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DBMS > HugeGraph vs. Hyprcubd vs. Kinetica vs. MarkLogic vs. VictoriaMetrics

System Properties Comparison HugeGraph vs. Hyprcubd vs. Kinetica vs. MarkLogic vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonHyprcubd  Xexclude from comparisonKinetica  Xexclude from comparisonMarkLogic  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA fast-speed and highly-scalable Graph DBMSServerless Time Series DBMSFully vectorized database across both GPUs and CPUsOperational and transactional Enterprise NoSQL databaseA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelGraph DBMSTime Series DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
hyprcubd.com (offline)www.kinetica.comwww.marklogic.comvictoriametrics.com
Technical documentationhugegraph.apache.org/­docsdocs.kinetica.comdocs.marklogic.comdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperBaiduHyprcubd, Inc.KineticaMarkLogic Corp.VictoriaMetrics
Initial release2018201220012018
Current release0.97.1, August 202111.0, December 2022v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial inforestricted free version is availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC, C++C++Go
Server operating systemsLinux
macOS
Unix
hostedLinuxLinux
OS X
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesyesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyes 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.nononoyesno
Secondary indexesyes infoalso supports composite index and range indexnoyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statementsyes infoSQL92no
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
gRPC (https)JDBC
ODBC
RESTful HTTP API
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
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesGroovy
Java
Python
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnouser defined functionsyes infovia XQuery or JavaScriptno
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationyesSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoedges in graphnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
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.yesnoyes infoGPU vRAM or System RAMyes, with Range Indexesno
User concepts infoAccess controlUsers, roles and permissionstoken accessAccess rights for users and roles on table levelRole-based access control at the document and subdocument levels

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More resources
HugeGraphHyprcubdKineticaMarkLogicVictoriaMetrics
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