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DBMS > BaseX vs. Drizzle vs. Nebula Graph vs. Neo4j

System Properties Comparison BaseX vs. Drizzle vs. Nebula Graph vs. Neo4j

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonDrizzle  Xexclude from comparisonNebula Graph  Xexclude from comparisonNeo4j  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A distributed, linear scalable, high perfomant Graph DBMSOpen source graph database
Primary database modelNative XML DBMSRelational DBMSGraph DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#129  Overall
#4  Native XML DBMS
Score0.43
Rank#234  Overall
#19  Graph DBMS
Score50.63
Rank#21  Overall
#1  Graph DBMS
Websitebasex.orggithub.com/­vesoft-inc/­nebula
nebula-graph.io
neo4j.com
Technical documentationdocs.basex.orgdocs.nebula-graph.ioneo4j.com/­docs
DeveloperBaseX GmbHDrizzle project, originally started by Brian AkerVesoft Inc.Neo4j, Inc.
Initial release2007200820192007
Current release9.4.3, September 20207.2.4, September 20124.1.1, July 2020
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoGNU GPLOpen Source infoApache Version 2.0 + Common Clause 1.0Open 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.
Implementation languageJavaC++C++Java, Scala
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
LinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeschema-freeyesStrong typed schemaschema-free and schema-optional
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyesyes
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 indexesyesyesyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.yes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like query languageno
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBCBrowser interface
console (shell)
Proprietary native API
Query language nGQL
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C++
Java
PHP
C++
Go
Java
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnoyes infoUser defined Procedures and Functions
Triggersyes infovia eventsno infohooks for callbacks inside the server can be used.yes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Causal Clustering using Raft protocolCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
BaseXDrizzleNebula GraphNeo4j
Specific characteristicsNebula Graph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Neo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesNebula Graph boasts the world's only graph database solution that is able to host...
» more
Neo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersCurrently we have some top internet companies in China implementing Nebula Graph...
» more
Over 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsAt our very early stage, Nebula Graph has already received 3.5k stars and thousands...
» more
Neo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsNebula Graph is open source and free to use under Apache 2.0 license and Common Clause...
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

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19 September 2020

Predicting Fraud: 5-Minute Interview with Marius Hartmann
18 September 2020

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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
BaseXDrizzleNebula GraphNeo4j
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