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DBMS > AgensGraph vs. Splice Machine

System Properties Comparison AgensGraph vs. Splice Machine

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMS
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#316  Overall
#28  Graph DBMS
#139  Relational DBMS
Score0.54
Rank#239  Overall
#112  Relational DBMS
Websitebitnine.net/­agensgraphsplicemachine.com
Technical documentationbitnine.net/­documentationsplicemachine.com/­how-it-works
DeveloperBitnine Global Inc.Splice Machine
Initial release20162014
Current release2.1, December 20183.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemedepending on used data modelyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesyes
SQL infoSupport of SQLyesyes
APIs and other access methodsCypher Query Language
JDBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
Java
JavaScript
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyes infoJava
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShared 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 Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
AgensGraphSplice Machine
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