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DBMS > Firebase Realtime Database vs. GigaSpaces vs. Google Cloud Bigtable vs. Hypertable vs. Interbase

System Properties Comparison Firebase Realtime Database vs. GigaSpaces vs. Google Cloud Bigtable vs. Hypertable vs. Interbase

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHypertable  Xexclude from comparisonInterbase  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 TransactionsGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.An open source BigTable implementation based on distributed file systems such as HadoopLight-weight proven RDBMS infooriginally from Borland
Primary database modelDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Wide column store
Wide column storeRelational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score4.61
Rank#72  Overall
#39  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.gigaspaces.comcloud.google.com/­bigtablewww.embarcadero.com/­products/­interbase
Technical documentationfirebase.google.com/­docs/­databasedocs.gigaspaces.com/­latest/­landing.htmlcloud.google.com/­bigtable/­docsdocs.embarcadero.com/­products/­interbase
DeveloperGoogle infoacquired by Google 2014Gigaspaces TechnologiesGoogleHypertable Inc.Embarcadero
Initial release20122000201520091984
Current release15.5, September 20200.9.8.11, March 2016InterBase 2020, December 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
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
hostedLinux
OS X
Windows infoan inofficial Windows port is available
Android
iOS
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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 infoexport as XML data possible
Secondary indexesyesyesnorestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsnonoyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
C++ API
Thrift
ADO.NET
JDBC
ODBC
Supported programming languagesJava
JavaScript
Objective-C
.Net
C++
Java
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesnonoyes infoInterbase procedure and trigger language
TriggersCallbacks are triggered when data changesyes, event driven architecturenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Internal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor on file system levelInterbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyesyesno
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 (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDAtomic single-row operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMultiversion concurreny control
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.yesnoyes
User concepts infoAccess controlyes, based on authentication and database rulesRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standard

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More resources
Firebase Realtime DatabaseGigaSpacesGoogle Cloud BigtableHypertableInterbase
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