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DBMS > Dgraph vs. Hyprcubd vs. Ignite vs. Kinetica vs. MarkLogic

System Properties Comparison Dgraph vs. Hyprcubd vs. Ignite vs. Kinetica vs. MarkLogic

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonHyprcubd  Xexclude from comparisonIgnite  Xexclude from comparisonKinetica  Xexclude from comparisonMarkLogic  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionDistributed and scalable native Graph DBMSServerless Time Series DBMSApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Fully vectorized database across both GPUs and CPUsOperational and transactional Enterprise NoSQL database
Primary database modelGraph DBMSTime Series DBMSKey-value store
Relational DBMS
Relational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational 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
Websitedgraph.iohyprcubd.com (offline)ignite.apache.orgwww.kinetica.comwww.progress.com/­marklogic
Technical documentationdgraph.io/­docsapacheignite.readme.io/­docsdocs.kinetica.comwww.progress.com/­marklogic/­documentation
DeveloperDgraph Labs, Inc.Hyprcubd, Inc.Apache Software FoundationKineticaMarkLogic Corp.
Initial release2016201520122001
Current releaseApache Ignite 2.67.1, August 202111.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercialcommercial inforestricted free version is available
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 languageGoGoC++, Java, .NetC, C++C++
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeyesyesyesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesyesyes
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.nonoyesnoyes
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query languageANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsyes infoSQL92
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC (https)HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
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
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)user defined functionsyes infovia XQuery or JavaScript
Triggersnonoyes (cache interceptors and events)yes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes (replicated cache)Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)noyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID infocan act as a resource manager in an XA/JTA transaction
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.noyesyes infoGPU vRAM or System RAMyes, with Range Indexes
User concepts infoAccess controlno infoPlanned for future releasestoken accessSecurity Hooks for custom implementationsAccess rights for users and roles on table levelRole-based access control at the document and subdocument levels

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More resources
DgraphHyprcubdIgniteKineticaMarkLogic
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