DB-EnginesEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Apache Solr vs. LMDB vs. Milvus

System Properties Comparison Apache Solr vs. LMDB vs. Milvus

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Solr  Xexclude from comparisonLMDB  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionA widely used distributed, scalable search engine based on Apache LuceneA high performant, light-weight, embedded key-value database libraryA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelSearch engineKey-value storeVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score32.98
Rank#24  Overall
#3  Search engines
Score1.92
Rank#121  Overall
#20  Key-value stores
Score3.02
Rank#90  Overall
#5  Vector DBMS
Websitesolr.apache.orgwww.symas.com/­symas-embedded-database-lmdbmilvus.io
Technical documentationsolr.apache.org/­resources.htmlwww.lmdb.tech/­docmilvus.io/­docs/­overview.md
DeveloperApache Software FoundationSymas
Initial release200620112019
Current release9.6.1, May 20240.9.32, January 20242.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
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 languageJavaCC++, Go
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Unix
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingVector, Numeric and String
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.yesnono
Secondary indexesyes infoAll search fields are automatically indexednono
SQL infoSupport of SQLSolr Parallel SQL Interfacenono
APIs and other access methodsJava API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.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
Server-side scripts infoStored proceduresJava pluginsnono
Triggersyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDno
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.yesyesyes
User concepts infoAccess controlyesnoRole based access control and fine grained access rights
More information provided by the system vendor
Apache SolrLMDBMilvus
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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Apache SolrLMDBMilvus
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

show all

Recent citations in the news

Migrate from Apache Solr to OpenSearch
18 July 2024, AWS Blog

When the Price of (SOLR) Talks, People Listen
28 October 2024, Stock Traders Daily

SOLR-led walkout at Sargent Hall demands better conditions, adequate pay for Compass workers
27 February 2024, Daily Northwestern

Sputtered NiO Interlayer for Improved Self-Assembled Monolayer Coverage and Pin-Hole Free Perovskite Coating for Scalable Near-Infrared-Transparent Perovskite and 4-Terminal All-Thin-Film Tandem Modules
17 April 2024, Wiley Online Library

Threat Actor IntelBroker Allegedly Claims Leak of Deloitte Internal Communications
21 September 2024, CybersecurityNews

provided by Google News

The Lightning Memory-mapped Database
2 March 2016, InfoQ.com

Akamai launches managed database service
25 April 2022, Blocks & Files

Introducing Quicksilver: Configuration Distribution at Internet Scale
30 March 2020, The Cloudflare Blog

Automating SAP S/4HANA Migration with IT-Conductor, BGP Managed Services, and AWS | Amazon Web Services
22 August 2023, AWS Blog

The Tom Brady Data Biography
8 September 2023, StatsBomb

provided by Google 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

10 top vector database options for similarity searches
8 August 2024, TechTarget

Milvus in 2023: Open Source Vector Database Year in Review
19 January 2024, The New Stack

RAG Evaluation Using Ragas. Best Practices RAG with Milvus vector… | by Christy Bergman
21 March 2024, Towards Data Science

provided by Google News



Share this page

Featured Products

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here