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DBMS > IBM Cloudant vs. Milvus vs. Rockset vs. SWC-DB

System Properties Comparison IBM Cloudant vs. Milvus vs. Rockset vs. SWC-DB

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Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonMilvus  Xexclude from comparisonRockset  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBA DBMS designed for efficient storage of vector data and vector similarity searchesA scalable, reliable search and analytics service in the cloud, built on RocksDBA high performance, scalable Wide Column DBMS
Primary database modelDocument storeVector DBMSDocument storeWide column store
Secondary database modelsRelational DBMS
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#106  Overall
#20  Document stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.ibm.com/­products/­cloudantmilvus.iorockset.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationcloud.ibm.com/­docs/­Cloudantmilvus.io/­docs/­overview.mddocs.rockset.com
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014RocksetAlex Kashirin
Initial release2010201920192020
Current release2.3.4, January 20240.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
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 languageErlangC++, GoC++C++
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hostedLinux
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoVector, Numeric and Stringdynamic typing
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.nonono infoingestion from XML files supportedno
Secondary indexesyesnoall fields are automatically indexed
SQL infoSupport of SQLnonoRead-only SQL queries, including JOINsSQL-like query language
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP APIHTTP RESTProprietary protocol
Thrift
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
C++
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possiblenono
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyes
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.noyesno
User concepts infoAccess controlAccess rights for users can be defined per databaseRole based access control and fine grained access rightsAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
IBM CloudantMilvusRocksetSWC-DB infoSuper Wide Column Database
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
IBM CloudantMilvusRocksetSWC-DB infoSuper Wide Column Database
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