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DBMS > GeoSpock vs. Google Cloud Firestore vs. Lovefield vs. MonetDB vs. TerarkDB

System Properties Comparison GeoSpock vs. Google Cloud Firestore vs. Lovefield vs. MonetDB vs. TerarkDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonLovefield  Xexclude from comparisonMonetDB  Xexclude from comparisonTerarkDB  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.Embeddable relational database for web apps written in pure JavaScriptA relational database management system that stores data in columnsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegeospock.comfirebase.google.com/­products/­firestoregoogle.github.io/­lovefieldwww.monetdb.orggithub.com/­bytedance/­terarkdb
Technical documentationfirebase.google.com/­docs/­firestoregithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.monetdb.org/­Documentationbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGeoSpockGoogleGoogleMonetDB BVByteDance, originally Terark
Initial release2017201420042016
Current release2.0, September 20192.1.12, February 2017Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaScriptCC++
Server operating systemshostedhostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononono
Secondary indexestemporal, categoricalyesyesyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)noSQL-like query language infovia JavaScript builder patternyes infoSQL 2003 with some extensionsno
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
C++ API
Java API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaScriptC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Java
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsnoyes, in SQL, C, Rno
Triggersnoyes, with Cloud FunctionsUsing read-only observersyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnoneSharding via remote tablesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnonenone infoSource-replica replication available in experimental statusnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByes
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.nofine grained access rights according to SQL-standardno

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More resources
GeoSpockGoogle Cloud FirestoreLovefieldMonetDBTerarkDB
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