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DBMS > Firebase Realtime Database vs. Firebolt vs. GigaSpaces vs. Graph Engine vs. H2

System Properties Comparison Firebase Realtime Database vs. Firebolt vs. GigaSpaces vs. Graph Engine vs. H2

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonFirebolt  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonH2  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.Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelDocument storeRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
Key-value store
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.firebolt.iowww.gigaspaces.comwww.graphengine.iowww.h2database.com
Technical documentationfirebase.google.com/­docs/­databasedocs.firebolt.iodocs.gigaspaces.com/­latest/­landing.htmlwww.graphengine.io/­docs/­manualwww.h2database.com/­html/­main.html
DeveloperGoogle infoacquired by Google 2014Firebolt Analytics Inc.Gigaspaces TechnologiesMicrosoftThomas Mueller
Initial release20122020200020102005
Current release15.5, September 20202.2.220, July 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoMIT LicenseOpen Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .Net.NET and CJava
Server operating systemshostedhostedLinux
macOS
Solaris
Windows
.NETAll OS with a Java VM
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 metadatanono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesSQL-99 for query and DML statementsnoyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
.Net
ODBC
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP APIJDBC
ODBC
Supported programming languagesJava
JavaScript
Objective-C
Go
JavaScript (Node.js)
Python
.Net
C++
Java
Python
Scala
C#
C++
F#
Visual Basic
Java
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyesyesJava Stored Procedures and User-Defined Functions
TriggersCallbacks are triggered when data changesnoyes, event driven architecturenoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
With clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsno
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 Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyes, based on authentication and database rulesRole-based access controlfine grained access rights according to SQL-standard

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More resources
Firebase Realtime DatabaseFireboltGigaSpacesGraph Engine infoformer name: TrinityH2
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