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DBMS > Apache IoTDB vs. MaxDB vs. TimesTen vs. Warp 10 vs. Yanza

System Properties Comparison Apache IoTDB vs. MaxDB vs. TimesTen vs. Warp 10 vs. Yanza

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonTimesTen  Xexclude from comparisonWarp 10  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. 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 FlinkA robust and reliable RDBMS optimized to run all major SAP solutionsAn 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.TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseTime Series DBMS for IoT Applications
Primary database modelTime Series DBMSRelational DBMSRelational DBMSTime Series 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
Score2.15
Rank#115  Overall
#55  Relational DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Score0.06
Rank#351  Overall
#35  Time Series DBMS
Websiteiotdb.apache.orgmaxdb.sap.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.warp10.ioyanza.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlmaxdb.sap.com/­documentationdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperApache Software FoundationSAP, acquired from Software AG (Adabas-D) in 1997Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005SenXYanza
Initial release20181984199820152015
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 Source infoApache License 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemsAll OS with a Java VM (>= 1.8)AIX
HP-UX
Linux
Solaris
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Linux
OS X
Windows
Windows
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesyesyesnono
SQL infoSupport of SQLSQL-like query languageyesyesnono
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
ODBC
WebDAV
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
HTTP API
Jupyter
WebSocket
HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C#
Java
Perl
PHP
Python
C
C++
Java
Node.js
PL/SQL
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesyesPL/SQLyes infoWarpScriptno
Triggersyesyesnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonenoneSharding infobased on HBasenone
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 replicationMulti-source replication
Source-replica replication
selectable replication factor infobased on HBasenone
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 Consistency or Eventual Consistency depending on configurationImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby means of logfiles and checkpointsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizationsno

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More resources
Apache IoTDBMaxDB infoformerly named Adabas-DTimesTenWarp 10Yanza
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