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DBMS > Firebase Realtime Database vs. GigaSpaces vs. Microsoft Azure Synapse Analytics vs. ObjectBox vs. Yanza

System Properties Comparison Firebase Realtime Database vs. GigaSpaces vs. Microsoft Azure Synapse Analytics vs. ObjectBox vs. Yanza

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonObjectBox  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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerExtremely fast embedded database for small devices, IoT and MobileTime Series DBMS for IoT Applications
Primary database modelDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSObject oriented DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.00
Rank#39  Overall
#6  Document stores
Score1.02
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score1.22
Rank#172  Overall
#5  Object oriented DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.gigaspaces.comazure.microsoft.com/­services/­synapse-analyticsobjectbox.ioyanza.com
Technical documentationfirebase.google.com/­docs/­databasedocs.gigaspaces.com/­latest/­landing.htmldocs.microsoft.com/­azure/­synapse-analyticsdocs.objectbox.io
DeveloperGoogle infoacquired by Google 2014Gigaspaces TechnologiesMicrosoftObjectBox LimitedYanza
Initial release20122000201620172015
Current release15.5, September 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoApache License 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono 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 languageJava, C++, .NetC++C and C++
Server operating systemshostedLinux
macOS
Solaris
Windows
hostedAndroid
iOS
Linux
macOS
Windows
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 infoXML can be used for describing objects metadatanonono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoSQL-99 for query and DML statementsyesnono
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Proprietary native APIHTTP API
Supported programming languagesJava
JavaScript
Objective-C
.Net
C++
Java
Python
Scala
C#
Java
PHP
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
any language that supports HTTP calls
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesTransact SQLnono
TriggersCallbacks are triggered when data changesyes, event driven architecturenonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesonline/offline synchronization between client and servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnonono
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 infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACIDno
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.yesno
User concepts infoAccess controlyes, based on authentication and database rulesRole-based access controlyesyesno
More information provided by the system vendor
Firebase Realtime DatabaseGigaSpacesMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseObjectBoxYanza
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 DatabaseGigaSpacesMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseObjectBoxYanza
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