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DBMS > Cubrid vs. Graph Engine vs. Linter vs. Milvus vs. VictoriaMetrics

System Properties Comparison Cubrid vs. Graph Engine vs. Linter vs. Milvus vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonLinter  Xexclude from comparisonMilvus  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineRDBMS for high security requirementsA DBMS designed for efficient storage of vector data and vector similarity searchesA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSGraph DBMS
Key-value store
Relational DBMSVector DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.graphengine.iolinter.rumilvus.iovictoriametrics.com
Technical documentationcubrid.org/­manualswww.graphengine.io/­docs/­manualmilvus.io/­docs/­overview.mddocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperCUBRID Corporation, CUBRID FoundationMicrosoftrelex.ruVictoriaMetrics
Initial release20082010199020192018
Current release11.0, January 20212.3.4, January 2024v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicensecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC, C++, Java.NET and CC and C++C++, GoGo
Server operating systemsLinux
Windows
.NETAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesVector, Numeric and String
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.nonononono
Secondary indexesyesyesno
SQL infoSupport of SQLyesnoyesnono
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
RESTful HTTP APIADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP APIGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
F#
Visual Basic
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJava Stored Proceduresyesyes infoproprietary syntax with the possibility to convert from PL/SQLnono
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole based access control and fine grained access rights
More information provided by the system vendor
CubridGraph Engine infoformer name: TrinityLinterMilvusVictoriaMetrics
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
CubridGraph Engine infoformer name: TrinityLinterMilvusVictoriaMetrics
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