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DBMS > Splice Machine vs. STSdb vs. TigerGraph vs. Yanza

System Properties Comparison Splice Machine vs. STSdb vs. TigerGraph vs. Yanza

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Editorial information provided by DB-Engines
NameSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparisonTigerGraph  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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 complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeTime Series DBMS for IoT Applications
Primary database modelRelational DBMSKey-value storeGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score0.03
Rank#365  Overall
#54  Key-value stores
Score1.44
Rank#152  Overall
#14  Graph DBMS
Websitesplicemachine.comgithub.com/­STSSoft/­STSdb4www.tigergraph.comyanza.com
Technical documentationsplicemachine.com/­how-it-worksdocs.tigergraph.com
DeveloperSplice MachineSTS Soft SCYanza
Initial release2014201120172015
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 availablecommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#C++
Server operating systemsLinux
OS X
Solaris
Windows
WindowsLinuxWindows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infoprimitive types and user defined types (classes)yesno
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
Secondary indexesyesnono
SQL infoSupport of SQLyesnoSQL-like query language (GSQL)no
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
.NET Client APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
HTTP API
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
C++
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infoJavanoyesno
Triggersyesnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShared Nothhing Auto-Sharding, Columnar Partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsYes, via Full Spark Integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnoRole-based access controlno

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More resources
Splice MachineSTSdbTigerGraphYanza
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