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DBMS > Citus vs. jBASE vs. NCache vs. PouchDB

System Properties Comparison Citus vs. jBASE vs. NCache vs. PouchDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonjBASE  Xexclude from comparisonNCache  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA robust multi-value DBMS comprising development tools and middlewareOpen-Source and Enterprise in-memory Key-Value StoreJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSMultivalue DBMSKey-value storeDocument store
Secondary database modelsDocument storeDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.94
Rank#195  Overall
#29  Key-value stores
Score2.28
Rank#115  Overall
#21  Document stores
Websitewww.citusdata.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.alachisoft.com/­ncachepouchdb.com
Technical documentationdocs.citusdata.comdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9www.alachisoft.com/­resources/­docspouchdb.com/­guides
DeveloperRocket Software (formerly Zumasys)AlachisoftApache Software Foundation
Initial release2010199120052012
Current release8.1, December 20185.75.3.3, April 20247.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoEnterprise Edition availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC#, .NET, .NET Core, JavaJavaScript
Server operating systemsLinuxAIX
Linux
Windows
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptionalpartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counterno
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 functionalityyesnono
Secondary indexesyesyesyes infovia views
SQL infoSupport of SQLyes infostandard, with numerous extensionsEmbedded SQL for jBASE in BASICSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.no
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
IDistributedCache
JCache
LINQ
Proprietary native API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Basic
Jabbascript
Java
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
JavaScript
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesno infosupport for stored procedures with SQL-Server CLRView functions in JavaScript
Triggersyesyesyes infoNotificationsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyesyes, with selectable consistency levelMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Eventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic locking and pessimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)no
More information provided by the system vendor
CitusjBASENCachePouchDB
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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CitusjBASENCachePouchDB
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