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DBMS > AnzoGraph DB vs. Kinetica vs. PostgreSQL vs. UniData,UniVerse

System Properties Comparison AnzoGraph DB vs. Kinetica vs. PostgreSQL vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonKinetica  Xexclude from comparisonPostgreSQL  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationFully vectorized database across both GPUs and CPUsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Multivalue DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitecambridgesemantics.com/­anzographwww.kinetica.comwww.postgresql.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.kinetica.comwww.postgresql.org/­docsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperCambridge SemanticsKineticaPostgreSQL Global Development Group infowww.postgresql.org/­developerRocket Software
Initial release201820121989 info1989: Postgres, 1996: PostgreSQL1985
Current release2.3, January 20217.1, August 202116.3, May 2024
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++CC
Server operating systemsLinuxLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesyesschema-free
Typing infopredefined data types such as float or dateyesyesoptional
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like DML and DDL statementsyes infostandard with numerous extensionsyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC++
Java
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingpartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles on table levelfine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system based

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More resources
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