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DBMS > Apache IoTDB vs. Atos Standard Common Repository vs. Interbase vs. Kyligence Enterprise vs. MaxDB

System Properties Comparison Apache IoTDB vs. Atos Standard Common Repository vs. Interbase vs. Kyligence Enterprise vs. MaxDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonInterbase  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparison
This system has been discontinued and will be 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 FlinkHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksLight-weight proven RDBMS infooriginally from BorlandA distributed analytics engine for big data, built on top of Apache KylinA robust and reliable RDBMS optimized to run all major SAP solutions
Primary database modelTime Series DBMSDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score2.26
Rank#114  Overall
#55  Relational DBMS
Websiteiotdb.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.embarcadero.com/­products/­interbasekyligence.io/­kyligence-enterprisemaxdb.sap.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.embarcadero.com/­products/­interbasemaxdb.sap.com/­documentation
DeveloperApache Software FoundationAtos Convergence CreatorsEmbarcaderoKyligence, Inc.SAP, acquired from Software AG (Adabas-D) in 1997
Initial release20182016198420161984
Current release1.1.0, April 20231703InterBase 2020, December 20197.9.10.12, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialcommercial infoLimited community edition free
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 languageJavaJavaCJavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxAndroid
iOS
Linux
OS X
Windows
LinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesno infoexport as XML data possiblenono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyesANSI SQL for queries (using Apache Calcite)yes
APIs and other access methodsJDBC
Native API
LDAPADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
WebDAV
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
All languages with LDAP bindings.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C#
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresyesnoyes infoInterbase procedure and trigger languageyes
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infocell divisionnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesInterbase Change ViewsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnono
User concepts infoAccess controlyesLDAP bind authenticationfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache IoTDBAtos Standard Common RepositoryInterbaseKyligence EnterpriseMaxDB infoformerly named Adabas-D
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