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DBMS > AntDB vs. CouchDB vs. Dgraph vs. Google Cloud Bigtable

System Properties Comparison AntDB vs. CouchDB vs. Dgraph vs. Google Cloud Bigtable

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Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDgraph  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Distributed and scalable native Graph DBMSGoogle'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 modelRelational DBMSDocument storeGraph DBMSKey-value store
Wide column store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#342  Overall
#149  Relational DBMS
Score7.46
Rank#51  Overall
#7  Document stores
Score1.39
Rank#155  Overall
#15  Graph DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlcouchdb.apache.orgdgraph.iocloud.google.com/­bigtable
Technical documentationdocs.couchdb.org/­en/­stabledgraph.io/­docscloud.google.com/­bigtable/­docs
DeveloperAsiaInfo Technologies LimitedApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDgraph Labs, Inc.Google
Initial release200520162015
Current release3.3.3, December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache 2.0commercial
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.
Implementation languageErlangGo
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
hosted
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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 indexesyesyes infovia viewsyesno
SQL infoSupport of SQLSQL2016 compliantnonono
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
RESTful HTTP/JSON APIGraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresView functions in JavaScriptnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0yesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Synchronous replication via RaftInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACIDAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
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.yesnono
User concepts infoAccess controlAccess rights for users can be defined per databaseno infoPlanned for future releasesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
AntDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DgraphGoogle Cloud Bigtable
DB-Engines blog posts

AntDB: Answer to Database Evolution - Hyperconverged All-in-One Streaming Engine
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