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DBMS > Drizzle vs. Firebase Realtime Database vs. GridGain vs. IBM Cloudant vs. Kinetica

System Properties Comparison Drizzle vs. Firebase Realtime Database vs. GridGain vs. IBM Cloudant vs. Kinetica

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGridGain  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonKinetica  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.GridGain is an in-memory computing platform, built on Apache IgniteDatabase as a Service offering based on Apache CouchDBFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSDocument storeKey-value store
Relational DBMS
Document storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.gridgain.comwww.ibm.com/­products/­cloudantwww.kinetica.com
Technical documentationfirebase.google.com/­docs/­databasewww.gridgain.com/­docs/­index.htmlcloud.ibm.com/­docs/­Cloudantdocs.kinetica.com
DeveloperDrizzle project, originally started by Brian AkerGoogle infoacquired by Google 2014GridGain Systems, Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Kinetica
Initial release20082012200720102012
Current release7.2.4, September 2012GridGain 8.5.17.1, August 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .NetErlangC, C++
Server operating systemsFreeBSD
Linux
OS X
hostedLinux
OS X
Solaris
Windows
hostedLinux
Data schemeyesschema-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.noyesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoANSI-99 for query and DML statements, subset of DDLnoSQL-like DML and DDL statements
APIs and other access methodsJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
Java
JavaScript
Objective-C
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yes (compute grid and cache interceptors can be used instead)View functions (Map-Reduce) in JavaScriptuser defined functions
Triggersno infohooks for callbacks inside the server can be used.Callbacks are triggered when data changesyes (cache interceptors and events)yesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes (replicated cache)Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (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 ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDno infoatomic operations within a document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic lockingyes
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 infoGPU vRAM or System RAM
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPyes, based on authentication and database rulesSecurity Hooks for custom implementationsAccess rights for users can be defined per databaseAccess rights for users and roles on table level

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More resources
DrizzleFirebase Realtime DatabaseGridGainIBM CloudantKinetica
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