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DBMS > Neo4j vs. Qdrant vs. Stardog vs. VictoriaMetrics

System Properties Comparison Neo4j vs. Qdrant vs. Stardog vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonQdrant  Xexclude from comparisonStardog  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA high-performance vector database with neural network or semantic-based matchingEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelGraph DBMSVector DBMSGraph DBMS
RDF store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score44.47
Rank#23  Overall
#1  Graph DBMS
Score1.23
Rank#171  Overall
#6  Vector DBMS
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Score1.42
Rank#161  Overall
#14  Time Series DBMS
Websiteneo4j.comgithub.com/­qdrant/­qdrant
qdrant.tech
www.stardog.comvictoriametrics.com
Technical documentationneo4j.com/­docsqdrant.tech/­documentationdocs.stardog.comdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperNeo4j, Inc.QdrantStardog-UnionVictoriaMetrics
Initial release2007202120102018
Current release5.19, April 20247.3.0, May 2020v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache Version 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache Version 2.0
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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJava, ScalaRustJavaGo
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Linux
macOS
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-free and schema-optionalschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Booleanyes
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.nono infoImport/export of XML data possibleno
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyes infoKeywords, numberic ranges, geo, full-textyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnonoYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersyes infovia event handleryes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesyes using Neo4j FabricShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyCollection-level replicationMulti-source replication in HA-ClusterSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency, tunable consistencyImmediate Consistency in HA-ClusterEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.yesyesno
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Key-based authenticationAccess rights for users and roles
More information provided by the system vendor
Neo4jQdrantStardogVictoriaMetrics
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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