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DBMS > ArcadeDB vs. openGemini vs. Tkrzw vs. Valentina Server

System Properties Comparison ArcadeDB vs. openGemini vs. Tkrzw vs. Valentina Server

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonopenGemini  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetObject-relational database and reports server
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Time Series DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#366  Overall
#50  Document stores
#38  Graph DBMS
#53  Key-value stores
#36  Time Series DBMS
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitearcadedb.comwww.opengemini.org
github.com/­openGemini
dbmx.net/­tkrzwwww.valentina-db.net
Technical documentationdocs.arcadedb.comdocs.opengemini.org/­guidevalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperArcade DataHuawei and openGemini communityMikio HirabayashiParadigma Software
Initial release2021202220201999
Current releaseSeptember 20211.1, July 20230.9.3, August 20205.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
macOS
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesInteger, Float, Boolean, Stringnoyes
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 indexesyesyesyes
SQL infoSupport of SQLSQL-like query language, no joinsSQL-like query languagenoyes
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
HTTP RESTODBC
Supported programming languagesJavaC
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C++
Java
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyes infousing specific database classesyes
User concepts infoAccess controlAdministrators and common users accountsnofine grained access rights according to SQL-standard

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More resources
ArcadeDBopenGeminiTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetValentina Server
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