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DBMS > Altibase vs. Apache IoTDB vs. Apache Jena - TDB vs. CouchDB vs. EsgynDB

System Properties Comparison Altibase vs. Apache IoTDB vs. Apache Jena - TDB vs. CouchDB vs. EsgynDB

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache IoTDB  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonEsgynDB  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 FlinkA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion
Primary database modelRelational DBMSTime Series DBMSRDF storeDocument storeRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
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
Score3.75
Rank#84  Overall
#3  RDF stores
Score9.30
Rank#45  Overall
#7  Document stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Websitealtibase.comiotdb.apache.orgjena.apache.org/­documentation/­tdb/­index.htmlcouchdb.apache.orgwww.esgyn.cn
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmljena.apache.org/­documentation/­tdb/­index.htmldocs.couchdb.org/­en/­stable
DeveloperAltibaseApache Software FoundationApache Software Foundation infooriginally developed by HP LabsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerEsgyn
Initial release19992018200020052015
Current releasev7.3, 2023, August 20231.1.0, April 20234.9.0, July 20233.3.3, December 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2.0Open Source infoApache License, Version 2.0Open Source infoApache version 2commercial
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++JavaJavaErlangC++, Java
Server operating systemsAIX
HP-UX
Linux
All OS with a Java VM (>= 1.8)All OS with a Java VMAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesyes infoRDF Schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 infovia viewsyes
SQL infoSupport of SQLANSI SQL-92SQL-like query languagenonoyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
Native API
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Java
C
C#
C++
Go
Java
Python
Scala
JavaC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresstored procedures and stored functionsyesyesView functions in JavaScriptJava Stored Procedures
Triggersyesyesyes infovia event handleryesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding infoimproved architecture with release 2.0Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneMulti-source replication
Source-replica replication
Multi-source replication between multi datacenters
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoTDB Transactionsno infoatomic operations within a single document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infostrategy: optimistic lockingyes
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
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess control via Jena SecurityAccess rights for users can be defined per databasefine grained access rights according to SQL-standard

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More resources
AltibaseApache IoTDBApache Jena - TDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"EsgynDB
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