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

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

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonIngres  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.Well established RDBMSOpen-Source and Enterprise in-memory Key-Value Store
Primary database modelDocument storeDocument storeRelational DBMSKey-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
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.94
Rank#195  Overall
#29  Key-value stores
Websitegithub.com/­Softmotions/­ejdbfirebase.google.com/­products/­firestorewww.actian.com/­databases/­ingreswww.alachisoft.com/­ncache
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdfirebase.google.com/­docs/­firestoredocs.actian.com/­ingreswww.alachisoft.com/­resources/­docs
DeveloperSoftmotionsGoogleActian CorporationAlachisoft
Initial release201220171974 infooriginally developed at University Berkely in early 1970s2005
Current release11.2, May 20225.3.3, April 2024
License infoCommercial or Open SourceOpen Source infoGPLv2commercialcommercialOpen 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-lesshostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyespartial 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 infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoyesSQL-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
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
IDistributedCache
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
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsyesno infosupport for stored procedures with SQL-Server CLR
Triggersnoyes, with Cloud Functionsyesyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationIngres Replicatoryes, 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 ConsistencyImmediate 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 possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDoptimistic locking and pessimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyes infoMVCCyes
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.noyes
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.fine grained access rights according to SQL-standardAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
EJDBGoogle Cloud FirestoreIngresNCache
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 FirestoreIngresNCache
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