradigm that can support multi-model database. An OKVS is an ordered mapping of bytes to bytes. An OKVS will keep the key-value pairs sorted by the key lexicographic order. OKVS systems provides different set of features and performance trade-offs.
Tkrzw is a library of routines for managing key–value databases. Tokyo Cabinet was sponsored by the Japanese social networking site Mixi, and was a multithreaded embedded database manager and was announced by its authors as "a modern implementation of DBM". [1]