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DBMS > Apache IoTDB vs. InterSystems Caché vs. MaxDB vs. TimesTen vs. Warp 10

System Properties Comparison Apache IoTDB vs. InterSystems Caché vs. MaxDB vs. TimesTen vs. Warp 10

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonTimesTen  Xexclude from comparisonWarp 10  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed 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 multi-model DBMS and application serverA 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 HBase
Primary database modelTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
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.orgwww.intersystems.com/­products/­cachemaxdb.sap.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.warp10.io
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.intersystems.commaxdb.sap.com/­documentationdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperApache Software FoundationInterSystemsSAP, acquired from Software AG (Adabas-D) in 1997Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005SenX
Initial release20181997198419982015
Current release1.1.0, April 20232018.1.4, May 20207.9.10.12, February 2024Release 22.1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infoLimited community edition freecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
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 Open VMS
HP-UX
Linux
OS X
Solaris
Windows
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
Data schemeyesdepending on used data modelyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesnonono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like query languageyesyesyesno
APIs and other access methodsJDBC
Native API
.NET Client API
JDBC
ODBC
RESTful HTTP 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
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
C++
Java
.Net
C#
Java
Perl
PHP
Python
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresyesyesyesPL/SQLyes infoWarpScript
Triggersyesyesyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonenonenoneSharding infobased on HBase
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 replicationSource-replica replicationMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
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 configurationImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyesyes
User concepts infoAccess controlyesAccess rights for users, groups and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Apache IoTDBInterSystems CachéMaxDB infoformerly named Adabas-DTimesTenWarp 10
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