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DBMS > Apache IoTDB vs. ArcadeDB vs. Interbase vs. Kyligence Enterprise vs. TimesTen

System Properties Comparison Apache IoTDB vs. ArcadeDB vs. Interbase vs. Kyligence Enterprise vs. TimesTen

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonArcadeDB  Xexclude from comparisonInterbase  Xexclude from comparisonKyligence Enterprise  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 FlinkFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenLight-weight proven RDBMS infooriginally from BorlandA distributed analytics engine for big data, built on top of Apache KylinIn-Memory RDBMS compatible to Oracle
Primary database modelTime Series DBMSDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
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
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websiteiotdb.apache.orgarcadedb.comwww.embarcadero.com/­products/­interbasekyligence.io/­kyligence-enterprisewww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.arcadedb.comdocs.embarcadero.com/­products/­interbasedocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software FoundationArcade DataEmbarcaderoKyligence, Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20182021198420161998
Current release1.1.0, April 2023September 2021InterBase 2020, December 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialcommercialcommercial
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 languageJavaJavaCJava
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMAndroid
iOS
Linux
OS X
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyesyesyes
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.nonono infoexport as XML data possiblenono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language, no joinsyesANSI SQL for queries (using Apache Calcite)yes
APIs and other access methodsJDBC
Native API
JDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesyes infoInterbase procedure and trigger languagePL/SQL
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonenone
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 replicationInterbase Change ViewsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyesno
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 integritynoyes inforelationship in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
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.yesyesnoyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache IoTDBArcadeDBInterbaseKyligence EnterpriseTimesTen
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