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DBMS > Badger vs. Hive vs. IBM Cloudant vs. PostgreSQL

System Properties Comparison Badger vs. Hive vs. IBM Cloudant vs. PostgreSQL

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHive  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.data warehouse software for querying and managing large distributed datasets, built on HadoopDatabase as a Service offering based on Apache CouchDBWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelKey-value storeRelational DBMSDocument storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerhive.apache.orgwww.ibm.com/­products/­cloudantwww.postgresql.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercwiki.apache.org/­confluence/­display/­Hive/­Homecloud.ibm.com/­docs/­Cloudantwww.postgresql.org/­docs
DeveloperDGraph LabsApache Software Foundation infoinitially developed by FacebookIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2017201220101989 info1989: Postgres, 1996: PostgreSQL
Current release3.1.3, April 202216.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaErlangC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMhostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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 infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes infostandard with numerous extensions
APIs and other access methodsJDBC
ODBC
Thrift
RESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGoC++
Java
PHP
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceView functions (Map-Reduce) in JavaScriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorMulti-source replication
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
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.nonono
User concepts infoAccess controlnoAccess rights for users, groups and rolesAccess rights for users can be defined per databasefine grained access rights according to SQL-standard

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