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DBMS > Google Cloud Firestore vs. HyperSQL vs. PlanetScale vs. Stardog

System Properties Comparison Google Cloud Firestore vs. HyperSQL vs. PlanetScale vs. Stardog

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonStardog  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 HSQLDBScalable, distributed, serverless MySQL database platform built on top of VitessEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument storeRelational DBMSRelational DBMSGraph DBMS
RDF store
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
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitefirebase.google.com/­products/­firestorehsqldb.orgplanetscale.comwww.stardog.com
Technical documentationfirebase.google.com/­docs/­firestorehsqldb.org/­web/­hsqlDocsFrame.htmlplanetscale.com/­docsdocs.stardog.com
DeveloperGooglePlanetScaleStardog-Union
Initial release2017200120202010
Current release2.7.2, June 20237.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infobased on BSD licensecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJava
Server operating systemshostedAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesDocker
Linux
macOS
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoImport/export of XML data possible
Secondary indexesyesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoyesyes infowith proprietary extensionsYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
All languages supporting JDBC/ODBC
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsJava, SQLyes infoproprietary syntaxuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes, with Cloud Functionsyesyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneMulti-source replication
Source-replica replication
Multi-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engineyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
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 infono user groups or rolesAccess rights for users and roles

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More resources
Google Cloud FirestoreHyperSQL infoalso known as HSQLDBPlanetScaleStardog
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