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

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

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonRockset  Xexclude from comparisonsearchxml  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesA scalable, reliable search and analytics service in the cloud, built on RocksDBDBMS for structured and unstructured content wrapped with an application serverA high performance, scalable Wide Column DBMS
Primary database modelVector DBMSDocument storeNative XML DBMS
Search engine
Wide column store
Secondary database modelsRelational DBMS
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitemilvus.iorockset.comwww.searchxml.net/­category/­productsgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationmilvus.io/­docs/­overview.mddocs.rockset.comwww.searchxml.net/­support/­handouts
DeveloperRocksetinformationpartners gmbhAlex Kashirin
Initial release2019201920152020
Current release2.3.4, January 20241.00.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
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++C++
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hostedWindowsLinux
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateVector, Numeric and Stringdynamic typingyes
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.nono infoingestion from XML files supportedyesno
Secondary indexesnoall fields are automatically indexedyes
SQL infoSupport of SQLnoRead-only SQL queries, including JOINsnoSQL-like query language
APIs and other access methodsRESTful HTTP APIHTTP RESTRESTful HTTP API
WebDAV
XQuery
XSLT
Proprietary protocol
Thrift
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIsC++
Server-side scripts infoStored proceduresnonoyes infoon the application serverno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infosychronisation to multiple collections
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
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonomultiple readers, single writer
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 rightsAccess rights for users and organizations can be defined via Rockset consoleDomain, group and role-based access control at the document level and for application services
More information provided by the system vendor
MilvusRocksetsearchxmlSWC-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
MilvusRocksetsearchxmlSWC-DB infoSuper Wide Column Database
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