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DBMS > Apache IoTDB vs. IBM Db2 vs. Realm vs. Splice Machine vs. STSdb

System Properties Comparison Apache IoTDB vs. IBM Db2 vs. Realm vs. Splice Machine vs. STSdb

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonRealm  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  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 FlinkCommon in IBM host environments, 2 different versions for host and Windows/LinuxA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelTime Series DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBDocument storeRelational DBMSKey-value store
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteiotdb.apache.orgwww.ibm.com/­products/­db2realm.iosplicemachine.comgithub.com/­STSSoft/­STSdb4
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.ibm.com/­docs/­en/­db2realm.io/­docssplicemachine.com/­how-it-works
DeveloperApache Software FoundationIBMRealm, acquired by MongoDB in May 2019Splice MachineSTS Soft SC
Initial release20181983 infohost version201420142011
Current release1.1.0, April 202312.1, October 20163.1, March 20214.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree version is availableOpen SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++JavaC#
Server operating systemsAll OS with a Java VM (>= 1.8)AIX
HP-UX
Linux
Solaris
Windows
z/OS
Android
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes infoprimitive types and user defined types (classes)
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
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like query languageyesnoyesno
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
JDBC
Native Spark Datasource
ODBC
.NET Client API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresyesyesno inforuns within the applications so server-side scripts are unnecessaryyes infoJavano
Triggersyesyesyes infoChange Listenersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infoonly with Windows/Unix/Linux VersionnoneShared Nothhing Auto-Sharding, Columnar Partitioningnone
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 infowith separate tools (MQ, InfoSphere)noneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and SparknonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yesyes infoIn-Memory realmyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardyesAccess rights for users, groups and roles according to SQL-standardno

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More resources
Apache IoTDBIBM Db2 infoformerly named DB2 or IBM Database 2RealmSplice MachineSTSdb
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