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DBMS > HugeGraph vs. Ingres vs. Kinetica

System Properties Comparison HugeGraph vs. Ingres vs. Kinetica

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonIngres  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSWell established RDBMSFully vectorized database across both GPUs and CPUs
Primary database modelGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score4.67
Rank#77  Overall
#42  Relational DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.actian.com/­databases/­ingreswww.kinetica.com
Technical documentationhugegraph.apache.org/­docsdocs.actian.com/­ingresdocs.kinetica.com
DeveloperBaiduActian CorporationKinetica
Initial release20181974 infooriginally developed at University Berkely in early 1970s2012
Current release0.911.2, May 20227.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial
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 languageJavaCC, C++
Server operating systemsLinux
macOS
Unix
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesyesyes
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.nono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGroovy
Java
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyesuser defined functions
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseIngres ReplicatorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoedges in graphyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyes
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.yesnoyes infoGPU vRAM or System RAM
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
HugeGraphIngresKinetica
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