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DBMS > ArcadeDB vs. OrigoDB vs. SpaceTime vs. Transwarp KunDB

System Properties Comparison ArcadeDB vs. OrigoDB vs. SpaceTime vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpaceTime  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenA fully ACID in-memory object graph databaseSpaceTime is a spatio-temporal DBMS with a focus on performance.OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Document store
Object oriented DBMS
Spatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score0.14
Rank#341  Overall
#149  Relational DBMS
Websitearcadedb.comorigodb.comwww.mireo.com/­spacetimewww.transwarp.cn/­en/­product/­kundb
Technical documentationdocs.arcadedb.comorigodb.com/­docs
DeveloperArcade DataRobert Friberg et alMireoTranswarp
Initial release20212009 infounder the name LiveDB2020
Current releaseSeptember 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#C++
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesyes
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 infocan be achieved using .NETno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query language, no joinsnoA subset of ANSI SQL is implementedyes
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
.NET Client API
HTTP API
LINQ
RESTful HTTP API
Supported programming languagesJava.NetC#
C++
Python
Server-side scripts infoStored proceduresyesnoyes
Triggersyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedFixed-grid hypercubeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationReal-time block device replication (DRBD)
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 integrityyes inforelationship in graphsdepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlRole based authorizationyesyes

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