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DBMS > DataFS vs. RocksDB vs. SQream DB vs. Tkrzw

System Properties Comparison DataFS vs. RocksDB vs. SQream DB vs. Tkrzw

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonRocksDB  Xexclude from comparisonSQream DB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Embeddable persistent key-value store optimized for fast storage (flash and RAM)a GPU-based, columnar RDBMS for big data analytics workloadsA 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 modelObject oriented DBMSKey-value storeRelational DBMSKey-value store
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitenewdatabase.comrocksdb.orgsqream.comdbmx.net/­tkrzw
Technical documentationdev.mobiland.com/­Overview.xspgithub.com/­facebook/­rocksdb/­wikidocs.sqream.com
DeveloperMobiland AGFacebook, Inc.SQream TechnologiesMikio Hirabayashi
Initial release2018201320172020
Current release1.1.263, October 20228.11.4, April 20242022.1.6, December 20220.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++, CUDA, Haskell, Java, ScalaC++
Server operating systemsWindowsLinuxLinuxLinux
macOS
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyes, ANSI Standard SQL Typesno
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.nonono
Secondary indexesnonono
SQL infoSupport of SQLnonoyesno
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
C++ API
Java API
.Net
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
C
C++
Go
Java
Perl
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions in Pythonno
Triggersno, except callback-events from server when changes happenednono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemhorizontal partitioninghorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
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.noyesyes infousing specific database classes
User concepts infoAccess controlWindows-Profilenono

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More resources
DataFSRocksDBSQream DBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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