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DBMS > AnzoGraph DB vs. PostgreSQL vs. Trafodion vs. XTDB

System Properties Comparison AnzoGraph DB vs. PostgreSQL vs. Trafodion vs. XTDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonTrafodion  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded 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 virtualizationWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLTransactional SQL-on-Hadoop DBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelGraph DBMS
RDF store
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMSDocument store
Secondary database modelsDocument 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
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitecambridgesemantics.com/­anzographwww.postgresql.orgtrafodion.apache.orggithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.postgresql.org/­docstrafodion.apache.org/­documentation.htmlwww.xtdb.com/­docs
DeveloperCambridge SemanticsPostgreSQL Global Development Group infowww.postgresql.org/­developerApache Software Foundation, originally developed by HPJuxt Ltd.
Initial release20181989 info1989: Postgres, 1996: PostgreSQL20142019
Current release2.3, January 202116.3, May 20242.3.0, February 20191.19, September 2021
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoBSDOpen Source infoApache 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
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Implementation languageCC++, JavaClojure
Server operating systemsLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeSchema-free and OWL/RDFS-schema supportyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, extensible-data-notation format
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.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infostandard with numerous extensionsyeslimited SQL, making use of Apache Calcite
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesC++
Java
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
All languages supporting JDBC/ODBC/ADO.NetClojure
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Java Stored Proceduresno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingpartitioning by range, list and (since PostgreSQL 11) by hashShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replication infoother methods possible by using 3rd party extensionsyes, via HBaseyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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AnzoGraph DBPostgreSQLTrafodionXTDB infoformerly named Crux
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