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DBMS > Memgraph vs. Milvus vs. Solr vs. WakandaDB

System Properties Comparison Memgraph vs. Milvus vs. Solr vs. WakandaDB

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Editorial information provided by DB-Engines
NameMemgraph  Xexclude from comparisonMilvus  Xexclude from comparisonSolr  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAn open source graph database built for real-time streaming and compatible with Neo4jA DBMS designed for efficient storage of vector data and vector similarity searchesA widely used distributed, scalable search engine based on Apache LuceneWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelGraph DBMSVector DBMSSearch engineObject oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitememgraph.commilvus.iosolr.apache.orgwakanda.github.io
Technical documentationmemgraph.com/­docsmilvus.io/­docs/­overview.mdsolr.apache.org/­resources.htmlwakanda.github.io/­doc
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperMemgraph LtdApache Software FoundationWakanda SAS
Initial release2017201920062012
Current release2.3.4, January 20249.6.1, May 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoAGPLv3, extended commercial license available
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 and C++C++, GoJavaC++, JavaScript
Server operating systemsLinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeschema-free and schema-optionalyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyes 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.nonoyesno
Secondary indexesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoSolr Parallel SQL Interfaceno
APIs and other access methodsBolt protocol
Cypher query language
RESTful HTTP APIJava API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languages.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
JavaScript
Server-side scripts infoStored proceduresnoJava pluginsyes
Triggersnoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infodynamic graph partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTyesnone
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 systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infowith snapshot isolationnooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlUsers, roles and permissionsRole based access control and fine grained access rightsyesyes
More information provided by the system vendor
MemgraphMilvusSolrWakandaDB
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Highly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
RAG: 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 modelsYou can check out our pricing model and licenses on the company website .
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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MemgraphMilvusSolrWakandaDB
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