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DBMS > CouchDB vs. Fujitsu Enterprise Postgres vs. VictoriaMetrics vs. YottaDB

System Properties Comparison CouchDB vs. Fujitsu Enterprise Postgres vs. VictoriaMetrics vs. YottaDB

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonVictoriaMetrics  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A fast, cost-effective and scalable Time Series DBMS and monitoring solutionA fast and solid embedded Key-value store
Primary database modelDocument storeRelational DBMSTime Series DBMSKey-value store
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
Spatial DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.30
Rank#45  Overall
#7  Document stores
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitecouchdb.apache.orgwww.postgresql.fastware.comvictoriametrics.comyottadb.com
Technical documentationdocs.couchdb.org/­en/­stablewww.postgresql.fastware.com/­product-manualsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
yottadb.com/­resources/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyVictoriaMetricsYottaDB, LLC
Initial release200520182001
Current release3.3.3, December 2023Fujitsu Enterprise Postgres 14, January 2022v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache Version 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangCGoC
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
Windows
FreeBSD
Linux
macOS
OpenBSD
Docker
Linux
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesno
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
Secondary indexesyes infovia viewsyesno
SQL infoSupport of SQLnoyesnoby using the Octo plugin
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresView functions in JavaScriptuser defined functionsno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0partitioning by range, list and by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationSynchronous replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyes, multi-version concurrency control (MVCC)yes
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.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms
More information provided by the system vendor
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Fujitsu Enterprise PostgresVictoriaMetricsYottaDB
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Fujitsu Enterprise PostgresVictoriaMetricsYottaDB
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