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DBMS > Firebase Realtime Database vs. Google BigQuery vs. Hawkular Metrics vs. LokiJS vs. Microsoft Access

System Properties Comparison Firebase Realtime Database vs. Google BigQuery vs. Hawkular Metrics vs. LokiJS vs. Microsoft Access

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHawkular Metrics  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.Large scale data warehouse service with append-only tablesHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.In-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 storeRelational DBMSTime Series DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.07
Rank#38  Overall
#6  Document stores
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score0.07
Rank#366  Overall
#38  Time Series DBMS
Score0.52
Rank#259  Overall
#41  Document stores
Score107.93
Rank#11  Overall
#8  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasecloud.google.com/­bigquerywww.hawkular.orggithub.com/­techfort/­LokiJSwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationfirebase.google.com/­docs/­databasecloud.google.com/­bigquery/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidetechfort.github.io/­LokiJSdeveloper.microsoft.com/­en-us/­access
DeveloperGoogle infoacquired by Google 2014GoogleCommunity supported by Red HatMicrosoft
Initial release20122010201420141992
Current release1902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Sourcecommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScriptC++
Server operating systemshostedhostedLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Windows infoNot a real database server, but making use of DLLs
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nononono
Secondary indexesyesnonoyes infovia viewsyes
SQL infoSupport of SQLnoyesnonoyes infobut not compliant to any SQL standard
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP/JSON APIHTTP RESTJavaScript APIADO.NET
DAO
ODBC
OLE DB
Supported programming languagesJava
JavaScript
Objective-C
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Go
Java
Python
Ruby
JavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored procedureslimited functionality with using 'rules'user defined functions infoin JavaScriptnoView functions in JavaScriptyes infosince Access 2010 using the ACE-engine
TriggersCallbacks are triggered when data changesnoyes infovia Hawkular Alertingyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandranonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandranonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
none
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoSince BigQuery is designed for querying datanono infoatomic operations within a single collection possibleACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.nonoyes
User concepts infoAccess controlyes, based on authentication and database rulesAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)nonono infoa simple user-level security was built in till version Access 2003

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Firebase Realtime DatabaseGoogle BigQueryHawkular MetricsLokiJSMicrosoft Access
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