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DBMS > BigObject vs. JanusGraph vs. MarkLogic vs. MonetDB vs. Yaacomo

System Properties Comparison BigObject vs. JanusGraph vs. MarkLogic vs. MonetDB vs. Yaacomo

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMarkLogic  Xexclude from comparisonMonetDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAnalytic DBMS for real-time computations and queriesA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Operational and transactional Enterprise NoSQL databaseA relational database management system that stores data in columnsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedGraph DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitebigobject.iojanusgraph.orgwww.marklogic.comwww.monetdb.orgyaacomo.com
Technical documentationdocs.bigobject.iodocs.janusgraph.orgdocs.marklogic.comwww.monetdb.org/­Documentation
DeveloperBigObject, Inc.Linux Foundation; originally developed as Titan by AureliusMarkLogic Corp.MonetDB BVQ2WEB GmbH
Initial release20152017200120042009
Current release0.6.3, February 202311.0, December 2022Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoMozilla Public License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Unix
Windows
Linux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Android
Linux
Windows
Data schemeyesyesschema-free infoSchema can be enforcedyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infoSQL92yes infoSQL 2003 with some extensionsyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
Supported programming languagesClojure
Java
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresLuayesyes infovia XQuery or JavaScriptyes, in SQL, C, R
Triggersnoyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingSharding via remote tableshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesnone infoSource-replica replication available in experimental statusSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engineyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyes infoRelationships in graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infocan act as a resource manager in an XA/JTA transactionACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexesyes
User concepts infoAccess controlnoUser authentification and security via Rexster Graph ServerRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BigObjectJanusGraph infosuccessor of TitanMarkLogicMonetDBYaacomo
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