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DBMS > Dgraph vs. HBase vs. jBASE vs. Neo4j

System Properties Comparison Dgraph vs. HBase vs. jBASE vs. Neo4j

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonHBase  Xexclude from comparisonjBASE  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSWide-column store based on Apache Hadoop and on concepts of BigTableA robust multi-value DBMS comprising development tools and middlewareScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelGraph DBMSWide column storeMultivalue DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Websitedgraph.iohbase.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseneo4j.com
Technical documentationdgraph.io/­docshbase.apache.org/­book.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9neo4j.com/­docs
DeveloperDgraph Labs, Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetRocket Software (formerly Zumasys)Neo4j, Inc.
Initial release2016200819912007
Current release2.3.4, January 20215.75.19, April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2commercialOpen 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 languageGoJavaJava, Scala
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
AIX
Linux
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeschema-freeschema-free, schema definition possibleschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROoptionalyes
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.nonoyes
Secondary indexesyesnoyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLnonoEmbedded SQL for jBASE in BASICno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Basic
Jabbascript
Java
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javayesyes infoUser defined Procedures and Functions
Triggersnoyesyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication
Source-replica replication
yesCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACIDACID
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.yesyes
User concepts infoAccess controlno infoPlanned for future releasesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights can be defined down to the item levelUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
DgraphHBasejBASENeo4j
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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