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DBMS > BigObject vs. JanusGraph vs. Kyligence Enterprise vs. MonetDB vs. Yaacomo

System Properties Comparison BigObject vs. JanusGraph vs. Kyligence Enterprise vs. MonetDB vs. Yaacomo

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKyligence Enterprise  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 2017A distributed analytics engine for big data, built on top of Apache KylinA 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 DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#342  Overall
#150  Relational DBMS
Score1.91
Rank#135  Overall
#12  Graph DBMS
Score0.39
Rank#276  Overall
#125  Relational DBMS
Score1.72
Rank#148  Overall
#68  Relational DBMS
Websitebigobject.iojanusgraph.orgkyligence.io/­kyligence-enterprisewww.monetdb.orgyaacomo.com
Technical documentationdocs.bigobject.iodocs.janusgraph.orgwww.monetdb.org/­Documentation
DeveloperBigObject, Inc.Linux Foundation; originally developed as Titan by AureliusKyligence, Inc.MonetDB BVQ2WEB GmbH
Initial release20152017201620042009
Current release0.6.3, February 2023Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0commercialOpen Source infoMozilla Public License 2.0commercial
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 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
LinuxFreeBSD
Linux
OS X
Solaris
Windows
Android
Linux
Windows
Data schemeyesyesyesyesyes
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.nononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoANSI SQL for queries (using Apache Calcite)yes infoSQL 2003 with some extensionsyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
Supported programming languagesClojure
Java
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresLuayesyes, in SQL, C, R
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding via remote tableshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone infoSource-replica replication available in experimental statusSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engineyesnono
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 graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.yesnoyes
User concepts infoAccess controlnoUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BigObjectJanusGraph infosuccessor of TitanKyligence EnterpriseMonetDBYaacomo
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