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DBMS > Citus vs. Hive vs. Oracle Berkeley DB vs. PostGIS

System Properties Comparison Citus vs. Hive vs. Oracle Berkeley DB vs. PostGIS

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonHive  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLdata warehouse software for querying and managing large distributed datasets, built on HadoopWidely used in-process key-value storeSpatial extension of PostgreSQL
Primary database modelRelational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Spatial DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#123  Overall
#60  Relational DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score2.52
Rank#114  Overall
#20  Key-value stores
#3  Native XML DBMS
Score23.90
Rank#29  Overall
#1  Spatial DBMS
Websitewww.citusdata.comhive.apache.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlpostgis.net
Technical documentationdocs.citusdata.comcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.oracle.com/­cd/­E17076_05/­html/­index.htmlpostgis.net/­documentation
DeveloperApache Software Foundation infoinitially developed by FacebookOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2010201219942005
Current release8.1, December 20183.1.3, April 202218.1.40, May 20203.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2Open Source infocommercial license availableOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC, Java, C++ (depending on the Berkeley DB edition)C
Server operating systemsLinuxAll OS with a Java VMAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yes infospecific XML type available, but no XML query functionalityyes infoonly with the Berkeley DB XML editionyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like DML and DDL statementsyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
PHP
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infouser defined functions and integration of map-reducenouser defined functions
Triggersyesnoyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factorSource-replica replicationyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesnoyes infobased on PostgreSQL

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CitusHiveOracle Berkeley DBPostGIS
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