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DBMS > Google Cloud Firestore vs. Hypertable vs. Microsoft Access vs. PostgreSQL

System Properties Comparison Google Cloud Firestore vs. Hypertable vs. Microsoft Access vs. PostgreSQL

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonHypertable  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPostgreSQL  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionCloud 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.An open source BigTable implementation based on distributed file systems such as HadoopMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument storeWide column storeRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.63
Rank#54  Overall
#9  Document stores
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score644.36
Rank#4  Overall
#4  Relational DBMS
Websitefirebase.google.com/­products/­firestorewww.microsoft.com/­en-us/­microsoft-365/­accesswww.postgresql.org
Technical documentationfirebase.google.com/­docs/­firestoredeveloper.microsoft.com/­en-us/­accesswww.postgresql.org/­docs
DeveloperGoogleHypertable Inc.MicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2017200919921989 info1989: Postgres, 1996: PostgreSQL
Current release0.9.8.11, March 20161902 (16.0.11328.20222), March 201916.4, August 2024
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercial infoBundled with Microsoft OfficeOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
Windows infoNot a real database server, but making use of DLLsFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.noyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLnonoyes infobut not compliant to any SQL standardyes infostandard with numerous extensions
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
C++ API
Thrift
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsnoyes infosince Access 2010 using the ACE-engineuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyes, with Cloud Functionsnoyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor on file system levelnoneSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.nono infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standard

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More resources
Google Cloud FirestoreHypertableMicrosoft AccessPostgreSQL
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