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DBMS > GBase vs. HugeGraph vs. Netezza

System Properties Comparison GBase vs. HugeGraph vs. Netezza

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonHugeGraph  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionAn analytical database for business intelligence with large customers in China.A fast-speed and highly-scalable Graph DBMSData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#190  Overall
#88  Relational DBMS
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Websitewww.gbase.cngithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­netezza
Technical documentationhugegraph.apache.org/­docs
DeveloperBaiduIBM
Initial release20182000
Current releaseGBase 8a0.9
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
macOS
Unix
Linux infoincluded in appliance
Data schemeyesyes
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 indexesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnoyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
OLE DB
Supported programming languagesGroovy
Java
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yes
User concepts infoAccess controlUsers, roles and permissionsUsers with fine-grained authorization concept

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More resources
GBaseHugeGraphNetezza infoAlso called PureData System for Analytics by IBM
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