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DBMS > ArangoDB vs. EsgynDB vs. MongoDB

System Properties Comparison ArangoDB vs. EsgynDB vs. MongoDB

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionA multi-model DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMSDocument 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
Score4.88
Rank#61  Overall
#12  Document stores
#4  Graph DBMS
#10  Key-value stores
#7  Search engines
Score0.16
Rank#265  Overall
#123  Relational DBMS
Score412.09
Rank#5  Overall
#1  Document stores
Websitewww.arangodb.comesgyn.comwww.mongodb.com
Technical documentationwww.arangodb.com/­documentationesgyn.com/­developersdocs.mongodb.com/­manual
DeveloperArangoDB GmbH / triagens GmbHEsgynMongoDB, Inc
Initial release201220152009
Current release3.5.0, August 20194.2, August 2019
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen 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 servicenonono 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 languageC, C++, JavaScriptC++, JavaC++
Server operating systemsLinux
OS X
Raspbian
Solaris
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionyesschema-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 dateyes infostring, double, boolean, list, hashyesyes 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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsHTTP API
JSON style queries
ADO.NET
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesC#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetActionscript 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 proceduresJavaScriptJava Stored ProceduresJavaScript
Triggersnonoyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0ShardingSharding infopartitioned by hashed, ranged, or zoned sharding keys
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication between multi datacentersMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynoyesno infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlyesfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
ArangoDBEsgynDBMongoDB
Specific characteristicsCapabilities for Operational/Transactional Workloads Deep Integration with HBase...
» more
MongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesEsgynDB is ideally suited to supporting Hybrid Transactional and Analytical Processing...
» more
The MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
Typical application scenariosIdeally suited to scenarios where high speed continuous data ingestion is required...
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersEsgynDB's customers are worldwide, with several in the Global Fortune 500, including...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
Licensing and pricing modelsEsgynDB Enterprise Edition is the commercially supported version of Apache Trafodion...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
News

ArangoDB Hot Backup – Creating consistent cluster-wide snapshots
9 October 2019

ArangoML Pipeline – A Common Metadata Layer for Machine Learning Pipelines
25 September 2019

libgcc: When exceptions collide
19 September 2019

Multi-Model Database ArangoDB 3.5 released – Distributed Joins, Streaming Transactions, extended GraphDB & Search Capabilities
19 August 2019

Welcome Matt Ekstrom, CRO, and Jörg Schad, Head of Engineering & Machine Learning!
14 August 2019

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
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ScaleGrid: Deploy, monitor, backup and scale MongoDB in the cloud with the #1 Database-as-a-Service (DBaaS) platform.
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Knowi: Build MongoDB Reports and Data Visualizations in Minutes with Native Integration
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DBHawk: Powerful web-based MongoDB GUI. Connect securely to on-premise MongoDB or MongoDB on the Cloud, Atlas or mLab.
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Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
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Studio 3T: The world's favorite IDE for working with MongoDB
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ArangoDBEsgynDBMongoDB
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Recent citations in the news

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22 October 2019, Galus Australis

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30 November 2018, Markets Insider

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28 May 2019, Moneycontrol

The Apache Software Foundation Announces Apache® Trafodion™ as a Top-Level Project
10 January 2018, GlobeNewswire

Mphasis partners with Esgyn Corporation to optimize Open-Source frameworks and expand industry footprint
24 May 2019, PRNewswire

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Hedge Funds Piled Into MongoDB (MDB) At The Wrong Time
21 October 2019, Yahoo Finance

MongoDB: Revenue Growth Slowing Down Not Good For Valuation
20 October 2019, Seeking Alpha

MongoDB: Not A Buy Yet
10 October 2019, Seeking Alpha

MongoDB, Inc. [MDB] – What next after Recent Momentum?
21 October 2019, The Dwinnex

MongoDB cloud chief explains the value add that Atlas brings for modern data companies
26 September 2019, Diginomica

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