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DBMS > Firebase Realtime Database vs. Google BigQuery vs. ObjectBox vs. SQream DB vs. Yanza

System Properties Comparison Firebase Realtime Database vs. Google BigQuery vs. ObjectBox vs. SQream DB vs. Yanza

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonObjectBox  Xexclude from comparisonSQream DB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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 tablesExtremely fast embedded database for small devices, IoT and Mobilea GPU-based, columnar RDBMS for big data analytics workloadsTime Series DBMS for IoT Applications
Primary database modelDocument storeRelational DBMSObject oriented DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime Series 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
Score1.42
Rank#169  Overall
#5  Object oriented DBMS
Score0.72
Rank#235  Overall
#108  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasecloud.google.com/­bigqueryobjectbox.iosqream.comyanza.com
Technical documentationfirebase.google.com/­docs/­databasecloud.google.com/­bigquery/­docsdocs.objectbox.iodocs.sqream.com
DeveloperGoogle infoacquired by Google 2014GoogleObjectBox LimitedSQream TechnologiesYanza
Initial release20122010201720172015
Current release2022.1.6, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache License 2.0commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++, CUDA, Haskell, Java, Scala
Server operating systemshostedhostedAndroid
iOS
Linux
macOS
Windows
LinuxWindows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Typesno
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 indexesyesnoyesnono
SQL infoSupport of SQLnoyesnoyesno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP/JSON APIProprietary native API.Net
JDBC
ODBC
HTTP API
Supported programming languagesJava
JavaScript
Objective-C
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++
Java
JavaScript (Node.js)
Python
any language that supports HTTP calls
Server-side scripts infoStored procedureslimited functionality with using 'rules'user defined functions infoin JavaScriptnouser defined functions in Pythonno
TriggersCallbacks are triggered when data changesnononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesonline/offline synchronization between client and servernonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoSince BigQuery is designed for querying dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
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)yesno
More information provided by the system vendor
Firebase Realtime DatabaseGoogle BigQueryObjectBoxSQream DBYanza
News

In-Memory Database Use Cases
15 February 2024

Data Viewer for Objects – announcing ObjectBox Admin
14 November 2023

Vector Databases for Edge AI
9 August 2023

Vector Database Release for Flutter / Dart + Python
13 June 2023

SQLite and SQLite alternatives – a comprehensive overview
7 June 2023

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More resources
Firebase Realtime DatabaseGoogle BigQueryObjectBoxSQream DBYanza
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