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DBMS > EJDB vs. Google Cloud Firestore vs. Memcached vs. NCache

System Properties Comparison EJDB vs. Google Cloud Firestore vs. Memcached vs. NCache

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMemcached  Xexclude from comparisonNCache  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.In-memory key-value store, originally intended for cachingOpen-Source and Enterprise in-memory Key-Value Store
Primary database modelDocument storeDocument storeKey-value storeKey-value store
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score7.85
Rank#51  Overall
#8  Document stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.94
Rank#195  Overall
#29  Key-value stores
Websitegithub.com/­Softmotions/­ejdbfirebase.google.com/­products/­firestorewww.memcached.orgwww.alachisoft.com/­ncache
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdfirebase.google.com/­docs/­firestoregithub.com/­memcached/­memcached/­wikiwww.alachisoft.com/­resources/­docs
DeveloperSoftmotionsGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalAlachisoft
Initial release2012201720032005
Current release1.6.25, March 20245.3.3, April 2024
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoBSD licenseOpen Source infoEnterprise Edition available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCC#, .NET, .NET Core, Java
Server operating systemsserver-lesshostedFreeBSD
Linux
OS X
Unix
Windows
Linux
Windows
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesnopartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counter
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
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnononoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsin-process shared libraryAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Proprietary protocolIDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsnono infosupport for stored procedures with SQL-Server CLR
Triggersnoyes, with Cloud Functionsnoyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationnone infoRepcached, a Memcached patch, provides this functionallityyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownoyes
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
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnooptimistic locking and pessimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yes infousing SASL (Simple Authentication and Security Layer) protocolAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
EJDBGoogle Cloud FirestoreMemcachedNCache
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
EJDBGoogle Cloud FirestoreMemcachedNCache
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