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DBMS > Graph Engine vs. Realm vs. Splice Machine vs. STSdb vs. TigerGraph

System Properties Comparison Graph Engine vs. Realm vs. Splice Machine vs. STSdb vs. TigerGraph

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonRealm  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen-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-time
Primary database modelGraph DBMS
Key-value store
Document storeRelational DBMSKey-value storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score7.41
Rank#52  Overall
#8  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitewww.graphengine.iorealm.iosplicemachine.comgithub.com/­STSSoft/­STSdb4www.tigergraph.com
Technical documentationwww.graphengine.io/­docs/­manualrealm.io/­docssplicemachine.com/­how-it-worksdocs.tigergraph.com
DeveloperMicrosoftRealm, acquired by MongoDB in May 2019Splice MachineSTS Soft SC
Initial release20102014201420112017
Current release3.1, March 20214.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJavaC#C++
Server operating systems.NETAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
WindowsLinux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)yes
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLnonoyesnoSQL-like query language (GSQL)
APIs and other access methodsRESTful HTTP APIJDBC
Native Spark Datasource
ODBC
.NET Client APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
F#
Visual Basic
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
C++
Java
Server-side scripts infoStored proceduresyesno inforuns within the applications so server-side scripts are unnecessaryyes infoJavanoyes
Triggersnoyes infoChange Listenersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realmyesno
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardnoRole-based access control

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More resources
Graph Engine infoformer name: TrinityRealmSplice MachineSTSdbTigerGraph
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