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DBMS > AnzoGraph DB vs. Atos Standard Common Repository vs. Datomic vs. openGauss

System Properties Comparison AnzoGraph DB vs. Atos Standard Common Repository vs. Datomic vs. openGauss

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatomic  Xexclude from comparisonopenGauss  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score1.11
Rank#175  Overall
#79  Relational DBMS
Websitecambridgesemantics.com/­anzographatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datomic.comgitee.com/­opengauss
opengauss.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.datomic.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperCambridge SemanticsAtos Convergence CreatorsCognitectHuawei and openGauss community
Initial release2018201620122019
Current release2.3, January 202117031.0.7180, July 20243.0, March 2022
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercial infolimited edition freeOpen Source
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 languageJavaJava, ClojureC, C++, Java
Server operating systemsLinuxLinuxAll OS with a Java VMLinux
Data schemeSchema-free and OWL/RDFS-schema supportSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateoptionalyesyes
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.noyesnono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nonoANSI SQL 2011
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
LDAPRESTful HTTP APIJDBC
ODBC
Supported programming languagesC++
Java
Python
All languages with LDAP bindingsClojure
Java
C
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes infoTransaction Functionsyes
TriggersnoyesBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infocell divisionnone infoBut extensive use of caching in the application peershorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryesnone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes inforecommended only for testing and developmentno
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationnoAccess rights for users, groups and roles according to SQL-standard

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More resources
AnzoGraph DBAtos Standard Common RepositoryDatomicopenGauss
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