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DBMS > Hive vs. RocksDB vs. Tkrzw

System Properties Comparison Hive vs. RocksDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonRocksDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSKey-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score85.58
Rank#14  Overall
#9  Relational DBMS
Score3.73
Rank#88  Overall
#14  Key-value stores
Score0.00
Rank#354  Overall
#57  Key-value stores
Websitehive.apache.orgrocksdb.orgdbmx.net/­tkrzw
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­facebook/­rocksdb/­wiki
DeveloperApache Software Foundation infoinitially developed by FacebookFacebook, Inc.Mikio Hirabayashi
Initial release201220132020
Current release3.1.2, August 20196.22.1, July 20210.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSDOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsAll OS with a Java VMLinux
macOS
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnono
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
Thrift
C++ API
Java API
Supported programming languagesC++
Java
PHP
Python
C++
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing specific database classes
User concepts infoAccess controlAccess rights for users, groups and rolesnono

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More resources
HiveRocksDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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