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DBMS > Google Cloud Firestore vs. Ingres vs. TDSQL for MySQL

System Properties Comparison Google Cloud Firestore vs. Ingres vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonIngres  Xexclude from comparisonTDSQL for MySQL  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 RDBMSA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitefirebase.google.com/­products/­firestorewww.actian.com/­databases/­ingreswww.tencentcloud.com/­products/­dcdb
Technical documentationfirebase.google.com/­docs/­firestoredocs.actian.com/­ingreswww.tencentcloud.com/­document/­product/­1042
DeveloperGoogleActian CorporationTencent
Initial release20171974 infooriginally developed at University Berkely in early 1970s2013
Current release11.2, May 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hosted
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 availableno
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesyes
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyesyes
Triggersyes, with Cloud Functionsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationIngres ReplicatorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
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-standardUsers with fine-grained authorization concept

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More resources
Google Cloud FirestoreIngresTDSQL for MySQL
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