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DBMS > CouchDB vs. Fujitsu Enterprise Postgres vs. Google Cloud Datastore vs. PouchDB vs. RavenDB

System Properties Comparison CouchDB vs. Fujitsu Enterprise Postgres vs. Google Cloud Datastore vs. PouchDB vs. RavenDB

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonPouchDB  Xexclude from comparisonRavenDB  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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformJavaScript DBMS with an API inspired by CouchDBOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument storeRelational DBMSDocument storeDocument storeDocument store
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
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
Score4.47
Rank#76  Overall
#12  Document stores
Score2.28
Rank#115  Overall
#21  Document stores
Score2.92
Rank#101  Overall
#18  Document stores
Websitecouchdb.apache.orgwww.postgresql.fastware.comcloud.google.com/­datastorepouchdb.comravendb.net
Technical documentationdocs.couchdb.org/­en/­stablewww.postgresql.fastware.com/­product-manualscloud.google.com/­datastore/­docspouchdb.com/­guidesravendb.net/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGoogleApache Software FoundationHibernating Rhinos
Initial release2005200820122010
Current release3.3.3, December 2023Fujitsu Enterprise Postgres 14, January 20227.1.1, June 20195.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialOpen SourceOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangCJavaScriptC#
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyes, details herenono
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 viewsyesyesyes infovia viewsyes
SQL infoSupport of SQLnoyesSQL-like query language (GQL)noSQL-like query language (RQL)
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
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
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresView functions in JavaScriptuser defined functionsusing Google App EngineView functions in JavaScriptyes
TriggersyesyesCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0partitioning by range, list and by hashShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication using PaxosMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infousing Google Cloud Dataflowyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyesyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
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-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noAuthorization levels configured per client per database
More information provided by the system vendor
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Fujitsu Enterprise PostgresGoogle Cloud DatastorePouchDBRavenDB
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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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Fujitsu Enterprise PostgresGoogle Cloud DatastorePouchDBRavenDB
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