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DBMS > Milvus vs. Rockset vs. searchxml

System Properties Comparison Milvus vs. Rockset vs. searchxml

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonRockset  Xexclude from comparisonsearchxml  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 server
Primary database modelVector DBMSDocument storeNative XML DBMS
Search engine
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#144  Overall
#5  Vector DBMS
Score0.84
Rank#209  Overall
#35  Document stores
Score0.01
Rank#386  Overall
#7  Native XML DBMS
#24  Search engines
Websitemilvus.iorockset.comwww.searchxml.net/­category/­products
Technical documentationmilvus.io/­docs/­overview.mddocs.rockset.comwww.searchxml.net/­support/­handouts
DeveloperRocksetinformationpartners gmbh
Initial release201920192015
Current release2.3.4, January 20241.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
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++
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hostedWindows
Data schemeschema-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 supportedyes
Secondary indexesnoall fields are automatically indexedyes
SQL infoSupport of SQLnoRead-only SQL queries, including JOINsno
APIs and other access methodsRESTful HTTP APIHTTP RESTRESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnonoyes infoon the application server
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded 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 datanonomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
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
MilvusRocksetsearchxml
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
MilvusRocksetsearchxml
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

Zilliz Unveils Game-Changing Features for Vector Search
22 March 2024, Datanami

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20 March 2024, GlobeNewswire

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Rockset lands $44M to power real-time search and analytics apps
29 August 2023, TechCrunch

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