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DBMS > OrigoDB vs. Splice Machine vs. TigerGraph

System Properties Comparison OrigoDB vs. Splice Machine vs. TigerGraph

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseOpen-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-time
Primary database modelDocument store
Object oriented DBMS
Relational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Score0.54
Rank#255  Overall
#116  Relational DBMS
Score1.83
Rank#141  Overall
#13  Graph DBMS
Websiteorigodb.comsplicemachine.comwww.tigergraph.com
Technical documentationorigodb.com/­docssplicemachine.com/­how-it-worksdocs.tigergraph.com
DeveloperRobert Friberg et alSplice Machine
Initial release2009 infounder the name LiveDB20142017
Current release3.1, March 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoAGPL 3.0, 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 languageC#JavaC++
Server operating systemsLinux
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyesyes
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 infocan be achieved using .NETno
Secondary indexesyesyes
SQL infoSupport of SQLnoyesSQL-like query language (GSQL)
APIs and other access methods.NET Client API
HTTP API
LINQ
JDBC
Native Spark Datasource
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.NetC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresyesyes infoJavayes
Triggersyes infoDomain Eventsyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritydepending on modelyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlRole based authorizationAccess rights for users, groups and roles according to SQL-standardRole-based access control

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More resources
OrigoDBSplice MachineTigerGraph
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