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DBMS > AnzoGraph DB vs. BigObject vs. Realm vs. TimesTen vs. Trafodion

System Properties Comparison AnzoGraph DB vs. BigObject vs. Realm vs. TimesTen vs. Trafodion

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonBigObject  Xexclude from comparisonRealm  Xexclude from comparisonTimesTen  Xexclude from comparisonTrafodion  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 virtualizationAnalytic DBMS for real-time computations and queriesA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataIn-Memory RDBMS compatible to OracleTransactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMS
RDF store
Relational DBMS infoa hierachical model (tree) can be imposedDocument storeRelational 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
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitecambridgesemantics.com/­anzographbigobject.iorealm.iowww.oracle.com/­database/­technologies/­related/­timesten.htmltrafodion.apache.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.bigobject.iorealm.io/­docsdocs.oracle.com/­database/­timesten-18.1trafodion.apache.org/­documentation.html
DeveloperCambridge SemanticsBigObject, Inc.Realm, acquired by MongoDB in May 2019Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Apache Software Foundation, originally developed by HP
Initial release20182015201419982014
Current release2.3, January 202111 Release 2 (11.2.2.8.0)2.3.0, February 2019
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infofree community edition availableOpen SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Android
Backend: server-less
iOS
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonononono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like DML and DDL statementsnoyesyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
fluentd
ODBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C++
Java
PL/SQL
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesLuano inforuns within the applications so server-side scripts are unnecessaryPL/SQLJava Stored Procedures
Triggersnonoyes infoChange Listenersnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnonenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusternonenoneMulti-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusternoneImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyes infoautomatically between fact table and dimension tablesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoIn-Memory realmyesno
User concepts infoAccess controlAccess rights for users and rolesnoyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBBigObjectRealmTimesTenTrafodion
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