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DBMS > AgensGraph vs. ArangoDB vs. Neo4j

System Properties Comparison AgensGraph vs. ArangoDB vs. Neo4j

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonArangoDB  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Open source graph database
Primary database modelGraph DBMS
Relational DBMS
Document store
Graph DBMS
Key-value store
Search engine
Graph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#329  Overall
#31  Graph DBMS
#139  Relational DBMS
Score4.77
Rank#69  Overall
#10  Document stores
#3  Graph DBMS
#10  Key-value stores
#8  Search engines
Score51.04
Rank#20  Overall
#1  Graph DBMS
Websitebitnine.netwww.arangodb.comneo4j.com
Technical documentationbitnine.net/­documentationwww.arangodb.com/­docs/­stableneo4j.com/­docs
DeveloperBitnine Global Inc.ArangoDB Inc.Neo4j, Inc.
Initial release201620122007
Current release2.1, December 20183.7.9, March 20214.2.4 , March 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoGPL version3, commercial licenses available
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.
ArangoDB Oasis –The Managed Cloud Service of ArangoDB. Oasis provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
Implementation languageCC++Java, Scala
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemedepending on used data modelschema-free infoautomatically recognizes schema within a collectionschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashyes
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 indexesyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyesnono
APIs and other access methodsCypher Query Language
JDBC
AQL
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
Supported programming languagesC
Java
JavaScript
Python
C#
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
Server-side scripts infoStored proceduresyesJavaScriptyes infoUser defined Procedures and Functions
Triggersnonoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infosince version 2.0none
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with configurable replication factorCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be done with stored procedures in JavaScriptno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual 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
Foreign keys infoReferential integrityyesyes inforelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.no
User concepts infoAccess controlfine grained access rights according to SQL-standardyesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
AgensGraphArangoDBNeo4j
Specific characteristicsOne Engine. One Query Language. Multiple Data Models. ArangoDB is an open source...
» more
Neo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Neo4j database is the only transactional database that combines everything you need...
» 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 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsArangoDB is the leading native multi-model database with over 9000 stargazers on...
» more
Neo4j boasts the world's largest graph database ecosystem with more than a 15 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

C++ Memory Model: Migrating from X86 to ARM
15 February 2021

ArangoML Series: Multi-Model Collaboration
26 January 2021

State of the Art Preprocessing and Filtering with ArangoSearch
10 December 2020

ArangoML Series: Intro to NetworkX Adapter
17 November 2020

ArangoML Part 4: Detecting Covariate Shift in Datasets
5 November 2020

This Week in Neo4j – Neo4j & Django, Analyzing Genomes, GGCD, Change Data Capture,
10 April 2021

Graphs for Real-Time Transaction Processing: The 5-Minute Interview with Jorge Zaccaro
9 April 2021

Advantages of Neo4j Aura Enterprise: Innovative and Trusted
5 April 2021

This Week in Neo4j – Build a Knowledge Graph, GRANDstack Podcast App, Archimate Model,
3 April 2021

#GraphCast: Current Leverages Neo4j for a Modern Banking Approach
2 April 2021

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
3rd partiesGraphable delivers expert services for Neo4j and other Graph DBMS.
» more

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

More resources
AgensGraphArangoDBNeo4j
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

show all

Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

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

show all

Conferences and events

What's wrong with your application? - presented by Graphable.ai
Webinar, 6 April 2021 (finished)

Recent citations in the news

Bitnine Looks to Scale PostgreSQL with AGE
30 June 2020, Datanami

PostgreSQL Multi-Model Graph Extension Announced
13 July 2020, iProgrammer

Bitnine Releases AgensGraph 2.1, the Multi-model Graph Database Optimized for the Legacy Environment
29 January 2019, Business Wire

Exclusive Interview: Bitnine CEO Cheolsun Kang Announces the Release of AgensGraph v1.1, the Hybrid DBMS
20 April 2017, Business Wire

Graph DBMS Performance Comparison AgensGraph vs. Neo4j
29 June 2017, Business Wire

provided by Google News

Global Graph Database Market Impressive Growth 2021 | ArangoDB, Kompass (UK) Ltd, Sparsity Technologies, Objectivity Inc., Teradata, MongoDB, Inc and More – KSU | The Sentinel Newspaper
31 March 2021, KSU | The Sentinel Newspaper

NoSQL Databases Software Market 2021 Growth Analysis by Top Key Players: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase etc. – SoccerNurds
5 April 2021, SoccerNurds

Graph, machine learning, hype, and beyond: ArangoDB open source multi-model database releases version 3.7
27 August 2020, ZDNet

How to install the ArangoDB multimodal database on Ubuntu Server 20.04
15 December 2020, TechRepublic

NoSQL Databases Market is Booming Worldwide with RavenDB,RavenDB, Amazon DynamoDB
6 April 2021, The Courier

provided by Google News

MANTA Partners With Neo4j to Provide Customers With Enhanced Graph Technology for Data Pipeline Analysis
7 April 2021, Business Wire

HiPaaS announces OEM partnership with Neo4j to accelerate Healthcare EDI and Interoperability Solutions
24 March 2021, PR Web

The 7 Best Graph Databases to Consider for 2021
29 March 2021, Solutions Review

Database and DBaaS Market 2021 Business Scenario – Neo4j, Oracle, Rackspace, RDX, IBM, DataStax, CenturyLink, Redis Labs – The Courier
10 April 2021, The Courier

Graph Database Market Research: Latest Industry Statistics & Trends- Tibco Software, Neo4j, AWS, Microsoft, OrientDB Ltd, triAGENS GmbH(Arango DB), Cray, MarkLogic, Franz Inc(AllegroGraph), Bitnine Global – SoccerNurds
8 April 2021, SoccerNurds

provided by Google News

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