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DBMS > CouchDB vs. GBase vs. Google Cloud Bigtable vs. LeanXcale

System Properties Comparison CouchDB vs. GBase vs. Google Cloud Bigtable vs. LeanXcale

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGBase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelDocument storeRelational DBMSKey-value store
Wide column store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.30
Rank#45  Overall
#7  Document stores
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Websitecouchdb.apache.orgwww.gbase.cncloud.google.com/­bigtablewww.leanxcale.com
Technical documentationdocs.couchdb.org/­en/­stablecloud.google.com/­bigtable/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGeneral Data Technology Co., Ltd.GoogleLeanXcale
Initial release2005200420152015
Current release3.3.3, December 2023GBase 8a, GBase 8s, GBase 8c
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC, Java, Python
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
Linuxhosted
Data schemeschema-freeyesschema-freeyes
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.noyesno
Secondary indexesyes infovia viewsyesno
SQL infoSupport of SQLnoStandard with numerous extensionsnoyes infothrough Apache Derby
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
C API
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C#C#
C++
Go
Java
JavaScript (Node.js)
Python
C
Java
Scala
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 2.0horizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDAtomic single-row operationsACID
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.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"GBaseGoogle Cloud BigtableLeanXcale
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