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DBMS > Apache IoTDB vs. Microsoft Access vs. MongoDB

System Properties Comparison Apache IoTDB vs. Microsoft Access vs. MongoDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMongoDB  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 FlinkMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelTime Series DBMSRelational DBMSDocument store
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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.65
Rank#242  Overall
#19  Time Series DBMS
Score138.17
Rank#9  Overall
#6  Relational DBMS
Score486.23
Rank#5  Overall
#1  Document stores
Websiteiotdb.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswww.mongodb.com
Technical documentationdeveloper.microsoft.com/­en-us/­accessdocs.mongodb.com/­manual
DeveloperApache Software FoundationMicrosoftMongoDB, Inc
Initial release201819922009
Current release1902 (16.0.11328.20222), March 20196.0.1, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoBundled with Microsoft OfficeOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsAll OS with a Java VM (>= 1.8)Windows infoNot a real database server, but making use of DLLsLinux
OS X
Solaris
Windows
Data schemeyesyesschema-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.
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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 indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageyes infobut not compliant to any SQL standardRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsJDBC
Native API
ADO.NET
DAO
ODBC
OLE DB
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
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
Server-side scripts infoStored proceduresyesyes infosince Access 2010 using the ACE-engineJavaScript
Triggersyesyes infosince Access 2010 using the ACE-engineyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynoyesno infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyes infooptional, enabled by default
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 3.2
User concepts infoAccess controlyesno infoa simple user-level security was built in till version Access 2003Access rights for users and roles
More information provided by the system vendor
Apache IoTDBMicrosoft AccessMongoDB
Specific characteristicsApache IoTDB (Internet of Things Database) is a time series data management system...
» more
MongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesLow Cost and High Performance Tens of million points write throughput High compression...
» more
The MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosIoT / IIoT End-Edge-Cloud Collaboration Real-Time and Historian Time Series Analytics
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersOver 200 customers worldwide, including Bosch, Siemens, Komat'su, Alibaba, etc.
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics185+ contributors and 10,000+ times monthly clones on GitHub Rank 7 by commits among...
» more
200+ million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsOpen Source: Apache License v2.0 Pricing for commercial-/cloud-/edge-edition provided...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
Apache IoTDBMicrosoft AccessMongoDB
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Recent citations in the news

Timecho, Founded by the Creators of Apache IoTDB, Raises Over US$10 Million First Fund for Open-Source Software R&D and Time-Series Database Solutions USA - English - USA - English
29 June 2022, PR Newswire

The founders of Apache IoTDB founded Timecho, which has garnered over $10 million for its inaugural fund
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