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DBMS > Citus vs. Hive vs. NCache vs. PostGIS

System Properties Comparison Citus vs. Hive vs. NCache vs. PostGIS

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonHive  Xexclude from comparisonNCache  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 HadoopOpen-Source and Enterprise in-memory Key-Value StoreSpatial extension of PostgreSQL
Primary database modelRelational DBMSRelational DBMSKey-value storeSpatial DBMS
Secondary database modelsDocument storeDocument store
Search engine infoUsing distributed Lucene
Relational 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
Score0.98
Rank#196  Overall
#29  Key-value stores
Score23.90
Rank#29  Overall
#1  Spatial DBMS
Websitewww.citusdata.comhive.apache.orgwww.alachisoft.com/­ncachepostgis.net
Technical documentationdocs.citusdata.comcwiki.apache.org/­confluence/­display/­Hive/­Homewww.alachisoft.com/­resources/­docspostgis.net/­documentation
DeveloperApache Software Foundation infoinitially developed by FacebookAlachisoft
Initial release2010201220052005
Current release8.1, December 20183.1.3, April 20225.3.3, April 20243.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2Open Source infoEnterprise Edition 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#, .NET, .NET Core, JavaC
Server operating systemsLinuxAll OS with a Java VMLinux
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes
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 functionalitynoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like DML and DDL statementsSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
PHP
Python
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
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-reduceno infosupport for stored procedures with SQL-Server CLRuser defined functions
Triggersyesnoyes infoNotificationsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factoryes, with selectable consistency levelyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic locking and pessimistic lockingACID
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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)yes infobased on PostgreSQL
More information provided by the system vendor
CitusHiveNCachePostGIS
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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CitusHiveNCachePostGIS
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