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DBMS > ArangoDB vs. Neo4j vs. Qdrant

System Properties Comparison ArangoDB vs. Neo4j vs. Qdrant

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonNeo4j  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Scalable, 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 matching
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Graph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.92
Rank#87  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score43.69
Rank#20  Overall
#1  Graph DBMS
Score1.93
Rank#121  Overall
#9  Vector DBMS
Websitearangodb.comneo4j.comgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.arangodb.comneo4j.com/­docsqdrant.tech/­documentation
DeveloperArangoDB Inc.Neo4j, Inc.Qdrant
Initial release201220072021
Current release3.11.5, November 20235.23, August 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoGPL version3, commercial licenses availableOpen 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.
Implementation languageC++Java, ScalaRust
Server operating systemsLinux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesNumbers, Strings, Geo, Boolean
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.no
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnonono
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
Bolt 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
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresJavaScriptyes infoUser defined Procedures and Functions
Triggersnoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0yes using Neo4j FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency, tunable consistency
Foreign keys infoReferential integrityyes inforelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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.yes
User concepts infoAccess controlyesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Key-based authentication
More information provided by the system vendor
ArangoDBNeo4jQdrant
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Neo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Neo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

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18 January 2025

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15 January 2025

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15 January 2025

Neo4j Positioned as a Visionary in the 2024 Gartner® Magic Quadrant™ for Cloud Database Management Systems
23 December 2024

This Week in Neo4j: FIKA AI, Hackathon, Knowledge Graph, Snowflake and more
21 December 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ArangoDBNeo4jQdrant
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
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12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

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2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

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Recent citations in the news

Graph Database Market Size is Projected to Reach USD 14.53
22 August 2024, GlobeNewswire

ArangoDB raises $10 million for NoSQL database management
14 March 2019, VentureBeat

ArangoDB 3.5 update improves multi-model database platform
22 August 2019, TechTarget

ArangoDB Boosts Performance and Usability Across Search, Graph, and Analytics with Release of ArangoDB 3.11
30 May 2023, Datanami

Here's the pitch deck a German software startup used to raise $10 million to move to San Francisco and take on Oracle
23 June 2019, Business Insider

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Qdrant review: A highly flexible option for vector search
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Build your First RAG with Qdrant
17 October 2024, packtpub.com

Vector database company Qdrant wants RAG to be more cost-effective
2 July 2024, VentureBeat

Qdrant Announces an Industry-First Hybrid Cloud Offering For Enterprise AI Applications
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