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DBMS > Google Cloud Firestore vs. InfinityDB vs. MySQL vs. SQL.JS

System Properties Comparison Google Cloud Firestore vs. InfinityDB vs. MySQL vs. SQL.JS

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonInfinityDB  Xexclude from comparisonMySQL  Xexclude from comparisonSQL.JS  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.A Java embedded Key-Value Store which extends the Java Map interfaceWidely used open source RDBMSPort of SQLite to JavaScript
Primary database modelDocument storeKey-value storeRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score0.08
Rank#365  Overall
#55  Key-value stores
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websitefirebase.google.com/­products/­firestoreboilerbay.comwww.mysql.comsql.js.org
Technical documentationfirebase.google.com/­docs/­firestoreboilerbay.com/­infinitydb/­manualdev.mysql.com/­docsql.js.org/­documentation/­index.html
DeveloperGoogleBoiler Bay Inc.Oracle infosince 2010, originally MySQL AB, then SunAlon Zakai infoenhancements implemented by others
Initial release2017200219952012
Current release4.08.4.0, April 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageJavaC and C++JavaScript
Server operating systemshostedAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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.nonoyesno
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLnonoyes infowith proprietary extensionsyes infoSQL-92 is not fully supported
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
Proprietary native API
JavaScript API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScript
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsnoyes infoproprietary syntaxno
Triggersyes, with Cloud Functionsnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistencynone
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoOptimistic locking for transactions; no isolation for bulk loadsACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
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.noUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
Google Cloud FirestoreInfinityDBMySQLSQL.JS
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