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DBMS > Apache IoTDB vs. FoundationDB vs. OrigoDB vs. Realm vs. TDSQL for MySQL

System Properties Comparison Apache IoTDB vs. FoundationDB vs. OrigoDB vs. Realm vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonRealm  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
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 FlinkOrdered key-value store. Core features are complimented by layers.A fully ACID in-memory object graph databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelTime Series DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document store
Object oriented DBMS
Document storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websiteiotdb.apache.orggithub.com/­apple/­foundationdborigodb.comrealm.iowww.tencentcloud.com/­products/­dcdb
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlapple.github.io/­foundationdborigodb.com/­docsrealm.io/­docswww.tencentcloud.com/­document/­product/­1042
DeveloperApache Software FoundationFoundationDBRobert Friberg et alRealm, acquired by MongoDB in May 2019Tencent
Initial release201820132009 infounder the name LiveDB20142013
Current release1.1.0, April 20236.2.28, November 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open SourceOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C#
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
Linux
Windows
Android
Backend: server-less
iOS
Windows
hosted
Data schemeyesschema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingUser defined using .NET types and collectionsyesyes
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.nono infocan be achieved using .NETnono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like query languagesupported in specific SQL layer onlynonoyes
APIs and other access methodsJDBC
Native API
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesin SQL-layer onlyyesno inforuns within the applications so server-side scripts are unnecessaryyes
Triggersyesnoyes infoDomain Eventsyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardinghorizontal partitioning infoclient side managed; servers are not synchronizednoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Linearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlydepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoIn-Memory realmno
User concepts infoAccess controlyesnoRole based authorizationyesUsers with fine-grained authorization concept

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More resources
Apache IoTDBFoundationDBOrigoDBRealmTDSQL for MySQL
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