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DBMS > AgensGraph vs. Netezza vs. Splice Machine

System Properties Comparison AgensGraph vs. Netezza vs. Splice Machine

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLData warehouse and analytics appliance part of IBM PureSystemsOpen-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 DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websitebitnine.net/­agensgraphwww.ibm.com/­products/­netezzasplicemachine.com
Technical documentationbitnine.net/­documentationsplicemachine.com/­how-it-works
DeveloperBitnine Global Inc.IBMSplice Machine
Initial release201620002014
Current release2.1, December 20183.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemsLinux
OS X
Windows
Linux infoincluded in applianceLinux
OS X
Solaris
Windows
Data schemedepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLyesyesyes
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
OLE DB
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
Java
JavaScript
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyesyes infoJava
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standard

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More resources
AgensGraphNetezza infoAlso called PureData System for Analytics by IBMSplice Machine
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