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DBMS > EJDB vs. FatDB vs. Fujitsu Enterprise Postgres vs. Google Cloud Firestore

System Properties Comparison EJDB vs. FatDB vs. Fujitsu Enterprise Postgres vs. Google Cloud Firestore

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFatDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A .NET NoSQL DBMS that can integrate with and extend SQL Server.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 modelDocument storeDocument store
Key-value store
Relational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Websitegithub.com/­Softmotions/­ejdbwww.postgresql.fastware.comfirebase.google.com/­products/­firestore
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.postgresql.fastware.com/­product-manualsfirebase.google.com/­docs/­firestore
DeveloperSoftmotionsFatCloudPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGoogle
Initial release201220122017
Current releaseFujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open SourceOpen Source infoGPLv2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC#C
Server operating systemsserver-lessWindowsLinux
Windows
hosted
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyes
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.no
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL Serveryesno
APIs and other access methodsin-process shared library.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
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 languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#.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 proceduresnoyes infovia applicationsuser defined functionsyes, Firebase Rules & Cloud Functions
Triggersnoyes infovia applicationsyesyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesnoneShardingpartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDyes
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
User concepts infoAccess controlnono infoCan implement custom security layer via applicationsfine 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.

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More resources
EJDBFatDBFujitsu Enterprise PostgresGoogle Cloud Firestore
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