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DBMS > Firebase Realtime Database vs. GridGain vs. Hypertable vs. Postgres-XL

System Properties Comparison Firebase Realtime Database vs. GridGain vs. Hypertable vs. Postgres-XL

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGridGain  Xexclude from comparisonHypertable  Xexclude from comparisonPostgres-XL  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.GridGain is an in-memory computing platform, built on Apache IgniteAn open source BigTable implementation based on distributed file systems such as HadoopBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument storeColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Wide column storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.60
Rank#39  Overall
#6  Document stores
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.gridgain.comwww.postgres-xl.org
Technical documentationfirebase.google.com/­docs/­databasewww.gridgain.com/­docs/­index.htmlwww.postgres-xl.org/­documentation
DeveloperGoogle infoacquired by Google 2014GridGain Systems, Inc.Hypertable Inc.
Initial release2012200720092014 infosince 2012, originally named StormDB
Current releaseGridGain 8.5.10.9.8.11, March 201610 R1, October 2018
License infoCommercial or Open Sourcecommercialcommercial, open sourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .Net, Python, REST, SQLC++C
Server operating systemshostedLinux
OS X
Solaris
Windows
z/OS
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyesyes infoXML type, but no XML query functionality
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoyes infodistributed, parallel query execution
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
C++ API
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
JavaScript
Objective-C
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes (compute grid and cache interceptors can be used instead)nouser defined functions
TriggersCallbacks are triggered when data changesyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID infoMVCC
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.yesno
User concepts infoAccess controlyes, based on authentication and database rulesRole-based access control
Security Hooks for custom implementations
nofine grained access rights according to SQL-standard

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More resources
Firebase Realtime DatabaseGridGainHypertablePostgres-XL
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