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DBMS > Apache IoTDB vs. MaxDB vs. Pinecone vs. Realm vs. TimesTen

System Properties Comparison Apache IoTDB vs. MaxDB vs. Pinecone vs. Realm vs. TimesTen

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonPinecone  Xexclude from comparisonRealm  Xexclude from comparisonTimesTen  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 robust and reliable RDBMS optimized to run all major SAP solutionsA managed, cloud-native vector databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelTime Series DBMSRelational DBMSVector DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score2.15
Rank#115  Overall
#55  Relational DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Score7.18
Rank#52  Overall
#8  Document stores
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websiteiotdb.apache.orgmaxdb.sap.comwww.pinecone.iorealm.iowww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlmaxdb.sap.com/­documentationdocs.pinecone.io/­docs/­overviewrealm.io/­docsdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperApache Software FoundationSAP, acquired from Software AG (Adabas-D) in 1997Pinecone Systems, IncRealm, acquired by MongoDB in May 2019Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20181984201920141998
Current release1.1.0, April 20237.9.10.12, February 2024Release 22.1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoLimited community edition freecommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)AIX
HP-UX
Linux
Solaris
Windows
hostedAndroid
Backend: server-less
iOS
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesString, Number, Booleanyesyes
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.nonononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesnonoyes
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
ODBC
WebDAV
RESTful HTTP APIODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C#
Java
Perl
PHP
Python
Python.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresyesyesno inforuns within the applications so server-side scripts are unnecessaryPL/SQL
Triggersyesyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-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
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infoIn-Memory realmyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard

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Apache IoTDBMaxDB infoformerly named Adabas-DPineconeRealmTimesTen
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