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DBMS > Milvus vs. searchxml vs. SpaceTime vs. SwayDB

System Properties Comparison Milvus vs. searchxml vs. SpaceTime vs. SwayDB

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonsearchxml  Xexclude from comparisonSpaceTime  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesDBMS for structured and unstructured content wrapped with an application serverSpaceTime is a spatio-temporal DBMS with a focus on performance.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelVector DBMSNative XML DBMS
Search engine
Spatial DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitemilvus.iowww.searchxml.net/­category/­productswww.mireo.com/­spacetimeswaydb.simer.au
Technical documentationmilvus.io/­docs/­overview.mdwww.searchxml.net/­support/­handouts
Developerinformationpartners gmbhMireoSimer Plaha
Initial release2019201520202018
Current release2.4.4, May 20241.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen 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++, GoC++C++Scala
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
WindowsLinux
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateVector, Numeric and Stringyesyesno
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.noyesnono
Secondary indexesnoyesnono
SQL infoSupport of SQLnonoA subset of ANSI SQL is implementedno
APIs and other access methodsRESTful HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
RESTful HTTP API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIsC#
C++
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnoyes infoon the application servernono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneFixed-grid hypercubesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infosychronisation to multiple collectionsReal-time block device replication (DRBD)none
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writernoAtomic execution of operations
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.yesnonoyes
User concepts infoAccess controlRole based access control and fine grained access rightsDomain, group and role-based access control at the document level and for application servicesyesno
More information provided by the system vendor
MilvussearchxmlSpaceTimeSwayDB
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
MilvussearchxmlSpaceTimeSwayDB
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

How NVIDIA GPU Acceleration Supercharged Milvus Vector Database
26 March 2024, The New Stack

AI-Powered Search Engine With Milvus Vector Database on Vultr
31 January 2024, SitePoint

Milvus 2.4 Unveils Game-Changing Features for Enhanced Vector Search
20 March 2024, GlobeNewswire

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

IBM watsonx.data’s integrated vector database: unify, prepare, and deliver your data for AI
9 April 2024, IBM

provided by Google News



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