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DBMS > Amazon Neptune vs. Milvus vs. Neo4j vs. searchxml

System Properties Comparison Amazon Neptune vs. Milvus vs. Neo4j vs. searchxml

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonMilvus  Xexclude from comparisonNeo4j  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA DBMS designed for efficient storage of vector data and vector similarity searchesScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsDBMS for structured and unstructured content wrapped with an application server
Primary database modelGraph DBMS
RDF store
Vector DBMSGraph DBMSNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#111  Overall
#9  Graph DBMS
#5  RDF stores
Score2.92
Rank#87  Overall
#7  Vector DBMS
Score47.91
Rank#20  Overall
#1  Graph DBMS
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Websiteaws.amazon.com/­neptunemilvus.ioneo4j.comwww.searchxml.net/­category/­products
Technical documentationaws.amazon.com/­neptune/­developer-resourcesmilvus.io/­docs/­overview.mdneo4j.com/­docswww.searchxml.net/­support/­handouts
DeveloperAmazonNeo4j, Inc.informationpartners gmbh
Initial release2017201920072015
Current release2.4.4, May 20245.23, August 20241.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL version3, commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, GoJava, ScalaC++
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Windows
Data schemeschema-freeschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyesyes
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.nonoyes
Secondary indexesnonoyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLnononono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnonoyes infoUser defined Procedures and Functionsyes infoon the application server
Triggersnonoyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes using Neo4j Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role based access control and fine grained access rightsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Domain, group and role-based access control at the document level and for application services
More information provided by the system vendor
Amazon NeptuneMilvusNeo4jsearchxml
News

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10 May 2025

Aura Graph Analytics: A Technical Deep Dive
7 May 2025

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