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DBMS > Citus vs. Firebase Realtime Database vs. GridGain vs. OrientDB

System Properties Comparison Citus vs. Firebase Realtime Database vs. GridGain vs. OrientDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGridGain  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLCloud-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 IgniteMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSDocument storeKey-value store
Relational DBMS
Document store
Graph DBMS
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#123  Overall
#60  Relational DBMS
Score15.00
Rank#39  Overall
#6  Document stores
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score3.27
Rank#97  Overall
#16  Document stores
#6  Graph DBMS
#15  Key-value stores
Websitewww.citusdata.comfirebase.google.com/­products/­realtime-databasewww.gridgain.comorientdb.org
Technical documentationdocs.citusdata.comfirebase.google.com/­docs/­databasewww.gridgain.com/­docs/­index.htmlwww.orientdb.com/­docs/­last/­index.html
DeveloperGoogle infoacquired by Google 2014GridGain Systems, Inc.OrientDB LTD; CallidusCloud; SAP
Initial release2010201220072010
Current release8.1, December 2018GridGain 8.5.13.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialcommercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, C++, .NetJava
Server operating systemsLinuxhostedLinux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeyesschema-freeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyesyesyes
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 functionalitynoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoANSI-99 for query and DML statements, subset of DDLSQL-like query language, no joins
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
JavaScript
Objective-C
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.limited functionality with using 'rules'yes (compute grid and cache interceptors can be used instead)Java, Javascript
TriggersyesCallbacks are triggered when data changesyes (cache interceptors and events)Hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyes (replicated cache)Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no infocould be achieved with distributed queries
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 Consistency
Foreign keys infoReferential integrityyesnonoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesSecurity Hooks for custom implementationsAccess rights for users and roles; record level security configurable

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More resources
CitusFirebase Realtime DatabaseGridGainOrientDB
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