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DBMS > Altibase vs. Apache IoTDB vs. CouchDB vs. EsgynDB vs. MonetDB

System Properties Comparison Altibase vs. Apache IoTDB vs. CouchDB vs. EsgynDB vs. MonetDB

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache IoTDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonEsgynDB  Xexclude from comparisonMonetDB  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 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 TrafodionA relational database management system that stores data in columns
Primary database modelRelational DBMSTime Series DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
Spatial 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
Score9.30
Rank#45  Overall
#7  Document stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitealtibase.comiotdb.apache.orgcouchdb.apache.orgwww.esgyn.cnwww.monetdb.org
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.couchdb.org/­en/­stablewww.monetdb.org/­Documentation
DeveloperAltibaseApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerEsgynMonetDB BV
Initial release19992018200520152004
Current releasev7.3, 2023, August 20231.1.0, April 20233.3.3, December 2023Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2.0Open Source infoApache version 2commercialOpen Source infoMozilla Public License 2.0
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++JavaErlangC++, JavaC
Server operating systemsAIX
HP-UX
Linux
All OS with a Java VM (>= 1.8)Android
BSD
Linux
OS X
Solaris
Windows
LinuxFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesyesyesyes infovia viewsyesyes
SQL infoSupport of SQLANSI SQL-92SQL-like query languagenoyesyes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
Native API
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC
C++
Java
C
C#
C++
Go
Java
Python
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
All languages supporting JDBC/ODBC/ADO.NetC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresstored procedures and stored functionsyesView functions in JavaScriptJava Stored Proceduresyes, in SQL, C, R
Triggersyesyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infoimproved architecture with release 2.0ShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparkyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoatomic operations within a single document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyesyes
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 rights for users can be defined per databasefine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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AltibaseApache IoTDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"EsgynDBMonetDB
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