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DBMS > Splice Machine vs. STSdb vs. Ultipa

System Properties Comparison Splice Machine vs. STSdb vs. Ultipa

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Editorial information provided by DB-Engines
NameSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelRelational DBMSKey-value storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websitesplicemachine.comgithub.com/­STSSoft/­STSdb4www.ultipa.com
Technical documentationsplicemachine.com/­how-it-workswww.ultipa.com/­document
DeveloperSplice MachineSTS Soft SCUltipa
Initial release201420112019
Current release3.1, March 20214.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, 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 languageJavaC#
Server operating systemsLinux
OS X
Solaris
Windows
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes infoprimitive types and user defined types (classes)
Secondary indexesyesno
SQL infoSupport of SQLyesno
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
.NET Client APIRESTful HTTP API
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavano
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardno

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More resources
Splice MachineSTSdbUltipa
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