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DBMS > Neo4j vs. Oracle Rdb vs. Quasardb vs. RavenDB

System Properties Comparison Neo4j vs. Oracle Rdb vs. Quasardb vs. RavenDB

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonOracle Rdb  Xexclude from comparisonQuasardb  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsDistributed, high-performance timeseries databaseOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMSRelational DBMSTime Series DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score44.47
Rank#23  Overall
#1  Graph DBMS
Score1.08
Rank#187  Overall
#85  Relational DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score3.01
Rank#101  Overall
#17  Document stores
Websiteneo4j.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlquasar.airavendb.net
Technical documentationneo4j.com/­docswww.oracle.com/­database/­technologies/­related/­rdb-doc.htmldoc.quasar.ai/­masterravendb.net/­docs
DeveloperNeo4j, Inc.Oracle, originally developed by Digital Equipment Corporation (DEC)quasardbHibernating Rhinos
Initial release2007198420092010
Current release5.19, April 20247.4.1.1, 20213.14.1, January 20245.4, July 2022
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availablecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL version 3, commercial license 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 languageJava, ScalaC++C#
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
HP Open VMSBSD
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-free and schema-optionalFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryno
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.nono
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyesyes infowith tagsyes
SQL infoSupport of SQLnoyesSQL-like query languageSQL-like query language (RQL)
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsnoyes
Triggersyes infovia event handlernoyes
Partitioning methods infoMethods for storing different data on different nodesyes using Neo4j FabricSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replication with selectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Cryptographically strong user authentication and audit trailAuthorization levels configured per client per database
More information provided by the system vendor
Neo4jOracle RdbQuasardbRavenDB
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

This Week in Neo4j: Nodes 2024, Data Modelling, Events, Knowledge Graphs and more
27 April 2024

GQL is Here: Your Cypher Queries in a GQL World
26 April 2024

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25 April 2024

What Is Retrieval-Augmented Generation (RAG)?
24 April 2024

This Week in Neo4j: Google Cloud, Analysis, Knowledge Graph, Relationships and more
20 April 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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