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DBMS > EsgynDB vs. Kinetica vs. MonetDB vs. OrientDB

System Properties Comparison EsgynDB vs. Kinetica vs. MonetDB vs. OrientDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonKinetica  Xexclude from comparisonMonetDB  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFully vectorized database across both GPUs and CPUsA relational database management system that stores data in columnsMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#288  Overall
#134  Relational DBMS
Score0.66
Rank#212  Overall
#103  Relational DBMS
Score1.81
Rank#131  Overall
#64  Relational DBMS
Score5.14
Rank#79  Overall
#14  Document stores
#5  Graph DBMS
#12  Key-value stores
Websitewww.esgyn.cnwww.kinetica.comwww.monetdb.orgorientdb.org
Technical documentationwww.kinetica.com/­docswww.monetdb.org/­Documentationwww.orientdb.com/­docs/­last/­index.html
DeveloperEsgynKineticaMonetDB BVOrientDB LTD; CallidusCloud; SAP
Initial release2015201220042010
Current release7.1, August 2021Jul2021-SP2, July 20213.1.9, February 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla Public License 2.0Open Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC, C++CJava
Server operating systemsLinuxLinuxFreeBSD
Linux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeyesyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infoSQL 2003 with some extensionsSQL-like query language, no joins
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC++
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functionsyes, in SQL, C, RJava, Javascript
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesHooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationnone infoSource-replica replication available in experimental statusMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesyesyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelfine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurable
More information provided by the system vendor
EsgynDBKineticaMonetDBOrientDB
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Column-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
Scalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Analytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Numascale , Spinque , SecurActive , CHS , NOZHUP
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more
Free and open-source software, Mozilla Public License 2.0 Commercial support available
» more

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More resources
EsgynDBKineticaMonetDBOrientDB
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