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DBMS > Firebase Realtime Database vs. Google Cloud Datastore vs. LokiJS vs. Microsoft Access

System Properties Comparison Firebase Realtime Database vs. Google Cloud Datastore vs. LokiJS vs. Microsoft Access

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NameFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformIn-memory JavaScript DBMSMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelDocument storeDocument storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.61
Rank#36  Overall
#6  Document stores
Score5.79
Rank#65  Overall
#11  Document stores
Score0.53
Rank#222  Overall
#32  Document stores
Score118.45
Rank#11  Overall
#7  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasecloud.google.com/­datastoregithub.com/­techfort/­LokiJSwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationfirebase.google.com/­docs/­databasecloud.google.com/­datastore/­docstechfort.github.io/­LokiJSdeveloper.microsoft.com/­en-us/­access
DeveloperGoogle infoacquired by Google 2014GoogleMicrosoft
Initial release2012200820141992
Current release1902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++
Server operating systemshostedhostedserver-less, requires a JavaScript environment (browser, Node.js)Windows infoNot a real database server, but making use of DLLs
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes, details herenoyes
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.nonono
Secondary indexesyesyesyes infovia viewsyes
SQL infoSupport of SQLnoSQL-like query language (GQL)noyes infobut not compliant to any SQL standard
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JavaScript APIADO.NET
DAO
ODBC
OLE DB
Supported programming languagesJava
JavaScript
Objective-C
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored procedureslimited functionality with using 'rules'using Google App EngineView functions in JavaScriptyes infosince Access 2010 using the ACE-engine
TriggersCallbacks are triggered when data changesCallbacks using the Google Apps Engineyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.none
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno infoatomic operations within a single collection possibleACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nono infoa simple user-level security was built in till version Access 2003

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Firebase Realtime DatabaseGoogle Cloud DatastoreLokiJSMicrosoft Access
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