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

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

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonDrizzle  Xexclude from comparisonFirebase Realtime Database  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.
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLMySQL 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.GridGain is an in-memory computing platform, built on Apache IgniteRDBMS for high security requirements
Primary database modelRelational DBMSRelational DBMSDocument storeKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Websitebrytlyt.iofirebase.google.com/­products/­realtime-databasewww.gridgain.comlinter.ru
Technical documentationdocs.brytlyt.iofirebase.google.com/­docs/­databasewww.gridgain.com/­docs/­index.html
DeveloperBrytlytDrizzle project, originally started by Brian AkerGoogle infoacquired by Google 2014GridGain Systems, Inc.relex.ru
Initial release20162008201220071990
Current release5.0, August 20237.2.4, September 2012GridGain 8.5.1
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC++Java, C++, .NetC and C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
hostedLinux
OS X
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyesyesschema-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.yes infospecific XML-type available, but no XML query functionality.noyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsnoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCAndroid
iOS
JavaScript API
RESTful HTTP API
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 languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C++
Java
PHP
Java
JavaScript
Objective-C
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnolimited functionality with using 'rules'yes (compute grid and cache interceptors can be used instead)yes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersyesno infohooks for callbacks inside the server can be used.Callbacks are triggered when data changesyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACIDACID
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.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPyes, based on authentication and database rulesSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
BrytlytDrizzleFirebase Realtime DatabaseGridGainLinter
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