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DBMS > Firebase Realtime Database vs. GigaSpaces vs. Graph Engine vs. Hypertable vs. Netezza

System Properties Comparison Firebase Realtime Database vs. GigaSpaces vs. Graph Engine vs. Hypertable vs. Netezza

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHypertable  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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 TransactionsA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAn open source BigTable implementation based on distributed file systems such as HadoopData warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
Key-value 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
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.gigaspaces.comwww.graphengine.iowww.ibm.com/­products/­netezza
Technical documentationfirebase.google.com/­docs/­databasedocs.gigaspaces.com/­latest/­landing.htmlwww.graphengine.io/­docs/­manual
DeveloperGoogle infoacquired by Google 2014Gigaspaces TechnologiesMicrosoftHypertable Inc.IBM
Initial release20122000201020092000
Current release15.5, September 20200.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoMIT LicenseOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .Net.NET and CC++
Server operating systemshostedLinux
macOS
Solaris
Windows
.NETLinux
OS X
Windows infoan inofficial Windows port is available
Linux infoincluded in appliance
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesrestricted 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
RESTful HTTP APIC++ API
Thrift
JDBC
ODBC
OLE DB
Supported programming languagesJava
JavaScript
Objective-C
.Net
C++
Java
Python
Scala
C#
C++
F#
Visual Basic
C++
Java
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesyesnoyes
TriggersCallbacks are triggered when data changesyes, event driven architecturenonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyesyes
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 integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 storageyesyes
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 controlnoUsers with fine-grained authorization concept

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More resources
Firebase Realtime DatabaseGigaSpacesGraph Engine infoformer name: TrinityHypertableNetezza infoAlso called PureData System for Analytics by IBM
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