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DBMS > BaseX vs. Splice Machine vs. Transwarp StellarDB

System Properties Comparison BaseX vs. Splice Machine vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonSplice Machine  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA distributed graph DBMS built for enterprise-level graph applications
Primary database modelNative XML DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitebasex.orgsplicemachine.comwww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.basex.orgsplicemachine.com/­how-it-works
DeveloperBaseX GmbHSplice MachineTranswarp
Initial release20072014
Current release11.0, June 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyes
Secondary indexesyesyes
SQL infoSupport of SQLnoyesSQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBC
Native Spark Datasource
ODBC
OpenCypher
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyes infoJava
Triggersyes infovia eventsyes
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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.yes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsAccess rights for users, groups and roles according to SQL-standardyes

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BaseXSplice MachineTranswarp StellarDB
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