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DBMS > Apache IoTDB vs. MaxDB vs. Percona Server for MongoDB vs. TDSQL for MySQL vs. TimesTen

System Properties Comparison Apache IoTDB vs. MaxDB vs. Percona Server for MongoDB vs. TDSQL for MySQL vs. TimesTen

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonTDSQL for MySQL  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 drop-in replacement for MongoDB Community Edition with enterprise-grade features.A high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.In-Memory RDBMS compatible to Oracle
Primary database modelTime Series DBMSRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score0.85
Rank#205  Overall
#95  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websiteiotdb.apache.orgmaxdb.sap.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.tencentcloud.com/­products/­dcdbwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlmaxdb.sap.com/­documentationdocs.percona.com/­percona-distribution-for-mongodbwww.tencentcloud.com/­document/­product/­1042docs.oracle.com/­database/­timesten-18.1
DeveloperApache Software FoundationSAP, acquired from Software AG (Adabas-D) in 1997PerconaTencentOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20181984201520131998
Current release1.1.0, April 20237.9.10.12, February 20243.4.10-2.10, November 201711 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoLimited community edition freeOpen Source infoGPL Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsAll OS with a Java VM (>= 1.8)AIX
HP-UX
Linux
Solaris
Windows
LinuxhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesschema-freeyesyes
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.nonononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesnoyesyes
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
ODBC
WebDAV
proprietary protocol using JSONJDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C#
Java
Perl
PHP
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C
C#
C++
Java
PHP
Python
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesyesJavaScriptyesPL/SQL
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingAutomatic shardingnone
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
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyes infovia In-Memory Enginenoyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardAccess rights for users and rolesUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
Apache IoTDBMaxDB infoformerly named Adabas-DPercona Server for MongoDBTDSQL for MySQLTimesTen
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