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DBMS > Amazon DocumentDB vs. Cachelot.io vs. Milvus vs. SWC-DB vs. Yanza

System Properties Comparison Amazon DocumentDB vs. Cachelot.io vs. Milvus vs. SWC-DB vs. Yanza

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCachelot.io  Xexclude from comparisonMilvus  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceIn-memory caching systemA DBMS designed for efficient storage of vector data and vector similarity searchesA high performance, scalable Wide Column DBMSTime Series DBMS for IoT Applications
Primary database modelDocument storeKey-value storeVector DBMSWide column storeTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
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
Websiteaws.amazon.com/­documentdbcachelot.iomilvus.iogithub.com/­kashirin-alex/­swc-db
www.swcdb.org
yanza.com
Technical documentationaws.amazon.com/­documentdb/­resourcesmilvus.io/­docs/­overview.md
DeveloperAlex KashirinYanza
Initial release20192015201920202015
Current release2.3.4, January 20240.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoSimplified BSD LicenseOpen Source infoApache Version 2.0Open Source infoGPL V3commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnononono 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 systemshostedFreeBSD
Linux
OS X
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
LinuxWindows
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoVector, Numeric and Stringno
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 indexesyesnonono
SQL infoSupport of SQLnononoSQL-like query languageno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Memcached protocolRESTful HTTP APIProprietary protocol
Thrift
HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
C++any language that supports HTTP calls
Server-side scripts infoStored proceduresnonononono
Triggersnonononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and rolesnoRole based access control and fine grained access rightsno
More information provided by the system vendor
Amazon DocumentDBCachelot.ioMilvusSWC-DB infoSuper Wide Column DatabaseYanza
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
Amazon DocumentDBCachelot.ioMilvusSWC-DB infoSuper Wide Column DatabaseYanza
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