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DBMS > Apache IoTDB vs. Microsoft Azure AI Search vs. ObjectBox vs. Trafodion

System Properties Comparison Apache IoTDB vs. Microsoft Azure AI Search vs. ObjectBox vs. Trafodion

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonObjectBox  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines 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 FlinkSearch-as-a-service for web and mobile app developmentLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsTransactional SQL-on-Hadoop DBMS
Primary database modelTime Series DBMSSearch engineObject oriented DBMS
Vector DBMS
Relational DBMS
Secondary database modelsVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Websiteiotdb.apache.orgazure.microsoft.com/­en-us/­services/­searchgithub.com/­objectbox
objectbox.io
trafodion.apache.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmllearn.microsoft.com/­en-us/­azure/­searchdocs.objectbox.iotrafodion.apache.org/­documentation.html
DeveloperApache Software FoundationMicrosoftObjectBox LimitedApache Software Foundation, originally developed by HP
Initial release2018201520172014
Current release1.1.0, April 2023V14.0 (May 2024)2.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialBindings are released under Apache 2.0 infoApache License 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C++, Java
Server operating systemsAll OS with a Java VM (>= 1.8)hostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes, plus "flex" map-like typesyes
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagenonoyes
APIs and other access methodsJDBC
Native API
RESTful HTTP APIProprietary native APIADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
Java
JavaScript
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesnonoJava Stored Procedures
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infoImplicit feature of the cloud servicenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes infoImplicit feature of the cloud serviceData sync between devices allowing occasional connected databases to work completely offlineyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlyesyes infousing Azure authenticationyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache IoTDBMicrosoft Azure AI SearchObjectBoxTrafodion
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18 June 2024

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29 May 2024

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Apache IoTDBMicrosoft Azure AI SearchObjectBoxTrafodion
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