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DBMS > FatDB vs. Firebird vs. Google Cloud Firestore vs. HBase

System Properties Comparison FatDB vs. Firebird vs. Google Cloud Firestore vs. HBase

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonFirebird  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHBase  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Firebird is an open source RDBMS forked from Borland's InterBaseCloud 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.Wide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Websitewww.firebirdsql.orgfirebase.google.com/­products/­firestorehbase.apache.org
Technical documentationwww.firebirdsql.org/­en/­reference-manualsfirebase.google.com/­docs/­firestorehbase.apache.org/­book.html
DeveloperFatCloudFirebird FoundationGoogleApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release20122000 infoAs fork of Borland's InterBase20172008
Current release5.0.0, January 20242.3.4, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public LicensecommercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C and C++Java
Server operating systemsWindowsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedLinux
Unix
Windows infousing Cygwin
Data schemeschema-freeyesschema-freeschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesyesoptions to bring your own types, AVRO
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 indexesyesyesyesno
SQL infoSupport of SQLno infoVia inetgration in SQL Serveryesnono
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
Supported programming languagesC#C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresyes infovia applicationsPSQLyes, Firebase Rules & Cloud Functionsyes infoCoprocessors in Java
Triggersyes infovia applicationsyesyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoUsing Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
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.yes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsUsers with fine-grained authorization conceptAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
FatDBFirebirdGoogle Cloud FirestoreHBase
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