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DBMS > Galaxybase vs. Google Cloud Firestore vs. IBM Db2

System Properties Comparison Galaxybase vs. Google Cloud Firestore vs. IBM Db2

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Editorial information provided by DB-Engines
NameGalaxybase  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparison
DescriptionScalable, ACID-compliant native distributed parallel graph platformCloud 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.Common in IBM host environments, 2 different versions for host and Windows/Linux
Primary database modelGraph DBMSDocument storeRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDB
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#39  Graph DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score128.46
Rank#8  Overall
#5  Relational DBMS
Websitegalaxybase.comfirebase.google.com/­products/­firestorewww.ibm.com/­products/­db2
Technical documentationfirebase.google.com/­docs/­firestorewww.ibm.com/­docs/­en/­db2
DeveloperChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司GoogleIBM
Initial release201720171983 infohost version
Current releaseNov 20, November 202112.1, October 2016
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree version is available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and JavaC and C++
Server operating systemsLinuxhostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
Data schemeStrong typed schemaschema-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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsBrowser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Supported programming languagesGo
Java
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined procedures and functionsyes, Firebase Rules & Cloud Functionsyes
Triggersyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoonly with Windows/Unix/Linux Version
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infowith separate tools (MQ, InfoSphere)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yes
User concepts infoAccess controlRole-based access controlAccess 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-standard

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More resources
GalaxybaseGoogle Cloud FirestoreIBM Db2 infoformerly named DB2 or IBM Database 2
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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