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

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

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonMilvus  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.
DescriptionIn-memory caching systemA 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 modelKey-value storeVector 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
Score0.00
Rank#383  Overall
#60  Key-value stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitecachelot.iomilvus.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 release20152019202020132015
Current release2.3.4, January 20240.5, April 2021
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoApache Version 2.0Open Source infoGPL V3commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononoyesno 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++C++, GoC++
Server operating systemsFreeBSD
Linux
OS X
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
LinuxhostedWindows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoVector, 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.nonononono
Secondary indexesnonoyesno
SQL infoSupport of SQLnonoSQL-like query languageyesno
APIs and other access methodsMemcached protocolRESTful HTTP APIProprietary protocol
Thrift
JDBC
ODBC
HTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
C++C
C#
C++
Java
PHP
Python
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresnononoyesno
Triggersnononoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentnoyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlnoRole based access control and fine grained access rightsUsers with fine-grained authorization conceptno
More information provided by the system vendor
Cachelot.ioMilvusSWC-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
Cachelot.ioMilvusSWC-DB infoSuper Wide Column DatabaseTDSQL for MySQLYanza
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