DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > ArangoDB vs. HugeGraph vs. Neo4j vs. Netezza

System Properties Comparison ArangoDB vs. HugeGraph vs. Neo4j vs. Netezza

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonNeo4j  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.A fast-speed and highly-scalable Graph DBMSScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsData warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Graph DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#88  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitearangodb.comgithub.com/­hugegraph
hugegraph.apache.org
neo4j.comwww.ibm.com/­products/­netezza
Technical documentationdocs.arangodb.comhugegraph.apache.org/­docsneo4j.com/­docs
Social network pagesLinkedInTwitterYouTubeFacebookInstagram
DeveloperArangoDB Inc.BaiduNeo4j, Inc.IBM
Initial release2012201820072000
Current release3.11.5, November 20230.95.20, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoApache Version 2.0Open Source infoGPL version3, commercial licenses availablecommercial
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.
ArangoDB Cloud –The Managed Cloud Service of ArangoDB. 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.Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageC++JavaJava, Scala
Server operating systemsLinux
OS X
Windows
Linux
macOS
Unix
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux infoincluded in appliance
Data schemeschema-free infoautomatically recognizes schema within a collectionyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyesyes
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 infoalso supports composite index and range indexyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
Java API
RESTful HTTP API
TinkerPop Gremlin
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
JDBC
ODBC
OLE DB
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
Groovy
Java
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresJavaScriptasynchronous Gremlin script jobsyes infoUser defined Procedures and Functionsyes
Triggersnonoyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0yes infodepending on used storage backend, e.g. Cassandra and HBaseyes using Neo4j FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBaseCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptvia hugegraph-sparknoyes
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)
Eventual ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyes inforelationships in graphsyes infoedges in graphyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.yes
User concepts infoAccess controlyesUsers, roles and permissionsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Users with fine-grained authorization concept
More information provided by the system vendor
ArangoDBHugeGraphNeo4jNetezza infoAlso called PureData System for Analytics by IBM
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

This Week in Neo4j: Podcast, Testing, Knowledge Graph, GenAI and more
8 June 2024

Neo4j and Snowflake Bring Graph Data Science Into the AI Data Cloud
4 June 2024

RDF vs. Property Graphs: Choosing the Right Approach for Implementing a Knowledge Graph
4 June 2024

This Week in Neo4j: Importing Data, NODES, GenAI, Going Meta and more
1 June 2024

openCypher Will Pave the Road to GQL for Cypher Implementers
22 May 2024

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

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

More resources
ArangoDBHugeGraphNeo4jNetezza infoAlso called PureData System for Analytics by IBM
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

Recent citations in the news

ArangoGraphML: Simplifying the Power of Graph Machine Learning
11 October 2023, Datanami

How to Build Knowledge Graph Enhanced Chatbot with ChatGPT and ArangoDB
30 June 2023, DataDrivenInvestor

ArangoDB brings yet more money into graph database market with $27.8M round
6 October 2021, SiliconANGLE News

ArangoDB expands scope of graph database platform
6 October 2022, TechTarget

Open source graph database company ArangoDB raises $27.8M
6 October 2021, VentureBeat

provided by Google News

POC exploit code published for 9.8-rated Apache HugeGraph RCE flaw
7 June 2024, The Register

AI, Lockbit, Veeam, Club Penguin, Kali, Commando Cat, HugeGraph, Aaran Leyland… – SWN #391
7 June 2024, SC Media

PoC Exploit Released for High Severity Apache HugeGraph RCE flaw
7 June 2024, CybersecurityNews

Critical Apache HugeGraph Flaw Let Attackers Execute Remote Code
23 April 2024, GBHackers

Microsoft's Recall criticized for security shortcomings. Cyberespionage in Ukraine.
7 June 2024, The CyberWire

provided by Google News

Neo4j graph analytics integrated with Snowflake's AI cloud – Blocks and Files
7 June 2024, Blocks and Files

Neo4j integrates dozens of graph analytics functions with data in Snowflake
4 June 2024, SiliconANGLE News

Neo4j & Snowflake Collaborate for AI Insights & Analytics
6 June 2024, Martechcube

Neo4j Announces Collaboration with Microsoft to Advance GenAI and Data Solutions USA - English - India - English
26 March 2024, PR Newswire

Neo4j Partners with Snowflake for Advanced AI Insights and Predictive Analytics
4 June 2024, EnterpriseTalk

provided by Google News

Roundup: Telehouse, Cloudera, Netezza, EMC
31 May 2024, Data Center Knowledge

IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, ibm.com

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime | Amazon Web Services
21 August 2019, AWS Blog

Netezza Performance Server
12 August 2020, ibm.com

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here