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DBMS > Amazon SimpleDB vs. Atos Standard Common Repository vs. Microsoft Access vs. MongoDB vs. Neo4j

System Properties Comparison Amazon SimpleDB vs. Atos Standard Common Repository vs. Microsoft Access vs. MongoDB vs. Neo4j

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMongoDB  Xexclude from comparisonNeo4j  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelKey-value storeDocument store
Key-value store
Relational DBMSDocument storeGraph DBMS
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.19
Rank#117  Overall
#22  Key-value stores
Score128.95
Rank#9  Overall
#6  Relational DBMS
Score488.57
Rank#5  Overall
#1  Document stores
Score58.03
Rank#20  Overall
#1  Graph DBMS
Websiteaws.amazon.com/­simpledbatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.microsoft.com/­en-us/­microsoft-365/­accesswww.mongodb.comneo4j.com
Technical documentationdocs.aws.amazon.com/­simpledbdeveloper.microsoft.com/­en-us/­accessdocs.mongodb.com/­manualneo4j.com/­docs
DeveloperAmazonAtos Convergence CreatorsMicrosoftMongoDB, IncNeo4j, Inc.
Initial release20072016199220092007
Current release17031902 (16.0.11328.20222), March 20195.0.5, December 20214.4.3, January 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficeOpen 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 serviceyesnonono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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  • ScaleGrid for MongoDB: Fully managed hosting for MongoDB database on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
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Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJavaC++C++Java, Scala
Server operating systemshostedLinuxWindows infoNot a real database server, but making use of DLLsLinux
OS X
Solaris
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewsyesschema-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 datenooptionalyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLnonoyes infobut not compliant to any SQL standardRead-only SQL queries via the MongoDB Connector for BIno
APIs and other access methodsRESTful HTTP APILDAPADO.NET
DAO
ODBC
OLE DB
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
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages with LDAP bindingsC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
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 proceduresnonoyes infosince Access 2010 using the ACE-engineJavaScriptyes infoUser defined Procedures and Functions
Triggersnoyesyes infosince Access 2010 using the ACE-engineyes infoin MongoDB Atlas onlyyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infocell divisionnoneSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.yes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneMulti-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 methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual Consistency depending on configurationEventual 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 integritynonoyesno infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationAtomic execution of specific operationsACID infobut no files for transaction loggingMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)LDAP bind authenticationno infoa simple user-level security was built in till version Access 2003Access rights for users and rolesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
Amazon SimpleDBAtos Standard Common RepositoryMicrosoft AccessMongoDBNeo4j
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
Neo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Neo4j is the market leader, graph database category creator, and the most widely...
» 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 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metrics175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
Neo4j boasts the world's largest graph database ecosystem with more than 140 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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