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DBMS > AntDB vs. CouchDB vs. Firebase Realtime Database vs. Hive vs. Microsoft Azure SQL Database

System Properties Comparison AntDB vs. CouchDB vs. Firebase Realtime Database vs. Hive vs. Microsoft Azure SQL Database

Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  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.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.data warehouse software for querying and managing large distributed datasets, built on HadoopDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMSDocument storeDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#303  Overall
#137  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score14.29
Rank#39  Overall
#6  Document stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlcouchdb.apache.orgfirebase.google.com/­products/­realtime-databasehive.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdocs.couchdb.org/­en/­stablefirebase.google.com/­docs/­databasecwiki.apache.org/­confluence/­display/­Hive/­Homedocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperAsiaInfo Technologies LimitedApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogle infoacquired by Google 2014Apache Software Foundation infoinitially developed by FacebookMicrosoft
Initial release2005201220122010
Current release3.3.3, December 20233.1.3, April 2022V12
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangJavaC++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hostedAll OS with a Java VMhosted
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyes
Secondary indexesyesyes infovia viewsyesyesyes
SQL infoSupport of SQLSQL2016 compliantnonoSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
RESTful HTTP/JSON APIAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Java
JavaScript
Objective-C
C++
Java
PHP
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresView functions in JavaScriptlimited functionality with using 'rules'yes infouser defined functions and integration of map-reduceTransact SQL
TriggersyesyesCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factoryes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users can be defined per databaseyes, based on authentication and database rulesAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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More resources
AntDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Firebase Realtime DatabaseHiveMicrosoft Azure SQL Database infoformerly SQL Azure
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