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DBMS > ArcadeDB vs. Dgraph vs. HugeGraph vs. Neo4j

System Properties Comparison ArcadeDB vs. Dgraph vs. HugeGraph vs. Neo4j

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonDgraph  Xexclude from comparisonHugeGraph  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenDistributed and scalable native Graph DBMSA 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 offerings
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Graph DBMSGraph DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#355  Overall
#48  Document stores
#37  Graph DBMS
#52  Key-value stores
#34  Time Series DBMS
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score44.47
Rank#23  Overall
#1  Graph DBMS
Websitearcadedb.comdgraph.iogithub.com/­hugegraph
hugegraph.apache.org
neo4j.com
Technical documentationdocs.arcadedb.comdgraph.io/­docshugegraph.apache.org/­docsneo4j.com/­docs
DeveloperArcade DataDgraph Labs, Inc.BaiduNeo4j, Inc.
Initial release2021201620182007
Current releaseSeptember 20210.95.18.1, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoGPL version3, commercial licenses available
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 languageJavaGoJavaJava, Scala
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Linux
macOS
Unix
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyesyes infoalso supports composite index and range indexyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSQL-like query language, no joinsnonono
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
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
Supported programming languagesJavaC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Groovy
Java
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsyes infoUser defined Procedures and Functions
Triggersnonoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication via Raftyes infodepending on used storage backend, e.g. Cassandra and HBaseCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyes inforelationship in graphsnoyes infoedges in graphyes infoRelationships in graphs
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 controlno infoPlanned for future releasesUsers, roles and permissionsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
ArcadeDBDgraphHugeGraphNeo4j
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
News

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6 April 2024

This Week in Neo4j: Vectors, Knowledge Graphs, Clustering, Social Networks and more
30 March 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
ArcadeDBDgraphHugeGraphNeo4j
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