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DBMS > InterSystems IRIS vs. MongoDB vs. OmniSci

System Properties Comparison InterSystems IRIS vs. MongoDB vs. OmniSci

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Editorial information provided by DB-Engines
NameInterSystems IRIS  Xexclude from comparisonMongoDB  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityOne 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
Key-value store
Object oriented DBMS
Relational DBMS
Document storeRelational 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
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.74
Rank#130  Overall
#21  Document stores
#24  Key-value stores
#2  Object oriented DBMS
#64  Relational DBMS
Score496.50
Rank#5  Overall
#1  Document stores
Score1.38
Rank#144  Overall
#70  Relational DBMS
Websitewww.intersystems.com/­products/­intersystems-iriswww.mongodb.comwww.omnisci.com
Technical documentationdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.mongodb.com/­manualdocs.omnisci.com
DeveloperInterSystemsMongoDB, IncMapD Technologies, Inc.
Initial release201820092016
Current release2021.1, June 20215.0, July 20215.6, April 2021
License infoCommercial or Open SourcecommercialOpen 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

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Implementation languageC++C++ and CUDA
Server operating systemsAIX
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemedepending on used data modelschema-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 dateyesyes 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.yesno
Secondary indexesyesyesno
SQL infoSupport of SQLyesRead-only SQL queries via the MongoDB Connector for BIyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
proprietary protocol using JSONJDBC
ODBC
Thrift
Supported programming languages.Net
C++
Java
JavaScript (Node.js)
Python
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
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyesJavaScriptno
Triggersyesyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Sharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityyesno 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 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 3.2yes
User concepts infoAccess controlyesAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
InterSystems IRISMongoDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsMongoDB 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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More resources
InterSystems IRISMongoDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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Conferences and events

MongoDB.Local London
London, 9 November 2021

Finished events

Introduction to MongoDB
Webinar, on demand, 27 July 2021 (finished)

Recent citations in the news

InterSystems IRIS® FHIR® Accelerator Service Enables Easy Retrieval and Storage of Healthcare Data
20 September 2021, Business Wire

InterSystems IRIS FHIR accelerator service enables easy retrieval and storage of healthcare data
21 September 2021, DOTmed HealthCare Business News

InterSystems and Unqork Partner to Accelerate Innovation and Unlock Business Value for Financial Services Customers
27 August 2021, Business Wire

Interview: InterSystems, Cloud Awards finalist
20 September 2021, www.computing.co.uk

Latest Release of InterSystems IRIS Data Platform Provides Next Step in Data Fabric Adoption
17 June 2021, Business Wire

provided by Google News

MongoDB surge wraps up a massive week for open-source software as a business
3 September 2021, CNBC

5 Things to Know About MongoDB Stock
16 September 2021, Motley Fool

MongoDB’s Atlas Turns Five
16 September 2021, DevOps.com

Couchbase Is No MongoDB
10 September 2021, Motley Fool

MongoDB (MDB) gains 4.51% on Moderate Volume September 22
23 September 2021, Equities.com

provided by Google News

United States GPU Database Market Size, Growth And Analysis By Leading Keyplayers – Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox – Stillwater Current
20 September 2021, Stillwater Current

Understanding The Macroscope Initiative And GeoML
24 August 2021, Forbes

OmniSci Announces Multiple Opportunities To Accelerate Geospatial, GPU Database Knowledge At GTC 2021, April 12-16
12 April 2021, PRNewswire

OmniSci Launches Free Edition of Platform to Democratize the Power of Accelerated Analytics
3 March 2021, PRNewswire

OmniSci Drops OmniSci Free Edition Analytics and Data Science Platform
9 March 2021, Solutions Review

provided by Google News

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