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DBMS > Altibase vs. Apache IoTDB vs. ArcadeDB vs. EsgynDB vs. Tibero

System Properties Comparison Altibase vs. Apache IoTDB vs. ArcadeDB vs. EsgynDB vs. Tibero

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache IoTDB  Xexclude from comparisonArcadeDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAn 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 rewrittenEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.02
Rank#366  Overall
#50  Document stores
#38  Graph DBMS
#53  Key-value stores
#36  Time Series DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitealtibase.comiotdb.apache.orgarcadedb.comwww.esgyn.cnus.tmaxsoft.com/­products/­tibero
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.arcadedb.comtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperAltibaseApache Software FoundationArcade DataEsgynTmaxSoft
Initial release19992018202120152003
Current releasev7.3, 2023, August 20231.1.0, April 2023September 20216, April 2015
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2.0Open Source infoApache Version 2.0commercialcommercial
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 languageC++JavaJavaC++, JavaC and Assembler
Server operating systemsAIX
HP-UX
Linux
All OS with a Java VM (>= 1.8)All OS with a Java VMLinuxAIX
HP-UX
Linux
Solaris
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.nonononoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLANSI SQL-92SQL-like query languageSQL-like query language, no joinsyesyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
Native API
JDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC
C++
Java
C
C#
C++
Go
Java
Python
Scala
JavaAll languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresstored procedures and stored functionsyesJava Stored ProceduresPersistent Stored Procedure (PSM)
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardinghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes inforelationship in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesnono infoplanned for next version
User concepts infoAccess controlfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
AltibaseApache IoTDBArcadeDBEsgynDBTibero
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