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DBMS > Milvus vs. MonetDB vs. Sphinx vs. SwayDB

System Properties Comparison Milvus vs. MonetDB vs. Sphinx vs. SwayDB

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonMonetDB  Xexclude from comparisonSphinx  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesA relational database management system that stores data in columnsOpen source search engine for searching in data from different sources, e.g. relational databasesAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelVector DBMSRelational DBMSSearch engineKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitemilvus.iowww.monetdb.orgsphinxsearch.comswaydb.simer.au
Technical documentationmilvus.io/­docs/­overview.mdwww.monetdb.org/­Documentationsphinxsearch.com/­docs
DeveloperMonetDB BVSphinx Technologies Inc.Simer Plaha
Initial release2019200420012018
Current release2.3.4, January 2024Dec2023 (11.49), December 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMozilla Public License 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenononono
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++, GoCC++Scala
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
FreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateVector, Numeric and Stringyesnono
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
Secondary indexesnoyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsSQL-like query language (SphinxQL)no
APIs and other access methodsRESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Proprietary protocol
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnoyes, in SQL, C, Rnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusnonenone
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
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlRole based access control and fine grained access rightsfine grained access rights according to SQL-standardnono
More information provided by the system vendor
MilvusMonetDBSphinxSwayDB
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
MilvusMonetDBSphinxSwayDB
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