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DBMS > Hive vs. InfinityDB vs. JanusGraph vs. MonetDB

System Properties Comparison Hive vs. InfinityDB vs. JanusGraph vs. MonetDB

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonInfinityDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMonetDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA Java embedded Key-Value Store which extends the Java Map interfaceA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A relational database management system that stores data in columns
Primary database modelRelational DBMSKey-value storeGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitehive.apache.orgboilerbay.comjanusgraph.orgwww.monetdb.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeboilerbay.com/­infinitydb/­manualdocs.janusgraph.orgwww.monetdb.org/­Documentation
DeveloperApache Software Foundation infoinitially developed by FacebookBoiler Bay Inc.Linux Foundation; originally developed as Titan by AureliusMonetDB BV
Initial release2012200220172004
Current release3.1.3, April 20224.00.6.3, February 2023Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinux
OS X
Unix
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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.nono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
ODBC
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC++
Java
PHP
Python
JavaClojure
Java
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesyes, in SQL, C, R
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyesnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and rolesnoUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
HiveInfinityDBJanusGraph infosuccessor of TitanMonetDB
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