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DBMS > AnzoGraph DB vs. GridGain vs. Ingres vs. OrientDB

System Properties Comparison AnzoGraph DB vs. GridGain vs. Ingres vs. OrientDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGridGain  Xexclude from comparisonIngres  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationGridGain is an in-memory computing platform, built on Apache IgniteWell established RDBMSMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelGraph DBMS
RDF store
Columnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score3.02
Rank#88  Overall
#16  Document stores
#6  Graph DBMS
#12  Key-value stores
Websitecambridgesemantics.com/­anzographwww.gridgain.comwww.actian.com/­databases/­ingresorientdb.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.gridgain.com/­docs/­index.htmldocs.actian.com/­ingreswww.orientdb.com/­docs/­last/­index.html
DeveloperCambridge SemanticsGridGain Systems, Inc.Actian CorporationOrientDB LTD; CallidusCloud; SAP
Initial release201820071974 infooriginally developed at University Berkely in early 1970s2010
Current release2.3, January 2021GridGain 8.5.112.0, July 20243.2.29, March 2024
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial, open sourcecommercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net, Python, REST, SQLCJava
Server operating systemsLinuxLinux
OS X
Solaris
Windows
z/OS
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeSchema-free and OWL/RDFS-schema supportyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
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.noyesno infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.ANSI-99 for query and DML statements, subset of DDLyesSQL-like query language, no joins
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC++
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes (compute grid and cache interceptors can be used instead)yesJava, Javascript
Triggersnoyes (cache interceptors and events)yesHooks
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryes (replicated cache)Ingres ReplicatorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes (compute grid and hadoop accelerator)nono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
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.yesyesno
User concepts infoAccess controlAccess rights for users and rolesRole-based access control
Security Hooks for custom implementations
fine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurable

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More resources
AnzoGraph DBGridGainIngresOrientDB
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