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DBMS > InterSystems IRIS vs. MongoDB vs. TimescaleDB

System Properties Comparison InterSystems IRIS vs. MongoDB vs. TimescaleDB

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Editorial information provided by DB-Engines
NameInterSystems IRIS  Xexclude from comparisonMongoDB  Xexclude from comparisonTimescaleDB  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 time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Document storeTime Series DBMS
Secondary database modelsSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.92
Rank#155  Overall
#20  Document stores
#25  Key-value stores
#6  Object oriented DBMS
#77  Relational DBMS
Score412.09
Rank#5  Overall
#1  Document stores
Score1.52
Rank#124  Overall
#8  Time Series DBMS
Websitewww.intersystems.com/­products/­intersystems-iriswww.mongodb.comwww.timescale.com
Technical documentationdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.mongodb.com/­manualdocs.timescale.com
DeveloperInterSystemsMongoDB, IncTimescale
Initial release201820092017
Current release2018.1.1, February 20184.2, August 2019
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 2.0
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.
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
Server operating systemsAIX
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
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, geospatialnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.yesyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesRead-only SQL queries via the MongoDB Connector for BIyes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP API
JDBC
ODBC
proprietary protocol using JSONnative C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C++
Java
JavaScript (Node.js)
Python
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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesJavaScriptuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyes infoin MongoDB Atlas onlyyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infopartitioned by hashed, ranged, or zoned sharding keysyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replicationMaster-slave replication with hot standby and reads on slaves info
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 possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-document ACID Transactions with snapshot isolationACID
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.yesyes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlyesAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
InterSystems IRISMongoDBTimescaleDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more
MongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
TimescaleDB is the first open-source time-series database that combines the reliability,...
» more
Competitive advantagesThe MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
IoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Altair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» more
Market metrics70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
1 million+ downloads, 6,500+ Github stars
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
Apache 2 and Timescale License (TSL); information on pricing for support and enterprise...
» more
Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more

ScaleGrid: Deploy, monitor, backup and scale MongoDB in the cloud with the #1 Database-as-a-Service (DBaaS) platform.
» more

DBHawk: Powerful web-based MongoDB GUI. Connect securely to on-premise MongoDB or MongoDB on the Cloud, Atlas or mLab.
» more

Knowi: Build MongoDB Reports and Data Visualizations in Minutes with Native Integration
» more

Studio 3T: The world's favorite IDE for working with MongoDB
» more

Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
» more

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

More resources
InterSystems IRISMongoDBTimescaleDB
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Recent citations in the news

InterSystems Streamlines Adoption of InterSystems IRIS Data Platform™ with Enhanced Availability on AWS Marketplace
1 October 2019, Business Wire

InterSystems Introduces QuickML™ to Add Machine Learning to Applications Directly From SQL
23 September 2019, Business Wire

InterSystems launches QuickML with machine learning capabilities
24 September 2019, App Developer Magazine

InterSystems simplifies the machine learning process with new solution
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InterSystems' Data Mgmt Platform Now Available on AWS Marketplace
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26 September 2019, Diginomica

MongoDB Management Talks Growth Drivers, Operating Margin, and More
18 September 2019, The Motley Fool

Impressive Earnings And Reasonable Valuation: MongoDB, Inc., (NASDAQ: MDB)
17 October 2019, StockNewsWorld

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TimescaleDB Delivers Another Option for Time-Series Analytics
17 October 2019, Datanami

Timescale announces $15M investment and new enterprise version of TimescaleDB
29 January 2019, TechCrunch

TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
22 August 2019, Packt Hub

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16 April 2019, PRNewswire

Why time series databases are exploding in popularity
26 June 2019, TechRepublic

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