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DBMS > ArangoDB vs. EsgynDB vs. Greenplum vs. MongoDB

System Properties Comparison ArangoDB vs. EsgynDB vs. Greenplum vs. MongoDB

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.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 store
Graph DBMS
Key-value store
Search engine
Relational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.92
Rank#72  Overall
#10  Document stores
#3  Graph DBMS
#11  Key-value stores
#8  Search engines
Score0.26
Rank#274  Overall
#127  Relational DBMS
Score12.93
Rank#42  Overall
#26  Relational DBMS
Score488.22
Rank#5  Overall
#1  Document stores
Websitewww.arangodb.comwww.esgyn.cngreenplum.orgwww.mongodb.com
Technical documentationwww.arangodb.com/­docs/­stabledocs.greenplum.orgdocs.mongodb.com/­manual
DeveloperArangoDB Inc.EsgynPivotal Software Inc.MongoDB, Inc
Initial release2012201520052009
Current release3.7.9, March 20216.7.1, April 20204.4.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercialOpen Source infoApache 2.0Open 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 servicenononono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ArangoDB Oasis –The Managed Cloud Service of ArangoDB. Oasis provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
  • 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.
  • MongoDB Atlas: the global and fully-managed cloud database service from the makers of MongoDB. Deploy across AWS, Azure, or GCP.
Implementation languageC++C++, JavaC++
Server operating systemsLinux
OS X
Windows
LinuxLinuxLinux
OS X
Solaris
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionyesyesschema-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, hashyesyesyes 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.noyes infosince Version 4.2
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesyesRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
ADO.NET
JDBC
ODBC
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
All languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
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
Server-side scripts infoStored proceduresJavaScriptJava Stored ProceduresyesJavaScript
Triggersnonoyesyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0ShardingShardingSharding infopartitioned by hashed, ranged, or zoned sharding keys
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorMulti-source replication between multi datacentersSource-replica replicationMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyes inforelationships in graphsyesyesno infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
ArangoDBEsgynDBGreenplumMongoDB
Specific characteristicsOne Engine. One Query Language. Multiple Data Models. ArangoDB is an open source...
» more
MongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
The MongoDB platform can be used by developers building transactional, operational,...
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Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
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Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
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Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsArangoDB is the leading native multi-model database with over 9000 stargazers on...
» more
125 million downloads (growing at more than 30 thousand downloads per day), over...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
News

Introducing Developer Deployments on ArangoDB Oasis
8 June 2021

ArangoBnB: Data Preparation Case Study
1 June 2021

May 2021: What’s the Latest with ArangoDB?
28 May 2021

April 2021: What’s the Latest with ArangoDB?
24 April 2021

March 2021: What’s the Latest with ArangoDB?
26 March 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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More resources
ArangoDBEsgynDBGreenplumMongoDB
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
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PostgreSQL is the DBMS of the Year 2020
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PostgreSQL is the DBMS of the Year 2018
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Conferences and events

The Secret Sauce for Data Modeling
Webinar Recording, 1 June 2021 - 1 July 2021

MongoDB.Live
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