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

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

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonCitus  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable 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 Ignite
Primary database modelObject oriented DBMSRelational DBMSDocument storeKey-value store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Websiteatoti.iowww.citusdata.comfirebase.google.com/­products/­realtime-databasewww.gridgain.com
Technical documentationdocs.atoti.iodocs.citusdata.comfirebase.google.com/­docs/­databasewww.gridgain.com/­docs/­index.html
DeveloperActiveViamGoogle infoacquired by Google 2014GridGain Systems, Inc.
Initial release201020122007
Current release8.1, December 2018GridGain 8.5.1
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoAGPL, commercial license also availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJava, C++, .Net
Server operating systemsLinuxhostedLinux
OS X
Solaris
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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 functionalitynoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yes infostandard, with numerous extensionsnoANSI-99 for query and DML statements, subset of DDL
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
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
Server-side scripts infoStored proceduresPythonuser 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)
TriggersyesCallbacks are triggered when data changesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)
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 integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesSecurity Hooks for custom implementations

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More resources
atotiCitusFirebase Realtime DatabaseGridGain
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