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DBMS > Apache IoTDB vs. Microsoft Azure Table Storage vs. OpenEdge vs. OpenQM vs. Realm

System Properties Comparison Apache IoTDB vs. Microsoft Azure Table Storage vs. OpenEdge vs. OpenQM vs. Realm

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOpenEdge  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonRealm  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 FlinkA Wide Column Store for rapid development using massive semi-structured datasetsApplication development environment with integrated database management systemQpenQM is a high-performance, self-tuning, multi-value DBMSA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelTime Series DBMSWide column storeRelational DBMSMultivalue DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websiteiotdb.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.progress.com/­openedgewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmrealm.io
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestrealm.io/­docs
DeveloperApache Software FoundationMicrosoftProgress Software CorporationRocket Software, originally Martin PhillipsRealm, acquired by MongoDB in May 2019
Initial release20182012198419932014
Current release1.1.0, April 2023OpenEdge 12.2, March 20203.4-12
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPLv2, extended commercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsAll OS with a Java VM (>= 1.8)hostedAIX
HP-UX
Linux
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesschema-freeyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesyesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyes infoclose to SQL 92nono
APIs and other access methodsJDBC
Native API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language).Net
Basic
C
Java
Objective C
PHP
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyesnoyesyesno inforuns within the applications so server-side scripts are unnecessary
Triggersyesnoyesyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infoImplicit feature of the cloud servicehorizontal partitioning infosince Version 11.4yesnone
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 service. Replication either local, cross-facility or geo-redundant.Source-replica replicationyesnone
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
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infoIn-Memory realm
User concepts infoAccess controlyesAccess rights based on private key authentication or shared access signaturesUsers and groupsAccess rights can be defined down to the item levelyes

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More resources
Apache IoTDBMicrosoft Azure Table StorageOpenEdgeOpenQM infoalso called QMRealm
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