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DBMS > InfluxDB vs. InterSystems IRIS vs. MongoDB vs. Spark SQL vs. Stardog

System Properties Comparison InfluxDB vs. InterSystems IRIS vs. MongoDB vs. Spark SQL vs. Stardog

Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMongoDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsA 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 infrastructureSpark SQL is a component on top of 'Spark Core' for structured data processingEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelTime Series DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Document storeRelational DBMSGraph DBMS
RDF store
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score421.65
Rank#5  Overall
#1  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.influxdata.com/­products/­influxdb-overviewwww.intersystems.com/­products/­intersystems-iriswww.mongodb.comspark.apache.org/­sqlwww.stardog.com
Technical documentationdocs.influxdata.com/­influxdbdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.mongodb.com/­docs/­manualspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.stardog.com
DeveloperInterSystemsMongoDB, IncApache Software FoundationStardog-Union
Initial release20132018200920142010
Current release2.7.6, April 20242023.3, June 20236.0.7, June 20233.5.0 ( 2.13), September 20237.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen 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 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)nono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
Implementation languageGoC++ScalaJava
Server operating systemsLinux
OS X infothrough Homebrew
AIX
Linux
macOS
Ubuntu
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeschema-freedepending 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.yesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes
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.noyesnono infoImport/export of XML data possible
Secondary indexesnoyesyesnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-like query languageyesRead-only SQL queries via the MongoDB Atlas SQL InterfaceSQL-like DML and DDL statementsYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsHTTP API
JSON over UDP
JDBC
ODBC
RESTful HTTP API
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.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
Kotlin
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
Java
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoyesJavaScriptnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyesyes infoin MongoDB Atlas onlynoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.yes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlySource-replica replicationMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
noneMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesno infotypically not used, however similar functionality with DBRef possiblenoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDMulti-document ACID Transactions with snapshot isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyesyes infoIn-memory storage engine introduced with MongoDB version 3.2noyes
User concepts infoAccess controlsimple rights management via user accountsyesAccess rights for users and rolesnoAccess rights for users and roles
More information provided by the system vendor
InfluxDBInterSystems IRISMongoDBSpark SQLStardog
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
InterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more
MongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Built around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
News

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30 April 2024

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26 April 2024

Sync Data from InfluxDB v2 to v3 With the Quix Template
8 April 2024

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5 April 2024

Comparing Dates in Java: A Tutorial
3 April 2024

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
InfluxDBInterSystems IRISMongoDBSpark SQLStardog
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Conferences, events and webinars

Intro to MongoDB
Webinar, 11am ET, 1 May 2024

Recent citations in the news

Run and manage open source InfluxDB databases with Amazon Timestream | Amazon Web Services
14 March 2024, AWS Blog

Amazon Timestream: Managed InfluxDB for Time Series Data
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InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
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How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency
15 March 2024, Datanami

AWS and InfluxData partner to offer managed time series database Timestream for InfluxDB
5 April 2024, VentureBeat

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26 March 2024, Datanami

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