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DBMS > LMDB vs. Milvus vs. searchxml vs. Solr

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

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Editorial information provided by DB-Engines
NameLMDB  Xexclude from comparisonMilvus  Xexclude from comparisonsearchxml  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA high performant, light-weight, embedded key-value database libraryA 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 Lucene
Primary database modelKey-value storeVector DBMSNative XML DBMS
Search engine
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#125  Overall
#21  Key-value stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.symas.com/­symas-embedded-database-lmdbmilvus.iowww.searchxml.net/­category/­productssolr.apache.org
Technical documentationwww.lmdb.tech/­docmilvus.io/­docs/­overview.mdwww.searchxml.net/­support/­handoutssolr.apache.org/­resources.html
DeveloperSymasinformationpartners gmbhApache Software Foundation
Initial release2011201920152006
Current release0.9.32, January 20242.3.4, January 20241.09.6.0, April 2024
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2
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 languageCC++, GoC++Java
Server operating systemsLinux
Unix
Windows
Linux
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)
Data schemeschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateVector, Numeric and Stringyesyes infosupports customizable data types and automatic typing
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.nonoyesyes
Secondary indexesnonoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnononoSolr Parallel SQL Interface
APIs and other access methodsRESTful HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C++
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
Server-side scripts infoStored proceduresnonoyes infoon the application serverJava plugins
Triggersnononoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infosychronisation to multiple collectionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnomultiple readers, single writeroptimistic locking
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.yesyesnoyes
User concepts infoAccess controlnoRole based access control and fine grained access rightsDomain, group and role-based access control at the document level and for application servicesyes
More information provided by the system vendor
LMDBMilvussearchxmlSolr
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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LMDBMilvussearchxmlSolr
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