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DBMS > Google Cloud Firestore vs. HyperSQL vs. Lovefield

System Properties Comparison Google Cloud Firestore vs. HyperSQL vs. Lovefield

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonLovefield  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.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBEmbeddable relational database for web apps written in pure JavaScript
Primary database modelDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.96
Rank#48  Overall
#8  Document stores
Score3.90
Rank#85  Overall
#46  Relational DBMS
Score0.32
Rank#290  Overall
#132  Relational DBMS
Websitefirebase.google.com/­products/­firestorehsqldb.orggoogle.github.io/­lovefield
Technical documentationfirebase.google.com/­docs/­firestorehsqldb.org/­web/­hsqlDocsFrame.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperGoogleGoogle
Initial release201720012014
Current release2.7.2, June 20232.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infobased on BSD licenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScript
Server operating systemshostedAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
All languages supporting JDBC/ODBC
Java
JavaScript
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsJava, SQLno
Triggersyes, with Cloud FunctionsyesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDB
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-standardno

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More resources
Google Cloud FirestoreHyperSQL infoalso known as HSQLDBLovefield
DB-Engines blog posts

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8 March 2024, Appinventiv

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1 March 2024, Forbes

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10 May 2023, TechCrunch

Google's Cloud Firestore is now generally available
31 January 2019, ZDNet

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