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DBMS > Splice Machine vs. STSdb vs. SWC-DB

System Properties Comparison Splice Machine vs. STSdb vs. SWC-DB

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Editorial information provided by DB-Engines
NameSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 methodA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSKey-value storeWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitesplicemachine.comgithub.com/­STSSoft/­STSdb4github.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationsplicemachine.com/­how-it-works
DeveloperSplice MachineSTS Soft SCAlex Kashirin
Initial release201420112020
Current release3.1, March 20214.0.8, September 20150.5, April 2021
License infoCommercial or Open SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#C++
Server operating systemsLinux
OS X
Solaris
Windows
WindowsLinux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infoprimitive types and user defined types (classes)
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.no
Secondary indexesyesno
SQL infoSupport of SQLyesnoSQL-like query language
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
.NET Client APIProprietary protocol
Thrift
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
C++
Server-side scripts infoStored proceduresyes infoJavanono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShared Nothhing Auto-Sharding, Columnar PartitioningnoneSharding
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 Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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)yesyes
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.yesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardno

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More resources
Splice MachineSTSdbSWC-DB infoSuper Wide Column Database
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