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DBMS > Couchbase vs. Dgraph vs. EsgynDB vs. Google Cloud Bigtable

System Properties Comparison Couchbase vs. Dgraph vs. EsgynDB vs. Google Cloud Bigtable

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Editorial information provided by DB-Engines
NameCouchbase infoOriginally called Membase  Xexclude from comparisonDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionJSON-based document store derived from CouchDB with a Memcached-compatible interfaceDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelDocument storeGraph DBMSRelational DBMSWide column store
Secondary database modelsKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score29.07
Rank#28  Overall
#4  Document stores
Score1.71
Rank#131  Overall
#11  Graph DBMS
Score0.26
Rank#274  Overall
#127  Relational DBMS
Score3.58
Rank#88  Overall
#7  Wide column stores
Websitewww.couchbase.comdgraph.iowww.esgyn.cncloud.google.com/­bigtable
Technical documentationdocs.couchbase.comdgraph.io/­docscloud.google.com/­bigtable/­docs
DeveloperCouchbase, Inc.Dgraph Labs, Inc.EsgynGoogle
Initial release2011201620152015
Current releaseServer: 6.5, January 2020; Mobile: 2.7, January 2020; Couchbase Autonomous Operator: 1.2, May 2019
License infoCommercial or Open SourceOpen Source infoApache version 2; Commercial licenses also availableOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Couchbase Cloud: Deploy, manage, and operate Couchbase in a few clicks
Implementation languageC, C++, Go and ErlangGoC++, Java
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linuxhosted
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infoString, Boolean, Numberyesyesno
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 indexesyesyesyesno
SQL infoSupport of SQLDeclarative query language (N1QL) that extends ANSI SQL to JSON. First commercial implementation of SQL++.noyesno
APIs and other access methodsNative language bindings for CRUD, Query, Search and Analytics APIsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languages.Net
C
Clojure
ColdFusion
Erlang
Go
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresFunctions and timers in JavaScriptnoJava Stored Proceduresno
Triggersyes infovia the TAP protocolnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoincluding cross data center replication
Source-replica replication
Synchronous replication via RaftMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Immediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yes infoEphemeral bucketsnono
User concepts infoAccess controlUser and Administrator separation with password-based and LDAP integrated Authenticationno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
More information provided by the system vendor
Couchbase infoOriginally called MembaseDgraphEsgynDBGoogle Cloud Bigtable
Specific characteristicsDeveloped as an alternative to traditionally inflexible relational databases, Couchbase...
» more
Competitive advantagesCouchbase was architected with several differentiated capabilities: Shared-nothing,...
» more
Horizontally scalable transactional graph database with fast arbitrary-depth joins...
» more
Typical application scenariosCustomer 360 for user profile, session store and data aggregation (Comcast, Equifax,...
» more
Key customersAmadeus, AT&T, BD (Becton, Dickinson and Company), Carrefour, Cisco, Comcast, Disney,...
» more
Market metricsNamed a leader in the Forrester Wave™: Big Data NoSQL, Q1 2019 Over 10M downloads...
» more
Licensing and pricing modelsThe Community Edition (CE) of Couchbase Server and Couchbase Mobile are available...
» more

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More resources
Couchbase infoOriginally called MembaseDgraphEsgynDBGoogle Cloud Bigtable
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