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DBMS > FatDB vs. NCache vs. OrigoDB vs. PouchDB vs. Spark SQL

System Properties Comparison FatDB vs. NCache vs. OrigoDB vs. PouchDB vs. Spark SQL

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonNCache  Xexclude from comparisonOrigoDB  Xexclude from comparisonPouchDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Open-Source and Enterprise in-memory Key-Value StoreA fully ACID in-memory object graph databaseJavaScript DBMS with an API inspired by CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Key-value store
Key-value storeDocument store
Object oriented DBMS
Document storeRelational DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#195  Overall
#29  Key-value stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.alachisoft.com/­ncacheorigodb.compouchdb.comspark.apache.org/­sql
Technical documentationwww.alachisoft.com/­resources/­docsorigodb.com/­docspouchdb.com/­guidesspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFatCloudAlachisoftRobert Friberg et alApache Software FoundationApache Software Foundation
Initial release201220052009 infounder the name LiveDB20122014
Current release5.3.3, April 20247.1.1, June 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoEnterprise Edition availableOpen SourceOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C#, .NET, .NET Core, JavaC#JavaScriptScala
Server operating systemsWindowsLinux
Windows
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and CounterUser defined using .NET types and collectionsnoyes
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.nono infocan be achieved using .NETnono
Secondary indexesyesyesyesyes infovia viewsno
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.nonoSQL-like DML and DDL statements
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
IDistributedCache
JCache
LINQ
Proprietary native API
.NET Client API
HTTP API
LINQ
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
Supported programming languagesC#.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
.NetJavaScriptJava
Python
R
Scala
Server-side scripts infoStored proceduresyes infovia applicationsno infosupport for stored procedures with SQL-Server CLRyesView functions in JavaScriptno
Triggersyes infovia applicationsyes infoNotificationsyes infoDomain Eventsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyeshorizontal partitioning infoclient side managed; servers are not synchronizedSharding infowith a proxy-based framework, named couchdb-loungeyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, with selectable consistency levelSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Eventual Consistency
Foreign keys infoReferential integritynonodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking and pessimistic lockingACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Role based authorizationnono
More information provided by the system vendor
FatDBNCacheOrigoDBPouchDBSpark SQL
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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More resources
FatDBNCacheOrigoDBPouchDBSpark SQL
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