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DBMS > Firebase Realtime Database vs. GeoSpock vs. Google Cloud Datastore vs. Trafodion

System Properties Comparison Firebase Realtime Database vs. GeoSpock vs. Google Cloud Datastore vs. Trafodion

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonTrafodion  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Apache Trafodion has been retired in 2021. Therefore it is 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 scaleAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformTransactional SQL-on-Hadoop DBMS
Primary database modelDocument storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.00
Rank#39  Overall
#6  Document stores
Score4.49
Rank#79  Overall
#12  Document stores
Websitefirebase.google.com/­products/­realtime-databasegeospock.comcloud.google.com/­datastoretrafodion.apache.org
Technical documentationfirebase.google.com/­docs/­databasecloud.google.com/­datastore/­docstrafodion.apache.org/­documentation.html
DeveloperGoogle infoacquired by Google 2014GeoSpockGoogleApache Software Foundation, originally developed by HP
Initial release201220082014
Current release2.0, September 20192.3.0, February 2019
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++, Java
Server operating systemshostedhostedhostedLinux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes, details hereyes
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 indexesyestemporal, categoricalyesyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)SQL-like query language (GQL)yes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Supported programming languagesJava
JavaScript
Objective-C
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored procedureslimited functionality with using 'rules'nousing Google App EngineJava Stored Procedures
TriggersCallbacks are triggered when data changesnoCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
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.nonono
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
Firebase Realtime DatabaseGeoSpockGoogle Cloud DatastoreTrafodion
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