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DBMS > Amazon Aurora vs. Citus vs. Google Cloud Firestore vs. Greenplum vs. GridGain

System Properties Comparison Amazon Aurora vs. Citus vs. Google Cloud Firestore vs. Greenplum vs. GridGain

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonCitus  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGreenplum  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.GridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMSKey-value store
Relational DBMS
Secondary database modelsDocument storeDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.citusdata.comfirebase.google.com/­products/­firestoregreenplum.orgwww.gridgain.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.citusdata.comfirebase.google.com/­docs/­firestoredocs.greenplum.orgwww.gridgain.com/­docs/­index.html
DeveloperAmazonGooglePivotal Software Inc.GridGain Systems, Inc.
Initial release20152010201720052007
Current release8.1, December 20187.0.0, September 2023GridGain 8.5.1
License infoCommercial or Open SourcecommercialOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, C++, .Net
Server operating systemshostedLinuxhostedLinuxLinux
OS X
Solaris
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.yesyes infospecific XML type available, but no XML query functionalitynoyes infosince Version 4.2yes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyes infostandard, with numerous extensionsnoyesANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
Java
Perl
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes, Firebase Rules & Cloud Functionsyesyes (compute grid and cache interceptors can be used instead)
Triggersyesyesyes, with Cloud Functionsyesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replicationSource-replica replicationyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowyesyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesno
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.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standardSecurity Hooks for custom implementations

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More resources
Amazon AuroraCitusGoogle Cloud FirestoreGreenplumGridGain
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