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DBMS > Milvus vs. searchxml vs. Solr vs. VelocityDB

System Properties Comparison Milvus vs. searchxml vs. Solr vs. VelocityDB

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonsearchxml  Xexclude from comparisonSolr  Xexclude from comparisonVelocityDB  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 serverA widely used distributed, scalable search engine based on Apache LuceneA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelVector DBMSNative XML DBMS
Search engine
Search engineGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial 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
Score41.02
Rank#24  Overall
#3  Search engines
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitemilvus.iowww.searchxml.net/­category/­productssolr.apache.orgvelocitydb.com
Technical documentationmilvus.io/­docs/­overview.mdwww.searchxml.net/­support/­handoutssolr.apache.org/­resources.htmlvelocitydb.com/­UserGuide
Developerinformationpartners gmbhApache Software FoundationVelocityDB Inc
Initial release2019201520062011
Current release2.4.4, May 20241.09.6.1, May 20247.x
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2commercial
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++JavaC#
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
WindowsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Any that supports .NET
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateVector, Numeric and Stringyesyes infosupports customizable data types and automatic 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.noyesyesno
Secondary indexesnoyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnonoSolr Parallel SQL Interfaceno
APIs and other access methodsRESTful HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
Java API
RESTful HTTP/JSON API
.Net
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIs.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net
Server-side scripts infoStored proceduresnoyes infoon the application serverJava pluginsno
Triggersnonoyes infoUser configurable commands triggered on index changesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infosychronisation to multiple collectionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writeroptimistic lockingACID
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.yesnoyesyes
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 servicesyesBased on Windows Authentication
More information provided by the system vendor
MilvussearchxmlSolrVelocityDB
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
MilvussearchxmlSolrVelocityDB
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