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DBMS > Hazelcast vs. HugeGraph vs. MonetDB vs. Tkrzw vs. Yaacomo

System Properties Comparison Hazelcast vs. HugeGraph vs. MonetDB vs. Tkrzw vs. Yaacomo

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonHugeGraph  Xexclude from comparisonMonetDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA widely adopted in-memory data gridA fast-speed and highly-scalable Graph DBMSA relational database management system that stores data in columnsA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value storeGraph DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitehazelcast.comgithub.com/­hugegraph
hugegraph.apache.org
www.monetdb.orgdbmx.net/­tkrzwyaacomo.com
Technical documentationhazelcast.org/­imdg/­docshugegraph.apache.org/­docswww.monetdb.org/­Documentation
DeveloperHazelcastBaiduMonetDB BVMikio HirabayashiQ2WEB GmbH
Initial release20082018200420202009
Current release5.3.6, November 20230.9Dec2023 (11.49), December 20230.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0Open Source infoMozilla Public License 2.0Open Source infoApache Version 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 languageJavaJavaCC++
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Android
Linux
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.yes infothe object must implement a serialization strategynonono
Secondary indexesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLSQL-like query languagenoyes infoSQL 2003 with some extensionsnoyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Groovy
Java
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesasynchronous Gremlin script jobsyes, in SQL, C, Rno
Triggersyes infoEventsnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding via remote tablesnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyes infodepending on used storage backend, e.g. Cassandra and HBasenone infoSource-replica replication available in experimental statusnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing specific database classesyes
User concepts infoAccess controlRole-based access controlUsers, roles and permissionsfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
HazelcastHugeGraphMonetDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYaacomo
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