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DBMS > Google Cloud Firestore vs. Ingres vs. PostgreSQL vs. RocksDB vs. Snowflake

System Properties Comparison Google Cloud Firestore vs. Ingres vs. PostgreSQL vs. RocksDB vs. Snowflake

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonIngres  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRocksDB  Xexclude from comparisonSnowflake  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.Well established RDBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Cloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument storeRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Key-value storeRelational DBMS
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
Score7.36
Rank#53  Overall
#9  Document stores
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websitefirebase.google.com/­products/­firestorewww.actian.com/­databases/­ingreswww.postgresql.orgrocksdb.orgwww.snowflake.com
Technical documentationfirebase.google.com/­docs/­firestoredocs.actian.com/­ingreswww.postgresql.org/­docsgithub.com/­facebook/­rocksdb/­wikidocs.snowflake.net/­manuals/­index.html
DeveloperGoogleActian CorporationPostgreSQL Global Development Group infowww.postgresql.org/­developerFacebook, Inc.Snowflake Computing Inc.
Initial release20171974 infooriginally developed at University Berkely in early 1970s1989 info1989: Postgres, 1996: PostgreSQL20132014
Current release11.2, May 202216.3, May 20249.2.1, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCC++
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linuxhosted
Data schemeschema-freeyesyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 infobut tools for importing/exporting data from/to XML-files availableyes infospecific XML-type available, but no XML query functionality.noyes
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyesyes infostandard with numerous extensionsnoyes
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
CLI Client
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
Perl
Python
Ruby
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nouser defined functions
Triggersyes, with Cloud Functionsyesyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslypartitioning by range, list and (since PostgreSQL 11) by hashhorizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationIngres ReplicatorSource-replica replication infoother methods possible by using 3rd party extensionsyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
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-standardfine grained access rights according to SQL-standardnoUsers with fine-grained authorization concept, user roles and pluggable authentication

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