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DBMS > CouchDB vs. HBase vs. Prometheus vs. Teradata

System Properties Comparison CouchDB vs. HBase vs. Prometheus vs. Teradata

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonHBase  Xexclude from comparisonPrometheus  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Wide-column store based on Apache Hadoop and on concepts of BigTableOpen-source Time Series DBMS and monitoring systemA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument storeWide column storeTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.30
Rank#47  Overall
#7  Document stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitecouchdb.apache.orghbase.apache.orgprometheus.iowww.teradata.com
Technical documentationdocs.couchdb.org/­en/­stablehbase.apache.org/­book.htmlprometheus.io/­docsdocs.teradata.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerApache Software Foundation infoApache top-level project, originally developed by PowersetTeradata
Initial release2005200820151984
Current release3.3.3, December 20232.3.4, January 2021Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache version 2Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJavaGo
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
Linux
Windows
hosted
Linux
Data schemeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or datenooptions to bring your own types, AVRONumeric data onlyyes
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 infoImport of XML data possibleyes
Secondary indexesyes infovia viewsnonoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnononoyes infoSQL 2016 + extensions
APIs and other access methodsRESTful HTTP/JSON APIJava API
RESTful HTTP API
Thrift
RESTful HTTP/JSON API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresView functions in JavaScriptyes infoCoprocessors in Javanoyes infoUDFs, stored procedures, table functions in parallel
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0ShardingShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
yes infoby FederationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnofine grained access rights according to SQL-standard

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