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DBMS > Milvus vs. SWC-DB vs. TDSQL for MySQL vs. Yanza

System Properties Comparison Milvus vs. SWC-DB vs. TDSQL for MySQL vs. Yanza

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesA high performance, scalable Wide Column DBMSA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.Time Series DBMS for IoT Applications
Primary database modelVector DBMSWide column storeRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websitemilvus.iogithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.tencentcloud.com/­products/­dcdbyanza.com
Technical documentationmilvus.io/­docs/­overview.mdwww.tencentcloud.com/­document/­product/­1042
DeveloperAlex KashirinTencentYanza
Initial release2019202020132015
Current release2.4.4, May 20240.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL V3commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonoyesno infobut mainly used as a service provided by Yanza
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++
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
LinuxhostedWindows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateVector, Numeric and Stringyesno
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.nononono
Secondary indexesnoyesno
SQL infoSupport of SQLnoSQL-like query languageyesno
APIs and other access methodsRESTful HTTP APIProprietary protocol
Thrift
JDBC
ODBC
HTTP API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C++C
C#
C++
Java
PHP
Python
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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.yesnono
User concepts infoAccess controlRole based access control and fine grained access rightsUsers with fine-grained authorization conceptno
More information provided by the system vendor
MilvusSWC-DB infoSuper Wide Column DatabaseTDSQL for MySQLYanza
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
MilvusSWC-DB infoSuper Wide Column DatabaseTDSQL for MySQLYanza
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