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DBMS > AnzoGraph DB vs. Cubrid vs. DolphinDB vs. Kdb

System Properties Comparison AnzoGraph DB vs. Cubrid vs. DolphinDB vs. Kdb

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonCubrid  Xexclude from comparisonDolphinDB  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.High performance Time Series DBMS
Primary database modelGraph DBMS
RDF store
Relational DBMSTime Series DBMS
Vector DBMS
Time Series DBMS
Vector DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score0.97
Rank#189  Overall
#86  Relational DBMS
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Websitecambridgesemantics.com/­anzographcubrid.com (korean)
cubrid.org (english)
www.dolphindb.comkx.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmcubrid.org/­manualsdocs.dolphindb.cn/­en/­help200/­index.htmlcode.kx.com
DeveloperCambridge SemanticsCUBRID Corporation, CUBRID FoundationDolphinDB, IncKx Systems, a division of First Derivatives plc
Initial release2018200820182000 infokdb was released 2000, kdb+ in 2003
Current release2.3, January 202111.0, January 2021v2.00.4, January 20223.6, May 2018
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2.0commercial infofree community version availablecommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC++q
Server operating systemsLinuxLinux
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nononoyes
Secondary indexesnoyesyesyes infotable attribute 'grouped'
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesSQL-like query languageSQL-like query language (q)
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
OLE DB
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesC++
Java
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored Proceduresyesuser defined functions
Triggersnoyesnoyes infowith views
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnonehorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyesno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesno
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.yesnoyesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAdministrators, Users, Groupsrights management via user accounts
More information provided by the system vendor
AnzoGraph DBCubridDolphinDBKdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
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Licensing and pricing modelsupon request
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More resources
AnzoGraph DBCubridDolphinDBKdb
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