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DBMS > Firebase Realtime Database vs. GeoSpock vs. Rockset vs. Spark SQL

System Properties Comparison Firebase Realtime Database vs. GeoSpock vs. Rockset vs. Spark SQL

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGeoSpock  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Spatial and temporal data processing engine for extreme data scaleA scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsTime Series DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score0.82
Rank#212  Overall
#36  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasegeospock.comrockset.comspark.apache.org/­sql
Technical documentationfirebase.google.com/­docs/­databasedocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGoogle infoacquired by Google 2014GeoSpockRocksetApache Software Foundation
Initial release201220192014
Current release2.0, September 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++Scala
Server operating systemshostedhostedhostedLinux
OS X
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesdynamic typingyes
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 infoingestion from XML files supportedno
Secondary indexesyestemporal, categoricalall fields are automatically indexedno
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)Read-only SQL queries, including JOINsSQL-like DML and DDL statements
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBCHTTP RESTJDBC
ODBC
Supported programming languagesJava
JavaScript
Objective-C
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored procedureslimited functionality with using 'rules'nonono
TriggersCallbacks are triggered when data changesnonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingAutomatic shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonono
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.nono
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users can be defined per tableAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
Firebase Realtime DatabaseGeoSpockRocksetSpark SQL
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
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