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DBMS > MongoDB vs. Neo4j vs. PostgreSQL

System Properties Comparison MongoDB vs. Neo4j vs. PostgreSQL

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Editorial information provided by DB-Engines
NameMongoDB  Xexclude from comparisonNeo4j  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureOpen source graph databaseWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument storeGraph DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score458.95
Rank#5  Overall
#1  Document stores
Score52.16
Rank#19  Overall
#1  Graph DBMS
Score550.96
Rank#4  Overall
#4  Relational DBMS
Websitewww.mongodb.comneo4j.comwww.postgresql.org
Technical documentationdocs.mongodb.com/­manualneo4j.com/­docswww.postgresql.org/­docs
DeveloperMongoDB, IncNeo4j, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release200920071989 info1989: Postgres, 1996: PostgreSQL
Current release4.4.3 , December 20204.2.3, January 202113.2 , February 2021
License infoCommercial or Open SourceOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoGPL version3, commercial licenses availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceno infoMongoDB available as DBaaS (MongoDB Atlas)nono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, ScalaC
Server operating systemsLinux
OS X
Solaris
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.schema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes
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.yes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLRead-only SQL queries via the MongoDB Connector for BInoyes infostandard with numerous extensions
APIs and other access methodsproprietary protocol using JSONBolt 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 languagesActionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresJavaScriptyes infoUser defined Procedures and Functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyes infoin MongoDB Atlas onlyyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesSharding infopartitioned by hashed, ranged, or zoned sharding keysnonepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-document ACID Transactions with snapshot isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infooptionalyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlAccess rights for users and rolesUsers, 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
MongoDBNeo4jPostgreSQL
Specific characteristicsMongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Neo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Neo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Over 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metrics125 million downloads (growing at more than 30 thousand downloads per day), over...
» more
Neo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

Top 10 Use Cases: Empowering Network and IT Operations Management
22 February 2021

This Week in Neo4j – Structured data embedded in web pages, Speaker Listener LPA, Neo4j at NASA
20 February 2021

Graphs for Artificial Intelligence and Machine Learning
18 February 2021

Top 10 Use Cases: Supply Chain Management
15 February 2021

This Week in Neo4j – English WordNet Graph, Supervised Machine Learning, Using Neo4j with GraalVM
13 February 2021

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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