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

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

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGridGain  Xexclude from comparisonLovefield  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.GridGain is an in-memory computing platform, built on Apache IgniteEmbeddable relational database for web apps written in pure JavaScriptA 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 storeKey-value store
Relational DBMS
Relational DBMSKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegeospock.comfirebase.google.com/­products/­firestorewww.gridgain.comgoogle.github.io/­lovefieldgithub.com/­bytedance/­terarkdb
Technical documentationfirebase.google.com/­docs/­firestorewww.gridgain.com/­docs/­index.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGeoSpockGoogleGridGain Systems, Inc.GoogleByteDance, originally Terark
Initial release2017200720142016
Current release2.0, September 2019GridGain 8.5.12.1.12, February 2017
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 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, JavascriptJava, C++, .NetJavaScriptC++
Server operating systemshostedhostedLinux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
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.nonoyesnono
Secondary indexestemporal, categoricalyesyesyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)noANSI-99 for query and DML statements, subset of DDLSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsJDBCAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
C++ API
Java API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScriptC++
Java
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsyes (compute grid and cache interceptors can be used instead)nono
Triggersnoyes, with Cloud Functionsyes (cache interceptors and events)Using read-only observersno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes (replicated cache)nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
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 persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes 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.Security Hooks for custom implementationsnono

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More resources
GeoSpockGoogle Cloud FirestoreGridGainLovefieldTerarkDB
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