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DBMS > Splice Machine vs. TigerGraph vs. Tkrzw

System Properties Comparison Splice Machine vs. TigerGraph vs. Tkrzw

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Editorial information provided by DB-Engines
NameSplice Machine  Xexclude from comparisonTigerGraph  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSGraph DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitesplicemachine.comwww.tigergraph.comdbmx.net/­tkrzw
Technical documentationsplicemachine.com/­how-it-worksdocs.tigergraph.com
DeveloperSplice MachineMikio Hirabayashi
Initial release201420172020
Current release3.1, March 20210.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoAGPL 3.0, commercial license availablecommercialOpen Source infoApache Version 2.0
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
LinuxLinux
macOS
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyes
SQL infoSupport of SQLyesSQL-like query language (GSQL)no
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infoJavayesno
Triggersyesnono
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 Integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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.yesnoyes infousing specific database classes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardRole-based access controlno

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More resources
Splice MachineTigerGraphTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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