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DBMS > FeatureBase vs. Firebase Realtime Database vs. NCache vs. Postgres-XL

System Properties Comparison FeatureBase vs. Firebase Realtime Database vs. NCache vs. Postgres-XL

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonNCache  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Open-Source and Enterprise in-memory Key-Value StoreBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSDocument storeKey-value storeRelational DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.96
Rank#195  Overall
#29  Key-value stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitewww.featurebase.comfirebase.google.com/­products/­realtime-databasewww.alachisoft.com/­ncachewww.postgres-xl.org
Technical documentationdocs.featurebase.comfirebase.google.com/­docs/­databasewww.alachisoft.com/­resources/­docswww.postgres-xl.org/­documentation
DeveloperMolecula and Pilosa Open Source ContributorsGoogle infoacquired by Google 2014Alachisoft
Initial release2017201220052014 infosince 2012, originally named StormDB
Current release2022, May 20225.3.3, April 202410 R1, October 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEnterprise Edition availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC#, .NET, .NET Core, JavaC
Server operating systemsLinux
macOS
hostedLinux
Windows
Linux
macOS
Data schemeyesschema-freeschema-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.nononoyes infoXML type, but no XML query functionality
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL queriesnoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yes infodistributed, parallel query execution
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
IDistributedCache
JCache
LINQ
Proprietary native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
Python
Java
JavaScript
Objective-C
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored procedureslimited functionality with using 'rules'no infosupport for stored procedures with SQL-Server CLRuser defined functions
TriggersnoCallbacks are triggered when data changesyes infoNotificationsyes
Partitioning methods infoMethods for storing different data on different nodesShardingyeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual 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 datayesyesoptimistic locking and pessimistic lockingACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlyes, based on authentication and database rulesAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)fine grained access rights according to SQL-standard
More information provided by the system vendor
FeatureBaseFirebase Realtime DatabaseNCachePostgres-XL
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
FeatureBaseFirebase Realtime DatabaseNCachePostgres-XL
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