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DBMS > Google Cloud Firestore vs. PostgreSQL vs. Quasardb vs. SAP HANA vs. Sequoiadb

System Properties Comparison Google Cloud Firestore vs. PostgreSQL vs. Quasardb vs. SAP HANA vs. Sequoiadb

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonPostgreSQL  Xexclude from comparisonQuasardb  Xexclude from comparisonSAP HANA  Xexclude from comparisonSequoiadb  Xexclude from comparison
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.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLDistributed, high-performance timeseries databaseIn-memory, column based data store. Available as appliance or cloud serviceNewSQL database with distributed OLTP and SQL
Primary database modelDocument storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitefirebase.google.com/­products/­firestorewww.postgresql.orgquasar.aiwww.sap.com/­products/­hana.htmlwww.sequoiadb.com
Technical documentationfirebase.google.com/­docs/­firestorewww.postgresql.org/­docsdoc.quasar.ai/­masterhelp.sap.com/­hanawww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperGooglePostgreSQL Global Development Group infowww.postgresql.org/­developerquasardbSAPSequoiadb Ltd.
Initial release20171989 info1989: Postgres, 1996: PostgreSQL200920102013
Current release16.3, May 20243.14.1, January 20242.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesnonono infoalso available as a cloud based serviceno
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Implementation languageCC++C++
Server operating systemshostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
BSD
Linux
OS X
Windows
Appliance or cloud-serviceLinux
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesyes infooid, date, timestamp, binary, regex
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.nonono
Secondary indexesyesyesyes infowith tagsyesyes
SQL infoSupport of SQLnoyes infostandard with numerous extensionsSQL-like query languageyesSQL-like query language
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIJDBC
ODBC
proprietary protocol using JSON
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noSQLScript, RJavaScript
Triggersyes, with Cloud Functionsyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and (since PostgreSQL 11) by hashSharding infoconsistent hashingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication with selectable replication factoryesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyesno
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.fine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailyessimple password-based access control

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More resources
Google Cloud FirestorePostgreSQLQuasardbSAP HANASequoiadb
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