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DBMS > Amazon DocumentDB vs. c-treeACE vs. MongoDB

System Properties Comparison Amazon DocumentDB vs. c-treeACE vs. MongoDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonc-treeACE  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHigh speed key-value store, desgined for high availability, mission critical applications with automatic recovery and immediately consistent transaction support.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument storeKey-value store
Relational DBMS
Document store
Secondary database modelsSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#194  Overall
#27  Document stores
Score0.52
Rank#202  Overall
#34  Key-value stores
#98  Relational DBMS
Score412.09
Rank#5  Overall
#1  Document stores
Websiteaws.amazon.com/­documentdbwww.faircom.com/­-products/­-c-treeacewww.mongodb.com
Technical documentationaws.amazon.com/­documentdb/­resourceslearn.faircomcorp.com/­developers/­documentation_directorydocs.mongodb.com/­manual
DeveloperFairCom CorporationMongoDB, Inc
Initial release201919792009
Current releaseV11.5, November 20174.2, August 2019
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud serviceyesnono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
Implementation languageANSI C, C++C++
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Solaris
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-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.
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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 indexesyesyesyes
SQL infoSupport of SQLnoyes infoANSI SQL queriesRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Direct SQL
RESTful HTTP API
ADO.NET
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++JavaScript
Triggersnoyesyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infopartitioned by hashed, ranged, or zoned sharding keys
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infoSynchronous and asynchronous realtime replication based on transaction logsMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infowhen using SQLno infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyesyes infooptional
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 rolesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users and roles
More information provided by the system vendor
Amazon DocumentDBc-treeACEMongoDB
Specific characteristicsSpeed, reliability and consistency are the reasons businesses choose FairCom’s c-treeACE...
» more
MongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesTop Features High-speed transaction processing Immediately consistent, ACID-compliant,...
» more
The MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
Typical application scenariosc-treeACE speed, reliability, and flexibility are direct reasons this technology...
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersVISA, UPS, Verizon, Motorola, CommVault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
» more
70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
Licensing and pricing modelsJust as the technical aspects of c-treeACE are flexible to meet operation requirements,...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon DocumentDBc-treeACEMongoDB
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