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DBMS > AgensGraph vs. Firebase Realtime Database vs. GridDB vs. Postgres-XL

System Properties Comparison AgensGraph vs. Firebase Realtime Database vs. GridDB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGridDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Scalable in-memory time series database optimized for IoT and Big DataBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelGraph DBMS
Relational DBMS
Document storeTime Series DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score13.60
Rank#39  Overall
#6  Document stores
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Websitebitnine.net/­agensgraphfirebase.google.com/­products/­realtime-databasegriddb.netwww.postgres-xl.org
Technical documentationbitnine.net/­documentationfirebase.google.com/­docs/­databasedocs.griddb.netwww.postgres-xl.org/­documentation
DeveloperBitnine Global Inc.Google infoacquired by Google 2014Toshiba Corporation
Initial release2016201220132014 infosince 2012, originally named StormDB
Current release2.1, December 20185.1, August 202210 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C
Server operating systemsLinux
OS X
Windows
hostedLinuxLinux
macOS
Data schemedepending on used data modelschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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.nononoyes infoXML type, but no XML query functionality
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoSQL92, SQL-like TQL (Toshiba Query Language)yes infodistributed, parallel query execution
APIs and other access methodsCypher Query Language
JDBC
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
Java
JavaScript
Python
Java
JavaScript
Objective-C
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'nouser defined functions
TriggersnoCallbacks are triggered when data changesyesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
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 within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID at container levelACID infoMVCC
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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesAccess rights for users can be defined per databasefine grained access rights according to SQL-standard

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More resources
AgensGraphFirebase Realtime DatabaseGridDBPostgres-XL
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