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DBMS > Microsoft Azure Cosmos DB vs. MongoDB vs. Neo4j

System Properties Comparison Microsoft Azure Cosmos DB vs. MongoDB vs. Neo4j

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Editorial information provided by DB-Engines
NameMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMongoDB  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionGlobally distributed, horizontally scalable, multi-model database serviceOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureOpen source graph database
Primary database modelDocument store
Graph DBMS
Key-value store
Wide column store
Document storeGraph DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score33.52
Rank#25  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score469.97
Rank#5  Overall
#1  Document stores
Score51.04
Rank#20  Overall
#1  Graph DBMS
Websiteazure.microsoft.com/­services/­cosmos-dbwww.mongodb.comneo4j.com
Technical documentationdocs.microsoft.com/­azure/­cosmos-dbdocs.mongodb.com/­manualneo4j.com/­docs
DeveloperMicrosoftMongoDB, IncNeo4j, Inc.
Initial release201420092007
Current release4.4.5, April 20214.2.4 , March 2021
License infoCommercial or Open SourcecommercialOpen 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 available
Cloud-based only infoOnly available as a cloud serviceyesno infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • MongoDB Atlas: the global and fully-managed cloud database service from the makers of MongoDB. Deploy across AWS, Azure, or GCP.
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Implementation languageC++Java, Scala
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeschema-freeschema-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-optional
Typing infopredefined data types such as float or dateyes infoJSON typesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
Secondary indexesyes infoAll properties auto-indexed by defaultyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSQL-like query languageRead-only SQL queries via the MongoDB Connector for BIno
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
proprietary protocol using JSONBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Actionscript 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
Server-side scripts infoStored proceduresJavaScriptJavaScriptyes infoUser defined Procedures and Functions
TriggersJavaScriptyes infoin MongoDB Atlas onlyyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infopartitioned by hashed, ranged, or zoned sharding keysnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Causal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual 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
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partitionMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptionalyes
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 3.2
User concepts infoAccess controlAccess rights can be defined down to the item levelAccess rights for users and rolesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBMongoDBNeo4j
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
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