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DBMS > RocksDB vs. Spark SQL vs. TerarkDB vs. Tkrzw

System Properties Comparison RocksDB vs. Spark SQL vs. TerarkDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameRocksDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerarkDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Spark SQL is a component on top of 'Spark Core' for structured data processingA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA 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 modelKey-value storeRelational DBMSKey-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.52
Rank#80  Overall
#10  Key-value stores
Score19.56
Rank#34  Overall
#21  Relational DBMS
Score0.06
Rank#377  Overall
#57  Key-value stores
Score0.05
Rank#380  Overall
#59  Key-value stores
Websiterocksdb.orgspark.apache.org/­sqlgithub.com/­bytedance/­terarkdbdbmx.net/­tkrzw
Technical documentationgithub.com/­facebook/­rocksdb/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperFacebook, Inc.Apache Software FoundationByteDance, originally TerarkMikio Hirabayashi
Initial release2013201420162020
Current release8.10.0, December 20233.5.0 ( 2.13), September 20230.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache 2.0commercial inforestricted open source version availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaC++C++
Server operating systemsLinuxLinux
OS X
Windows
Linux
macOS
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnono
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.nononono
Secondary indexesnonono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnono
APIs and other access methodsC++ API
Java API
JDBC
ODBC
C++ API
Java API
Supported programming languagesC
C++
Go
Java
Perl
Python
Ruby
Java
Python
R
Scala
C++
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnononono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes, utilizing Spark Corenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infousing specific database classes
User concepts infoAccess controlnononono

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More resources
RocksDBSpark SQLTerarkDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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