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DBMS > GeoSpock vs. Google Cloud Firestore vs. MonetDB vs. Stardog

System Properties Comparison GeoSpock vs. Google Cloud Firestore vs. MonetDB vs. Stardog

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMonetDB  Xexclude from comparisonStardog  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleCloud 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 relational database management system that stores data in columnsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSDocument storeRelational DBMSGraph DBMS
RDF store
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitegeospock.comfirebase.google.com/­products/­firestorewww.monetdb.orgwww.stardog.com
Technical documentationfirebase.google.com/­docs/­firestorewww.monetdb.org/­Documentationdocs.stardog.com
DeveloperGeoSpockGoogleMonetDB BVStardog-Union
Initial release201720042010
Current release2.0, September 2019Dec2023 (11.49), December 20237.3.0, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla Public License 2.0commercial 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 serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptCJava
Server operating systemshostedhostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesschema-freeyesschema-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 indexestemporal, categoricalyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLANSI SQL for query only (using Presto)noyes infoSQL 2003 with some extensionsYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBCAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
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
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsyes, in SQL, C, Ruser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyes, with Cloud Functionsyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding via remote tablesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnone infoSource-replica replication available in experimental statusMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes
User concepts infoAccess controlAccess rights for users can be defined per tableAccess 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-standardAccess rights for users and roles

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More resources
GeoSpockGoogle Cloud FirestoreMonetDBStardog
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