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DBMS > 4D vs. HBase vs. Neo4j vs. Postgres-XL

System Properties Comparison 4D vs. HBase vs. Neo4j vs. Postgres-XL

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonHBase  Xexclude from comparisonNeo4j  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemWide-column store based on Apache Hadoop and on concepts of BigTableScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSWide column storeGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitewww.4d.comhbase.apache.orgneo4j.comwww.postgres-xl.org
Technical documentationdeveloper.4d.comhbase.apache.org/­book.htmlneo4j.com/­docswww.postgres-xl.org/­documentation
Developer4D, IncApache Software Foundation infoApache top-level project, originally developed by PowersetNeo4j, Inc.
Initial release1984200820072014 infosince 2012, originally named StormDB
Current releasev20, April 20232.3.4, January 20215.19, April 202410 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoGPL version3, commercial licenses availableOpen Source infoMozilla public license
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, ScalaC
Server operating systemsOS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Data schemeyesschema-free, schema definition possibleschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes
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.yesnoyes infoXML type, but no XML query functionality
Secondary indexesyesnoyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLyes infoclose to SQL 92nonoyes infodistributed, parallel query execution
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Java API
RESTful HTTP API
Thrift
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages4D proprietary IDE
PHP
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesyes infoCoprocessors in Javayes infoUser defined Procedures and Functionsuser defined functions
Triggersyesyesyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes using Neo4j Fabrichorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
Causal 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
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACIDACID infoMVCC
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.noyesno
User concepts infoAccess controlUsers and groupsAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)fine grained access rights according to SQL-standard
More information provided by the system vendor
4D infoformer name: 4th DimensionHBaseNeo4jPostgres-XL
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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More resources
4D infoformer name: 4th DimensionHBaseNeo4jPostgres-XL
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