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DBMS > Apache IoTDB vs. MongoDB vs. PostGIS vs. Quasardb

System Properties Comparison Apache IoTDB vs. MongoDB vs. PostGIS vs. Quasardb

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonMongoDB  Xexclude from comparisonPostGIS  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureSpatial extension of PostgreSQLDistributed, high-performance timeseries database
Primary database modelTime Series DBMSDocument storeSpatial DBMSTime Series 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
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#183  Overall
#15  Time Series DBMS
Score424.53
Rank#5  Overall
#1  Document stores
Score24.72
Rank#29  Overall
#1  Spatial DBMS
Score0.19
Rank#330  Overall
#30  Time Series DBMS
Websiteiotdb.apache.orgwww.mongodb.compostgis.netquasar.ai
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.mongodb.com/­docs/­manualpostgis.net/­documentationdoc.quasar.ai/­master
DeveloperApache Software FoundationMongoDB, Incquasardb
Initial release2018200920052009
Current release1.1.0, April 20236.0.7, June 20233.4.2, February 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 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.Open Source infoGPL v2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)nono
DBaaS offerings (sponsored links) infoDatabase as a Service

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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 languageJavaC++CC++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Data schemeyesschema-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
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes infointeger and binary
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.noyesno
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLSQL-like query languageRead-only SQL queries via the MongoDB Atlas SQL InterfaceyesSQL-like query language
APIs and other access methodsJDBC
Native API
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
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
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesJavaScriptuser defined functionsno
Triggersyesyes infoin MongoDB Atlas onlyyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding 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 infobased on PostgreSQLSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
yes infobased on PostgreSQLSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyesyes infoby using LevelDB
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 3.2noyes infoTransient mode
User concepts infoAccess controlyesAccess rights for users and rolesyes infobased on PostgreSQLCryptographically strong user authentication and audit trail
More information provided by the system vendor
Apache IoTDBMongoDBPostGISQuasardb
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
Apache IoTDBMongoDBPostGISQuasardb
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