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DBMS > AnzoGraph DB vs. Atos Standard Common Repository vs. Hive vs. MaxDB vs. Yaacomo

System Properties Comparison AnzoGraph DB vs. Atos Standard Common Repository vs. Hive vs. MaxDB vs. Yaacomo

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHive  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonYaacomo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is 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 networksdata warehouse software for querying and managing large distributed datasets, built on HadoopA robust and reliable RDBMS optimized to run all major SAP solutionsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score2.26
Rank#114  Overall
#55  Relational DBMS
Websitecambridgesemantics.com/­anzographatos.net/en/convergence-creators/portfolio/standard-common-repositoryhive.apache.orgmaxdb.sap.comyaacomo.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmcwiki.apache.org/­confluence/­display/­Hive/­Homemaxdb.sap.com/­documentation
DeveloperCambridge SemanticsAtos Convergence CreatorsApache Software Foundation infoinitially developed by FacebookSAP, acquired from Software AG (Adabas-D) in 1997Q2WEB GmbH
Initial release20182016201219842009
Current release2.3, January 202117033.1.3, April 20227.9.10.12, February 2024
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoApache Version 2commercial infoLimited community edition freecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsLinuxLinuxAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
Android
Linux
Windows
Data schemeSchema-free and OWL/RDFS-schema supportSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyes
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 indexesnoyesyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noSQL-like DML and DDL statementsyesyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
LDAPJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
WebDAV
JDBC
ODBC
Supported programming languagesC++
Java
Python
All languages with LDAP bindingsC++
Java
PHP
Python
.Net
C#
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes infouser defined functions and integration of map-reduceyes
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infocell divisionShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryesselectable replication factorSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationAccess rights for users, groups and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBAtos Standard Common RepositoryHiveMaxDB infoformerly named Adabas-DYaacomo
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