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DBMS > Milvus vs. searchxml vs. SWC-DB vs. VictoriaMetrics

System Properties Comparison Milvus vs. searchxml vs. SWC-DB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonsearchxml  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesDBMS for structured and unstructured content wrapped with an application serverA high performance, scalable Wide Column DBMSA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelVector DBMSNative XML DBMS
Search engine
Wide column storeTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score0.01
Rank#376  Overall
#13  Wide column stores
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitemilvus.iowww.searchxml.net/­category/­productsgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
victoriametrics.com
Technical documentationmilvus.io/­docs/­overview.mdwww.searchxml.net/­support/­handoutsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
Developerinformationpartners gmbhAlex KashirinVictoriaMetrics
Initial release2019201520202018
Current release2.3.4, January 20241.00.5, April 2021v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL V3Open Source infoApache Version 2.0
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++, GoC++C++Go
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
WindowsLinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateVector, Numeric and Stringyes
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.noyesnono
Secondary indexesnoyes
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsRESTful HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
Proprietary protocol
Thrift
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIsC++
Server-side scripts infoStored proceduresnoyes infoon the application servernono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infosychronisation to multiple collectionsSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writerno
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.yesnonono
User concepts infoAccess controlRole based access control and fine grained access rightsDomain, group and role-based access control at the document level and for application services
More information provided by the system vendor
MilvussearchxmlSWC-DB infoSuper Wide Column DatabaseVictoriaMetrics
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...
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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
MilvussearchxmlSWC-DB infoSuper Wide Column DatabaseVictoriaMetrics
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