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DBMS > Apache IoTDB vs. LeanXcale vs. MaxDB vs. openGauss vs. TimesTen

System Properties Comparison Apache IoTDB vs. LeanXcale vs. MaxDB vs. openGauss vs. TimesTen

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonopenGauss  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 highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA robust and reliable RDBMS optimized to run all major SAP solutionsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiAn 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 DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score0.28
Rank#286  Overall
#41  Key-value stores
#130  Relational DBMS
Score2.15
Rank#115  Overall
#55  Relational DBMS
Score1.11
Rank#175  Overall
#79  Relational DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websiteiotdb.apache.orgwww.leanxcale.commaxdb.sap.comgitee.com/­opengauss
opengauss.org
www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlmaxdb.sap.com/­documentationdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperApache Software FoundationLeanXcaleSAP, acquired from Software AG (Adabas-D) in 1997Huawei and openGauss communityOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20182015198420191998
Current release1.1.0, April 20237.9.10.12, February 20243.0, March 2022Release 22.1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infoLimited community edition freeOpen Sourcecommercial
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++C, C++, Java
Server operating systemsAll OS with a Java VM (>= 1.8)AIX
HP-UX
Linux
Solaris
Windows
LinuxIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyes infothrough Apache DerbyyesANSI SQL 2011yes
APIs and other access methodsJDBC
Native API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
ODBC
WebDAV
JDBC
ODBC
ODBC
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
C
Java
Scala
.Net
C#
Java
Perl
PHP
Python
C
C++
Java
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresyesyesyesPL/SQL
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonehorizontal partitioning (by range, list and hash)none
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
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 ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
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.yesyesnonoyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache IoTDBLeanXcaleMaxDB infoformerly named Adabas-DopenGaussTimesTen
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