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DBMS > DataFS vs. Fujitsu Enterprise Postgres vs. Google Cloud Firestore

System Properties Comparison DataFS vs. Fujitsu Enterprise Postgres vs. Google Cloud Firestore

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Cloud 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.
Primary database modelObject oriented DBMSRelational DBMSDocument store
Secondary database modelsGraph DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Websitenewdatabase.comwww.postgresql.fastware.comfirebase.google.com/­products/­firestore
Technical documentationdev.mobiland.com/­Overview.xspwww.postgresql.fastware.com/­product-manualsfirebase.google.com/­docs/­firestore
DeveloperMobiland AGPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGoogle
Initial release20182017
Current release1.1.263, October 2022Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemsWindowsLinux
Windows
hosted
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-free
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 indexesnoyesyes
SQL infoSupport of SQLnoyesno
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresuser defined functionsyes, Firebase Rules & Cloud Functions
Triggersno, except callback-events from server when changes happenedyesyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systempartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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.no
User concepts infoAccess controlWindows-Profilefine 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.
More information provided by the system vendor
DataFSFujitsu Enterprise PostgresGoogle Cloud Firestore
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
DataFSFujitsu Enterprise PostgresGoogle Cloud Firestore
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