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DBMS > ArangoDB vs. MongoDB vs. OmniSci

System Properties Comparison ArangoDB vs. MongoDB vs. OmniSci

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonMongoDB  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Document storeRelational DBMS
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
Score5.55
Rank#69  Overall
#11  Document stores
#3  Graph DBMS
#10  Key-value stores
#8  Search engines
Score448.02
Rank#5  Overall
#1  Document stores
Score2.23
Rank#123  Overall
#61  Relational DBMS
Websitewww.arangodb.comwww.mongodb.comwww.omnisci.com
Technical documentationwww.arangodb.com/­docs/­stabledocs.mongodb.com/­manualdocs.omnisci.com
DeveloperArangoDB Inc.MongoDB, IncMapD Technologies, Inc.
Initial release201220092016
Current release3.7.2.1, September 20204.4.1, September 2020V4
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen 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 infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenono 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.
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.
  • MongoDB Atlas: the global and fully-managed cloud database service from the makers of MongoDB. Deploy across AWS, Azure, or GCP.
  • 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.
Implementation languageC++C++C++ and CUDA
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-free infoautomatically recognizes schema within a collectionschema-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.yes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyes 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.no
Secondary indexesyesyesno
SQL infoSupport of SQLnoRead-only SQL queries via the MongoDB Connector for BIyes
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
proprietary protocol using JSONJDBC
ODBC
Thrift
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
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
Rust
Scala
Smalltalk infoinofficial driver
Swift
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresJavaScriptJavaScriptno
Triggersnoyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0Sharding infopartitioned by hashed, ranged, or zoned sharding keysSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptyesno
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)
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-document ACID Transactions with snapshot isolationno
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 3.2yes
User concepts infoAccess controlyesAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
ArangoDBMongoDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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,...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
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

ArangoML Part 3: Bootstrapping and Bias Variance
24 October 2020

ArangoML Part 2: Basic Arangopipe Workflow
9 October 2020

ArangoML Part 1: Where Graphs and Machine Learning Meet
25 September 2020

A story of a memory leak in GO: How to properly use time.After()
14 September 2020

ArangoDB 3.7 – A Big Step Forward for Multi-Model
27 August 2020

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
ArangoDBMongoDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

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PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

PostgreSQL moves up one rank at the expense of MongoDB
1 September 2016, Paul Andlinger

Oracle is the DBMS of the Year
5 January 2016, Paul Andlinger, Matthias Gelbmann

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Conferences and events

MongoDB.live Northern Europe
Online Event, 10 November 2020

MongoDB.live Northern America
Online Event, 17 November 2020

MongoDB.live India / Asean
Online Event, 19 November 2020

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