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DBMS > Hazelcast vs. HugeGraph vs. Hyprcubd vs. Ingres vs. MarkLogic

System Properties Comparison Hazelcast vs. HugeGraph vs. Hyprcubd vs. Ingres vs. MarkLogic

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonHugeGraph  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonMarkLogic  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA widely adopted in-memory data gridA fast-speed and highly-scalable Graph DBMSServerless Time Series DBMSWell established RDBMSOperational and transactional Enterprise NoSQL database
Primary database modelKey-value storeGraph DBMSTime Series DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Websitehazelcast.comgithub.com/­hugegraph
hugegraph.apache.org
hyprcubd.com (offline)www.actian.com/­databases/­ingreswww.progress.com/­marklogic
Technical documentationhazelcast.org/­imdg/­docshugegraph.apache.org/­docsdocs.actian.com/­ingreswww.progress.com/­marklogic/­documentation
DeveloperHazelcastBaiduHyprcubd, Inc.Actian CorporationMarkLogic Corp.
Initial release200820181974 infooriginally developed at University Berkely in early 1970s2001
Current release5.3.6, November 20230.911.2, May 202211.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0commercialcommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGoCC++
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringyesyes
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 infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesyesyes infoalso supports composite index and range indexnoyesyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageyesyes infoSQL92
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
gRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
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
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Groovy
Java
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesasynchronous Gremlin script jobsnoyesyes infovia XQuery or JavaScript
Triggersyes infoEventsnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyes infodepending on used storage backend, e.g. Cassandra and HBaseIngres Replicatoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparknonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDnoACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes infoMVCCyes
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.yesyesnonoyes, with Range Indexes
User concepts infoAccess controlRole-based access controlUsers, roles and permissionstoken accessfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levels

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More resources
HazelcastHugeGraphHyprcubdIngresMarkLogic
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