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DBMS > Drizzle vs. Firebase Realtime Database vs. GigaSpaces vs. GridGain vs. Linter

System Properties Comparison Drizzle vs. Firebase Realtime Database vs. GigaSpaces vs. GridGain vs. Linter

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGridGain  Xexclude from comparisonLinter  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Cloud-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 TransactionsGridGain is an in-memory computing platform, built on Apache IgniteRDBMS for high security requirements
Primary database modelRelational DBMSDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Relational DBMS
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
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.gigaspaces.comwww.gridgain.comlinter.ru
Technical documentationfirebase.google.com/­docs/­databasedocs.gigaspaces.com/­latest/­landing.htmlwww.gridgain.com/­docs/­index.html
DeveloperDrizzle project, originally started by Brian AkerGoogle infoacquired by Google 2014Gigaspaces TechnologiesGridGain Systems, Inc.relex.ru
Initial release20082012200020071990
Current release7.2.4, September 201215.5, September 2020GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, C++, .NetJava, C++, .NetC and C++
Server operating systemsFreeBSD
Linux
OS X
hostedLinux
macOS
Solaris
Windows
Linux
OS X
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyesschema-freeschema-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 metadatayesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-99 for query and DML statementsANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesC
C++
Java
PHP
Java
JavaScript
Objective-C
.Net
C++
Java
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yesyes (compute grid and cache interceptors can be used instead)yes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersno infohooks for callbacks inside the server can be used.Callbacks are triggered when data changesyes, event driven architectureyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsyes (compute grid and hadoop accelerator)no
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPyes, based on authentication and database rulesRole-based access controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
DrizzleFirebase Realtime DatabaseGigaSpacesGridGainLinter
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