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DBMS > HugeGraph vs. Neo4j vs. OpenEdge vs. VoltDB

System Properties Comparison HugeGraph vs. Neo4j vs. OpenEdge vs. VoltDB

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonNeo4j  Xexclude from comparisonOpenEdge  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionA 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 offeringsApplication development environment with integrated database management systemDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelGraph DBMSGraph DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
neo4j.comwww.progress.com/­openedgewww.voltdb.com
Technical documentationhugegraph.apache.org/­docsneo4j.com/­docsdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.voltdb.com
DeveloperBaiduNeo4j, Inc.Progress Software CorporationVoltDB Inc.
Initial release2018200719842010
Current release0.95.20, May 2024OpenEdge 12.2, March 202011.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL version3, commercial licenses availablecommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
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 languageJavaJava, ScalaJava, C++
Server operating systemsLinux
macOS
Unix
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X infofor development
Data schemeyesschema-free and schema-optionalyesyes
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.noyes
Secondary indexesyes infoalso supports composite index and range indexyes infopluggable indexing subsystem, by default Apache Luceneyesyes
SQL infoSupport of SQLnonoyes infoclose to SQL 92yes infoonly a subset of SQL 99
APIs and other access methodsJava 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
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesGroovy
Java
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Progress proprietary ABL (Advanced Business Language)C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes infoUser defined Procedures and FunctionsyesJava
Triggersnoyes infovia event handleryesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes using Neo4j Fabrichorizontal partitioning infosince Version 11.4Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyes infoRelationships in graphsyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers, roles and permissionsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Users and groupsUsers and roles with access to stored procedures
More information provided by the system vendor
HugeGraphNeo4jOpenEdgeVoltDB
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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