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DBMS > Firebase Realtime Database vs. GigaSpaces vs. GridDB vs. Hypertable

System Properties Comparison Firebase Realtime Database vs. GigaSpaces vs. GridDB vs. Hypertable

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGridDB  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed 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 TransactionsScalable in-memory time series database optimized for IoT and Big DataAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSWide column store
Secondary database modelsGraph DBMS
Search engine
Key-value store
Relational 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
Score2.02
Rank#132  Overall
#11  Time Series DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.gigaspaces.comgriddb.net
Technical documentationfirebase.google.com/­docs/­databasedocs.gigaspaces.com/­latest/­landing.htmldocs.griddb.net
DeveloperGoogle infoacquired by Google 2014Gigaspaces TechnologiesToshiba CorporationHypertable Inc.
Initial release2012200020132009
Current release15.5, September 20205.1, August 20220.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++C++
Server operating systemshostedLinux
macOS
Solaris
Windows
LinuxLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampno
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 metadatano
Secondary indexesyesyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnoSQL-99 for query and DML statementsSQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
C++ API
Thrift
Supported programming languagesJava
JavaScript
Objective-C
.Net
C++
Java
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesnono
TriggersCallbacks are triggered when data changesyes, event driven architectureyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes
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 within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID at container levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyes, based on authentication and database rulesRole-based access controlAccess rights for users can be defined per databaseno
More information provided by the system vendor
Firebase Realtime DatabaseGigaSpacesGridDBHypertable
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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Firebase Realtime DatabaseGigaSpacesGridDBHypertable
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